PMID
int64 35.7M
36.4M
| Title/Abstract
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|---|---|---|---|
36,298,398
|
water turbid suspend particul matter concentr dredg materi dump site southern baltic dredg materi dump activ caus greatest chang coastal water result need regular monitor properti seawat relat water qualiti studi present first wide rang attempt correl seawat turbid suspend particul matter spm concentr within dump site adjac water basi situ measur year examin four dump site name darowo gdynia gdask dct locat polish coastal water baltic sea cours four measur campaign conduct spring summer autumn winter measur conduct use turbid sensor determin turbid formazin turbid unit ftu spectrophotomet determin concentr nutrient total phosphorus p tot phosphat phosphorus p po total nitrogen n tot ammonium nitrogen n nh nitrat nitrogen n well glass microfib filter determin concentr spm analysi relationship turbid spm within dump site comparison refer point show dump site complex water issu must approach local highest turbid valu regist spring correl linear spm concentr r moreov perform statist cluster analysi illustr similar sampl point four dumpsit base nutrient concentr conclud influenc dump site local bio optic chemic properti signific exceed border spread adjac water nutrient concentr mani case exceed legal polici limit
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D064751;D014874
|
T104;T197;T131
|
36,298,397
|
niti sma superelast micro cabl thermomechan behavior fatigu life dynam load shape memori alloy sma micro cabl wide potenti attenu vibrat structur health monitor due energi dissip work evalu effect sma thermomechan coupl dynam cycl fatigu life niti sma micro cabl submit tensil load frequenc hz hz thermomechan coupl character use previous develop methodolog identifi self heat frequenc dynam load frequenc micro cabl respons domin self heat stiffen signific cycl self heat frequenc structur function fatigu micro cabl evalu function load frequenc failur individu wire test perform singl wire equal cross section area comparison purpos observ micro cabl function properti regard energi dissip capac decreas throughout cycl increas frequenc due addit friction filament micro cabl dissip capac superior singl wire although fatigu life shorter delay failur compar singl wire make reliabl sensor structur health monitor
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D000080743;D014025
|
T196;T073
|
36,298,396
|
attent detect heartbeat respiratori featur radio frequenc sensor work present studi user attent detect refer relax inattent state use cloth radio frequenc rf sensor sensor coupl strong intern heart lung diaphragm motion base rf near field coher sens principl without requir tension chest belt skin contact electrocardiogram use cardiac respiratori featur distinguish attent engag vigil task relax inattent baselin state demonstr high qualiti vital rf sensor compar refer electrocardiogram respiratori tension belt well similar perform attent detect improv user comfort furthermor observ higher vigil attent detect accuraci use respiratori featur rather heartbeat featur high influenc user baselin emot arous level learn model note thus individu model person predict design particip lead averag accuraci unseen test data high sensit specif respect
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D056152;D011846
|
T201;T070
|
36,298,394
|
combin sbas insar pso rf algorithm evalu suscept predict landslid complex mountain area case studi ludian counti china complex mountain area earthquak frequent landslid hazard pose signific threat human life properti due high degre conceal complex develop mechan abrupt natur view problem exist landslid hazard suscept evalu model poor effect inaccuraci landslid hazard data need expert particip calcul larg number evalu factor weight classif statist paper combin sbas insar small baselin subset interferometr synthet apertur radar pso rf particl swarm optim random forest algorithm propos evalu suscept landslid hazard complex mountain region character frequent earthquak deep river valley larg terrain height differ first sbas insar techniqu use invert surfac deform rate studi area identifi potenti landslid hazard second studi area divid grid cell select environment factor analyz comprehens identifi effect evalu factor last landslid grid cell non landslid grid cell grid cell studi area random divid train dataset test dataset analyz real landslid non landslid data perform pso rf algorithm three machin learn algorithm bp back propag svm support vector machin rf random forest algorithm compar result show potenti landslid hazard updat use surfac deform rate exist landslid catalogu data furthermor area curv auc valu accuraci acc pso rf algorithm higher bp svm rf respect conclus method put forth paper effect updat landslid data sourc implement suscept predict assess landslid disast intric mountain area find serv strong refer prevent landslid hazard decis make mitig govern depart
|
D055876
|
T070
|
36,298,393
|
design implement modular uuv simul platform complex time vari marin environ put forward demand requir structur design algorithm develop unman underwat vehicl uuv inevit repeat evalu feasibl autonomi scheme enhanc intellig secur uuv put use consid high cost uuv hardwar platform high risk underwat experi studi aim evalu optim autonomi scheme manner softwar loop sil simul effici therefor self feedback develop framework propos multi interfac programm modular simul platform uuv base robot oper system ros design platform integr marin environ uuv model sensor plugin motion control plugin modular manner reserv program interfac user test various algorithm subsequ demonstr simul detail case singl uuv path plan task schedul multi uuv format control construct underwat experi confirm feasibl simul platform final extens simul platform relat perform analysi discuss
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D000465;D012984
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T090;T170;T073
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36,298,389
|
novel mm laser imag technolog pavement safeti measur tradit pavement safeti perform term textur friction hydroplan speed measur separ via differ devic various limit studi explor feasibl use novel mm safeti sensor pavement safeti evalu non contact continu manner singl hardwar sensor mm imag collect pavement safeti measur asphalt concret ac portland cement concret pcc field site various textur characterist result indic safeti sensor abl measur pavement textur data tradit devic better repeat moreov pavement friction number estim use mm data via propos textur paramet good accuraci use artifici neural network especi asphalt pavement last case studi pavement hydroplan speed predict perform use safeti sensor result demonstr potenti use ultra high resolut imag measur pavement safeti includ textur friction hydroplan non contact continu accur manner
|
D021621;D006838
|
T062;T060;T073;T109
|
36,298,388
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dynam multi mobil agent itinerari plan approach wireless sensor network via intuitionist fuzzi set recent research develop applic mobil agent mas attract extens research wireless sensor network wsns due uniqu benefit offer energi conserv network bandwidth save flexibl open usag various wsn applic major propos research idea dynam itinerari plan agent base algorithm effici deal node failur result energi deplet howev generat ineffici group mas itinerari introduc delay broadcast data return back sink node consid expand size mas move toward sequenc relat node order rectifi research issu propos new graph base dynam multi mobil agent itinerari plan approach gdmip gdmip work direct acycl graph dag techniqu distribut sensor node various effici group base shortest identifi rout cover node network use intuitionist fuzzi set mas restrict move predefin path rout respons collect data assign group experiment result propos work show effect expedi compar publish approach therefor propos algorithm energi effici effect task delay time
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D003195;D059015
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T170;T073;T057
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36,298,387
|
reorgan brain function network task switch mental fatigu mental fatigu wide studi topic account serious negat effect neural mechan task switch mental fatigu remain question end studi aim use brain function network featur explor answer question specif task state eeg signal record particip task includ back task bt follow mental arithmet task mat bt network featur function connect extract analyz base select task switch state refer pre bt premat mental fatigu postmat post bt mental fatigu result show mental fatigu success induc long term mat base signific chang network characterist high classif accuraci obtain support vector machin svm pre bt post bt task switch pre bt premat delta beta rhythm exhibit signific chang among network featur select function connect show enhanc trend task switch postmat post bt network featur select function connect beta rhythm opposit trend task switch mental fatigu find provid new insight understand neural mechan brain process task switch indic network featur function connect beta rhythm use neural marker task switch mental fatigu
|
D004569;D005222
|
T060;T034;T041
|
36,298,386
|
low cost laser acoust pvc identif system base simpl neural network desktop laser cutter afford flexibl rapid prototyp tool materi safe process among polyvinyl chlorid pvc user usual distinguish unproblemat plastic therefor identif system pvc applic low cost laser cutter develop first time approach make use laser ablat sound generat low power laser diod use capacitor microphon preprocess algorithm simpl neural network black pvc could detect absolut reliabl ideal condit ambient nois accuraci drop differ color materi influenc accuraci detect pvc suscept method color chang found materi ablat characterist differ materi record use fast frame camera get better insight mechan behind investig process although still potenti improv present method found promis enhanc safeti futur desktop laser cutter
|
D011143;D010969
|
T122;T167;T109
|
36,298,384
|
applic shear wave elastographi assess myotendin stiff lower limb increment isometr strength test aim studi describ applic shear wave elastographi assess muscular tendin stiff lower limb increment isometr strength test differenti stiff evolut superfici deep muscl region domin rectus femori patellar tendon physic activ peopl year cm kg measur differ isometr strength condit relax muscl maxim voluntari contract mvc percentag success gt muscl contract intens rectus femori muscl relax condit patellar tendon rectus femori stiff signific increas compar relax condit mvc p superfici muscl region mvc p deep muscl region deep muscl region show higher stiff valu superfici muscl region mvc vs kpa p mvc vs kpa p mcv vs kpa p mvc vs kpa p rectus femori stiff increas increment isometr contract test inter region differ found mvc
|
D054459
|
T060
|
36,298,383
|
deep learn approach organ pollut classif use voltammetri paper propos deep lean techniqu accur detect reliabl classif organ pollut water pollut detect mean cyclic voltammetri character made use low cost dispos screen print electrod paper demonstr possibl strong improv detect platform modifi nanomateri classif address use deep learn approach convolut neural network end result voltammetri analysi transform equival rgb imag mean gramian angular field transform propos techniqu appli detect classif hydroquinon benzoquinon particular challeng sinc two pollut similar electroact thus voltammetri curv exhibit overlap peak modif electrod carbon nanotub improv sensit factor wherea convolut neural network gramian transform correct classifi experi
|
D037742;D000077321;D004785
|
T104;T131;T073;T066
|
36,298,382
|
automat user prefer select smart hear aid use bioaid noisi environ chang variat volum speech non face face convers impair user experi hear aid general hear aid amplifi sound hear impair person listen convers activ engag daili activ present sophist hear aid algorithm avail oper numer frequenc band amplifi also provid tune nois filter minim background distract one bioaid assist hear system open sourc freeli avail download app twenti four tune set critic devic person suffer hear loss must manual alter settingstun hear devic surround scene chang order attain comfort level hear howev manual switch among multipl tune set inconveni cumbersom sinc user forc switch state best match scene everi time auditori environ chang goal studi elimin manual switch autom bioaid scene classif algorithm system automat identifi user select prefer base adequ train aim acoust scene classif recogn audio signatur one predefin scene class best repres environ record bioaid open sourc biolog inspir hear aid algorithm use convers python propos method consist two main part classif auditori scene select hear aid tune set base user experi dcase dataset util scene classif among mani classifi train test random forest highest accuraci second part clean speech audio lj speech dataset combin scene user ask listen result audio adjust preset subset csv file store select preset subset user hear clear scene various classifi train dataset user prefer train clean speech audio convolv scene fed input scene classifi predict scene predict scene fed input preset classifi predict user choic preset subset bioaid automat tune predict select accuraci random forest predict preset subset propos approach great potenti elimin tedious manual switch hear assist devic paramet allow hear impair individu activ particip daili life automat adjust hear aid set base acoust scene
|
D006310;D013067;D034381
|
T033;T047;T074;T041
|
36,298,381
|
studi millimet wave sar imag non destruct test rebar reinforc concret studi investig millimet wave mmwave synthet apertur radar sar imag scheme util low cost frequenc modul continu wave fmcw radar take part non destruct test could use tool civilian militari demand fmcw radar work frequenc rang ghz ghz equip move platform aim reconstruct imag shape target object due lab environ contain sever devic furnitur various nois interfer signal floor avoid therefor digit signal process algorithm join remov undesir signal well improv target recognit studi adopt rang migrat algorithm rmas process reflect signal data form imag target verifi abil type mission hand integr compress sens cs algorithm sar imag system also research help improv perform system reduc measur durat still maintain imag qualiti three minim algorithm use involv imag system cs solver reconstruct radar data process rma form imag propos imag scheme demonstr good abil high azimuth resolut mission detect tini crack rebar reinforc concret addit particip cs algorithm improv perform scheme crack rebar locat imag reconstruct dataset comparison cs solver show admm outperform candid reconstruct task
|
D011825;D000465
|
T170;T073
|
36,298,380
|
enter nutrit hydrat patient acut stroke efficaci automat pump system water administr flush pilot studi enter nutrit often prescrib acut stroke meet energi fluid need patient dysphagia tube clog repres common complic enter formula deliveri requir substitut influenc nutrit administr frequent water flush recommend one effect procedur prevent tube occlus might time demand consist perform healthcar staff studi aim assess efficaci automat flush pump compar manual flush system prevent tube occlus acut stroke patient might affect nutrit hydrat
|
D020521;D003680
|
T047
|
36,298,379
|
mode split equilibrium microsimul approach earli stage demand share autom mobil initi hype around autom vehicl av technolog subsid realiz near term deploy av technolog form low speed share autom shuttl geofenc district high densiti trip demand concept label autom mobil district amd coin defin deploy model simul toolkit act decis support tool earli stage amd deploy desir answer question seri given condit amount travel demand autom shuttl fleet configur expect mode split share autom vehicl sav servic ii mode share sav level servic network perform anticip answer research question innov integr framework multi mode choic microscop traffic simul model present obtain equilibrium mode split various mode amd base real time traffic simul data propos framework test use travel demand road network data greenvill south carolina consid car walk two sav demand rideshar mode propos amd result studi demonstr efficaci propos framework solv mode split equilibrium amd addit sensit analys conduct understand impact factor wait time fleet resourc mode share equilibrium sav
|
D001334
|
T056
|
36,298,378
|
cpack intellig cyber physic access control kit protect network access control list acl critic protect network cyber physic system tradit firewal most use reactiv method enforc acl new acl updat take effect immedi paper base previous work propos cpack intellig cyber physic access control kit use smart algorithm upgrad acl list cpack adopt proactiv way enforc acl react new acl updat network view updat real time implement cpack floodlight ono control conduct larg number experi compar cpack floodlight firewal applic experiment result show cpack better perform exist floodlight firewal applic cpack also integr new version floodlight ono control
|
D003195;D000465
|
T170;T073;T057
|
36,298,375
|
deep learn framework accur vehicl yaw angl estim monocular camera base part arrang accur object pose essenti assess state predict movement recent year scholar often predict object pose match imag virtual model regress six degre freedom pose target direct pixel data via deep learn method howev approach may ignor fact propos earli day comput vision research ie object part strong repres object pose studi propos novel lightweight deep learn framework yaen yaw angl estim network accur object yaw angl predict monocular camera base arrang part yaen use encod decod structur vehicl yaw angl predict vehicl part arrang inform extract part encod network yaw angl extract vehicl part arrang inform yaw angl decod network vehicl part inform refin encod decod network structur lightweight yaen model low hardwar requir reach detect speed fps amp nbsp graphic card improv perform model use asymmetr convolut sse sum squar error loss function ad sign verifi effect model construct accur yaw angl dataset real world condit two vehicl equip high precis posit devic experiment result prove method achiev satisfactori predict perform scenario vehicl obscur averag predict error less accuraci predict error less real drive scenario
|
D000077321;D001334
|
T056;T066
|
36,298,374
|
enhanc ultrason transduc bandwidth acoust imped gradient match layer high perform broadband ultrasound transduc provid superior imag qualiti biomed ultrasound imag howev match design perfect transmit acoust energi activ piezoelectr element target medium oper spectrum still lack work anisotrop gradient acoust imped composit materi match layer ultrason transduc design fabric non uniform materi continu declin acoust imped along direct ultrason propag sub wavelength rang materi provid broadband window ultrason propag wide frequenc rang achiev almost perfect sound energi transfer effici piezoelectr materi target medium nano tungsten particl epoxi resin select fill basic materi respect along direct ultrason propag proport tungsten powder care control decreas gradual follow natur exponenti form narrow thick rang use new materi match layer high perform singl crystal db bandwidth pmn pt ultrason transduc could reach insert loss db transduc achiev tempor signal close singl wavelength thus potenti dramat improv resolut imag qualiti biomed ultrasound imag system
|
D014465;D004853
|
T122;T070
|
36,298,373
|
homomorph asymmetr encrypt appli analysi iot communic paper describ use homomorph encrypt techniqu order ensur data transmit confidenti way also use encrypt data provid manag statist allow detect incorrect function sensor node group sensor due either malici data inject data transmiss simpli sensor damag miscalibr faulti sensor function obtain statist valu need decrypt process sped develop real time oper data way ensur privaci remov need maintain share key infrastructur sensor node manag node part blockchain infrastructur work focus oper sensor node provid data later treat part busi logic agribusi sector exampl henc import fast check mechan term data qualiti result obtain convent configur sensor node encourag use techniqu aforement infrastructur
|
D016494;D018907
|
T078;T080;T033;T170;T097;T089;T057
|
36,298,371
|
enhanc modbustcp secur protocol authent author function support zero trust concept adopt inform technolog deploy human user remain main risk oper technolog ot deploy articl propos enhanc new modbustcp secur protocol authent author function guarante secur intent unauthor access aim compli principl never trust person access network carri secur check two function test use order build access control method base usernam password human user knowledg industri autom control system iac use simpl mean low motiv resourc man middl mitm compon ad order intermedi client server communic valid function propos scenario implement use node red program platform test implement function access control method node red softwar proven potenti applic
|
D016494;D017216
|
T078;T080;T170;T097;T058;T057
|
36,298,369
|
multi sensor imag fusion method defect detect powder bed fusion multi sensor defect detect technolog research hotspot monitor powder bed fusion pbf process qualiti captur defect imag detect capabl vital issu thus studi util visibl inform well infrar imag detect defect pbf part convent optic inspect technolog easili detect multi sourc imag acquisit system design simultan acquir bright intens infrar intens multi sensor imag fusion method base finit discret shearlet transform fdst multi scale sequenti toggl oper mssto improv puls coupl neural network pcnn framework propos fuse inform visibl infrar spectra detect defect challeng condit imag fusion perform propos method evalu differ indic compar fusion algorithm experiment result show propos method achiev satisfactori perform term averag inform entropi averag gradient spatial frequenc standard deviat peak signal nois ratio structur similar respect furthermor comparison experi indic propos method effect improv imag contrast rich enhanc display imag edg contour textur inform also retain fuse main inform sourc imag research provid potenti solut defect inform fusion character analysi multi sensor detect system pbf process
|
D007091;D000465
|
T170;T066
|
36,298,368
|
toward interpret camera lidar data fusion autonom ground vehicl localis recent deep learn framework draw strong research interest applic ego motion estim demonstr superior result compar geometr approach howev due lack multimod dataset studi primarili focus singl sensor base estim overcom challeng collect uniqu multimod dataset name lboroav use multipl sensor includ camera light detect rang lidar ultrasound e compass rotari encod also propos end end deep learn architectur fusion rgb imag lidar laser scan data odometri applic propos method contain convolut encod compress represent recurr neural network besid featur extract outlier reject convolut encod produc compress represent use visualis network learn process pass use sequenti inform recurr neural network use compress sequenti data learn relationship consecut time step use loughborough autonom vehicl lboroav karlsruh institut technolog toyota institut kitti visual odometri vo dataset experi evalu result addit visualis network learn process approach provid superior result compar similar method code propos architectur releas github access public
|
D016571
|
T170
|
36,298,367
|
systemat review time seri classif techniqu use biomed applic background digit clinic measur collect via various digit sens technolog smartphon smartwatch wearabl ingest implant sensor increas use individu clinician captur health outcom behavior physiolog characterist individu time seri classif tsc common use model digit clinic measur deep learn model tsc common power exist fundament challeng review present non deep learn model common use time seri classif biomed applic achiev high perform object perform systemat review character techniqu use time seri classif digit clinic measur throughout stage data process model build method conduct literatur search pubm well institut electr electron engin ieee web scienc scopus databas use rang search term retriev peer review articl report academ research digit clinic measur five year period june june identifi categor research studi base type classif algorithm sensor input type result found paper total four differ databas pubm ieee web scienc databas scopus remov duplic irrelev paper articl remain detail review data extract among engin featur use time seri method subsequ fed wide use machin learn classifi common use techniqu also frequent achiev best perform metric articl statist model articl algorithm second common also second best classif techniqu conclus review paper summari time seri classif model interpret method biomed applic summar categor high time seri classif perform achiev digit clinic physiolog biomed measur standard benchmark dataset model method report methodolog exist singl wide use method time seri model develop featur interpret howev mani differ method proven success
|
D000465;D000069550
|
T170;T066
|
36,298,366
|
mem base micro sensor measur tini forc act insect small insect perform agil locomot run jump fli recent mani robot inspir insect perform develop expect smaller maneuver convent robot develop insect inspir robot understand mechan dynam target insect import howev evalu dynam via convent commerci forc sensor difficult exert forc insect tini strength size review forc sensor devic especi fabric measur tini forc act insect locomot forc sensor micro forc plate measur ground reaction forc micro forc probe measur fli forc main develop addit mani sensor fabric via microelectromechan system mem process due process precis high sensit review focus sens principl design guid fabric process measur method sensor well technic challeng method final common process flow develop special mem sensor briefli discuss
|
D055617
|
T068;T170
|
36,298,365
|
automat recognit giant panda attribut vocal base squeez excit network giant panda ailuropoda melanoleuca long attract attent conservationist flagship umbrella speci collect attribut inform age structur sex ratio wild giant panda popul support understand status design effect conserv scheme view shortcom tradit method automat recogn age sex giant panda design senet squeez excit network base model automat recogn attribut giant panda vocal focus recognit age group juvenil adult sex giant panda reason use vocal among mode anim communic sound advantag long transmiss distanc strong penetr power rich inform collect dataset call captiv giant panda individu total durat record use mfcc mel frequenc cepstral coeffici acoust featur input senet consid small dataset conduc converg train process increas size train data via specaug addit use focal loss reduc impact data imbal result show f score method recogn age group sex reach respect demonstr automat recognit giant panda attribut base vocal feasibl effect conveni quick timesav laborsav attribut recognit method use investig wild giant panda futur
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D001503
|
T015
|
36,298,364
|
new compact tripl band triangular patch antenna rf energi harvest applic iot devic work propos new compact tripl band triangular patch antenna rf energi harvest applic iot devic realiz teflon glass substrat thick mm relat permitt four version antenna design realiz inclin studi impact tilt characterist paramet radiat pattern gain explor possibl implement architectur electron equip accord avail space antenna also realiz waterproof paper thick mm relat permitt biomed domain antenna vertic antenna tilt antenna antenna realiz waterproof paper size mm cover ghz ghz wi fi band ghz band good agreement obtain measur simul result radiat pattern show antenna omnidirect ghz pseudo omnidirect ghz ghz maximum measur gain dbi dbi dbi respect maximum measur radiat effici three antenna configur respect specif absorpt rate sar antenna bound human bodi wkg wkg wkg respect three frequenc ghz ghz ghz antenna appli realiz rf energi harvest system system design realiz test frequenc ghz dbm input power k resist load maximum measur output dc power w maximum rf dc convers effici
|
D059015;D011138
|
T122;T073;T109
|
36,298,363
|
soil nitrogen content detect base near infrar spectroscopi tradit soil nitrogen detect method characterist time consum environment pollut effect urgent need rapid easi oper non pollut soil nitrogen detect technolog order quick measur nitrogen content soil new method detect nitrogen content soil present use near infrar spectrum techniqu random forest regress rf first experi took soil xunsi river area hubei univers technolog research object total soil sampl collect second nir spectral data soil sampl acquir chemic physic method use determin content nitrogen soil third raw spectral data soil sampl denois preprocess final forecast model soil nitrogen content develop use measur valu compon model algorithm model optim adjust chang model paramet gini coeffici gini model compar back propag bp support vector machin svm model result show rf model model set predict r c rmsec test set r p rmsep detect soil nitrogen content realiz use near infrar spectrum techniqu random forest algorithm predict accuraci better bp svm model use gini optim rf model data spectral inform soil nitrogen content extract data redund reduc effect
|
D012987;D019265
|
T059;T167
|
36,298,362
|
design tri band wearabl antenna millimet wave g applic print monopol antenna millimet wave applic g frequenc region describ research result propos antenna reson three frequenc band design g communic system includ ghz ghz ghz v band sake compact coplanar waveguid cpw method use overal size propos tri band antenna mm mm mm use watch strap human tissu skin propos antenna give steadi result ghz ghz ghz antenna gain found db db db respect overal simul radiat effici found watch strap wearabl devic great fit propos tri band antenna antenna prototyp built test order verifi perform observ simul measur result close contact accord compar research propos antenna good choic smart g devic small size simpl structur well high gain radiat effici
|
D059015;D000076251
|
T073
|
36,298,361
|
long rang biomimet covert communic method mimick larg whale short rang biomimet covert communic develop use dolphin whistl underwat acoust covert communic due channel characterist differ rang convent short rang method direct appli long rang communic enabl long rang biomimick communic overcom larg multipath delay high degre mimic dom low frequenc band requir paper propos novel biomimet communic method preserv low bit error rate ber larg dom low frequenc band transmiss propos method util time depend frequenc chang whistl receiv obtain addit snr gain multipath delay comput simul practic ocean experi execut demonstr ber perform propos method better convent method dom assess novel machin learn base method util result show whistl generat propos method recogn actual whistl right humpback whale
|
D014907;D004289
|
T015
|
36,298,359
|
super resolv methodolog noisi unpair dataset although possibl acquir high resolut low resolut pair dataset use direct supervis learn impract real world applic present work focus practic methodolog imag acquisit real world condit main method nois reduct involv averag multipl noisi input imag singl imag reduc nois also consid unpair dataset contain misalign high resolut low resolut imag result show imag use averag denois better perform achiev super resolut task quantit fix nois level varianc propos method use imag averag denois show better perform use imag averag denois show higher perform peak signal nois ratio structur similar index map metric well better perform learn perceptu imag patch similar natur imag qualiti evalu metric respect
|
D007091
|
T066
|
36,298,358
|
comparison usabl appl processor various machin learn task paper author compar current avail appl macbook pro laptop term usabl basic machin learn research applic text base vision base tabular paper present four testsbenchmark compar four appl macbook pro laptop version intel base three appl base pro max script swift program languag prepar whose goal conduct train evalu process four machin learn ml model use creat ml framework appl solut dedic ml model creation maco devic train evalu process perform three time run script perform measur perform includ time result result compar tabl allow compar discuss perform individu devic benefit specif hardwar architectur
|
D027845
|
T168;T002
|
36,298,357
|
power spectrum acceler angular veloc signal indic muscl fatigu upper limb low load repetit task muscl fatigu risk factor develop musculoskelet disord low load repetit task object studi assess effect muscl fatigu power spectrum chang upper limb trunk acceler angular veloc repetit point task rpt work task twenti four particip equip inerti measur unit includ acceler gyroscop sensor perform tea bag fill work task immedi fatigu rpt rpt power spectrum acceler angular veloc increas movement hz frequenc band sensor posit head sternum pelvi altern sensor posit hand power spectrum acceler angular veloc decreas movement frequenc band work task follow perform fatigu rpt power spectrum acceler angular veloc increas movement frequenc band sensor posit head sternum pelvi arm interest rpt work task cohen effect size systemat larger result extract angular veloc acceler although fatigu relat chang task specif rpt work task fatigu systemat increas power spectrum movement frequenc band head sternum pelvi highlight relev indic assess fatigu angular veloc may effici assess fatigu acceler use low cost wearabl uncalibr sensor acceler gyroscop industri set promis assess muscl fatigu worker assign upper limb repetit task
|
D018763;D000054
|
T033;T067
|
36,298,356
|
improv wearabl devic dietari assess use new camera system unhealthi diet strong link obes numer chronic diseas current two third american adult overweight obes although dietari assess help peopl improv nutrit lifestyl tradit method dietari assess depend self report inaccur often bias recent year electron inform artifici intellig ai technolog advanc rapid imag base object dietari assess use wearabl electron devic becom power approach howev research field focus develop advanc algorithm process imag data report exist studi devic hardwar particular purpos dietari assess work demonstr current hardwar design consider risk miss import dietari data owe common use rectangular imag screen fix camera orient present two design new camera system reduc data loss generat circular imag use rectangular imag sensor chip also present mechan design allow camera orient adjust adapt differ among devic wearer gender bodi height final discuss pros con rectangular versus circular imag respect inform preserv data process use ai algorithm
|
D015596;D000076251
|
T060;T081;T170;T073
|
36,298,355
|
extend generic higher order element mem model state depend resistor capacitor inductor common part mani smart engin solut eg mem micro electro mechan system sensor actuat micronanomachin biomimet system memori element today model generic extend memristor mr memcapacitor mc meminductor ml general version classic mr mc ml infinit set fundament element electr engin known higher order element hoe turn model mani complex phenomena mem construct classic state depend element r l c hoe general behavior also use thus paper generic extend version hoe introduc overcom exist limit mr mc ml element relev circuit theorem formul general well known theorem classic memori element applic model complex process various physic natur mem shown
|
D055617
|
T068;T170
|
36,298,354
|
plane behavior masonri prism retrofit shape memori alloy stripe numer parametr analysi paper provid novel finit element fe simul estim plane respons masonri prism retrofit shape memori alloy sma stripe empir data util develop comput analysi paramet mechan paramet brick mortar sma materi well calibr comput fe base model purpos complet micro model approach appli assum perfect contact mortar joint brick unit concret damag plastic cdp model develop defin constitut relat brick mortar sma stripe mortar instal surfac prism perfect connect masonri prism verifi comput model util generat parametr research explor effect vari sma stripe thick differ sma usag ni ti cu zn al fe studi find indic independ materi type thick use sma stripe great minim brick prism deterior sma stripe great decreas residu displac plastic strain parametr test howev reveal employ ni ti sma increas thick effect respect masonri prism plane respons cu zn al sma
|
D000497;D000080743
|
T197;T073
|
36,298,353
|
reinforc learn aid edg intellig framework delay sensit industri applic advanc next generat communic technolog call tactil internet get attent due smart applic haptic enabl teleoper system stringent requir delay jitter packet loss delay sensit loss intoler applic make challeng ensur qualiti servic qos qualiti experi qoe regard differ haptic codec control scheme propos qos qoe provis tactil internet howev maxim qoe degrad system stabil vari delay high packet rate paper present reinforc learn base intellig tactil edg ite framework ensur transpar stabil teleoper system high packet rate variabl time delay communic network propos ite first estim network challeng includ communic delay jitter packet loss util q learn algorithm select optim haptic codec scheme reduc network load propos framework aim explor optim relationship qos qoe paramet make tradeoff stabil transpar teleoper simul result indic propos strategi choos optim scheme differ network impair correspond congest level communic network improv qos maxim qoe end end perform throughput mbps averag rtt ms haptic communic achiev learn rate discount factor valu respect result indic communic system success achiev qos qoe requir employ propos ite framework
|
D003195;D000465
|
T170;T073;T057
|
36,298,352
|
appli artifici intellig wearabl sensor data diagnos predict cardiovascular diseas review cardiovascular diseas cvd world lead caus mortal signific interest use artifici intellig ai analys data novel sensor wearabl provid earlier accur predict diagnosi heart diseas digit health technolog fuse ai sens devic may help diseas prevent reduc substanti morbid mortal caus cvd worldwid review identifi describ recent develop applic digit health cvd focus ai approach cvd detect diagnosi predict ai model driven data collect wearabl summaris literatur use wearabl ai cardiovascular diseas diagnosi follow detail descript domin ai approach appli model predict use data acquir sensor wearabl discuss ai algorithm model clinic applic find ai machin learn base approach superior tradit convent statist method predict cardiovascular event howev studi evalu applic algorithm real world need addit improv wearabl devic data accuraci better manag applic requir last discuss challeng introduct technolog routin healthcar may face
|
D002318;D000076251
|
T047;T073
|
36,298,351
|
detect reconnaiss discoveri tactic mitr att ck framework zeek conn log use spark machin learn big data framework comput network massiv amount communic take place network grow amount damag done network intrus grow tandem need effect scalabl intrus detect system id address potenti damag come growth network great deal contemporari research near real time id focus appli machin learn classifi label network intrus dataset dataset need relev pertain currenc network intrus paper focus newli creat dataset uwf zeekdata analyz data zeek connect log collect use secur onion network secur monitor label use mitr att ck framework ttps due volum data spark big data framework use run mani well known classifi nave bay random forest decis tree support vector classifi gradient boost tree logist regress classifi reconnaiss discoveri tactic dataset addit look perform classifi use spark scalabl respons time also analyz
|
D000077558;D000069550
|
T170;T066
|
36,298,350
|
comparison high speed polar imag method biolog tissu appli polar filter array high speed camera imag biolog tissu larg dynam deform frame per second result compar previous measur similar specimen use rotat polar imag system polar filter elimin motion blur tempor bias reconstruct collagen fiber align angl retard imag polar imag configur dose pose addit challeng due need calibr polar filter array given sampl light condit measur
|
D008029;D012867
|
T068;T022
|
36,298,349
|
soil moistur organ carbon nitrogen content predict hyperspectr data use regress model soil moistur soil organ carbon nitrogen content predict consid signific field studi direct relat plant health food product direct estim soil properti tradit method exampl oven dri techniqu chemic analysi time resourc consum approach predict smaller area signific develop remot sens hyperspectr hs imag technolog soil moistur carbon nitrogen estim vast area paper present general approach predict three differ essenti soil content use comprehens studi various machin learn ml model consid dimension reduct featur space studi use three popular benchmark hs dataset captur germani sweden efficaci differ ml algorithm evalu predict soil content signific improv obtain specif rang band select perform ml model improv appli princip compon analysi pca dimension reduct method work unsupervis learn method effect soil temperatur soil moistur predict evalu studi result show soil temperatur consid hs band soil moistur predict accuraci improv howev combin effect band select featur transform use pca signific enhanc predict accuraci soil moistur carbon nitrogen content studi repres comprehens analysi wide rang establish ml regress model use data preprocess effect band select data dimens reduct attempt understand featur combin provid best accuraci outcom sever ml model verifi valid techniqu best worst case scenario term soil content note propos approach outperform exist estim techniqu
|
D012987;D009584
|
T123;T196;T167
|
36,298,347
|
model match perform elit volleybal player import jump load strength train characterist studi investig relationship train load perceiv well match perform profession volleybal appli machin learn techniqu xgboost random forest regress subgroup discoveri physic load data obtain manual log physic activ use wearabl sensor daili well player monitor use questionnair match perform deriv annot action video scout match identifi condit predictor variabl relat attack pass perform p lt better attack perform relat heavi weight lower bodi strength train exercis preced four week howev wors attack perform link larg variat weight full bodi strength train exercis excess heavi upper bodi strength train low jump height small variat number high jump four week prior competit lower pass perform associ small variat number high jump preced week excess amount high jump perform averag two week prior competit differ find respect pass attack perform suggest elit volleybal player improv perform train schedul adapt posit player
|
D054798;D055070;D054874
|
T061;T055;T056
|
36,298,346
|
valid ultra short term hrv analysi use ppg preliminari studi continu measur heart rate variabl hrv short ultra short term use wearabl devic allow monitor physiolog status prevent diseas studi aim evalu agreement hrv featur commerci devic bora band biosenc measur photoplethysmographi ppg refer electrocardiographi ecg assess valid ultra short term hrv surrog short term hrv featur ppg ecg record acquir healthi subject night total hrv featur includ time domain frequenc domain nonlinear visibl graph featur extract min min durat ppg record extract featur compar refer featur min durat ecg record use repeat measur correl bland altman plot limit agreement cliff delta equival test result show agreement ppg record ecg refer record hrv featur short term durat sixteen forti eight hrv featur valid retain strong correl neglig small bias statist equival ultra short record min current studi conclud bora band provid valid reliabl measur hrv featur short ultra short durat record
|
D017156;D000076251
|
T060;T073
|
36,298,345
|
convolut long short term memori network multi head attent mechan traffic flow predict accur predict model traffic flow critic import allow transport user make wise decis circumv traffic congest region advanc develop sens technolog make big data afford access mean data driven method increas adopt traffic flow predict although numer data driven method introduc traffic flow predict exist data driven method consid correl extract high dimension featur use relev part traffic flow data make predict address issu work propos decod convolut lstm network convolut oper use consid correl high dimension featur lstm network use consid tempor correl traffic flow data moreov multi head attent mechan introduc use relev portion traffic data make predict predict perform improv traffic flow dataset collect caltran perform measur system pem databas use demonstr effect propos method
|
D008570;D014186
|
T056;T169;T041
|
36,298,343
|
object assess upper extrem motor function spinocerebellar ataxia use wearabl sensor studi present novel approach object assess upper extrem motor symptom spinocerebellar ataxia sca use data collect via wearabl sensor worn patient wrist upper extrem task associ assess rate ataxia sara first develop algorithm detectingextract cycl finger nose test fnt extract multipl featur detect cycl identifi featur paramet correl sara score addit develop model predict sever symptom base fnt propos techniqu valid dataset compris seventeen n particip assess cycl detect techniqu show accuraci bland altman analysi accuraci f score predict sever fnt furthermor depend upper extrem test investig statist analysi result confirm depend potenti redund upper extrem sara assess find pave way enhanc util object measur sca assess propos wearabl base platform potenti elimin subject inter rater variabl assess ataxia
|
D020754;D002524;D000076251
|
T033;T184;T047;T073
|
36,298,342
|
video base hand movement analysi parkinson patient medic use high frame rate video mediapip tremor one common symptom parkinson diseas pd thank recent evolut digit technolog monitor pd patient hand movement employ contactless method gain momentum object aim quantit assess hand movement patient suffer pd use artifici intellig ai base hand track technolog mediapip method high frame rate video acceleromet data record pd patient two show classic parkinsonian type tremor state minut take standard oral medic state video record obtain first investig frequenc amplitud relationship video acceleromet data focus quantifi effect take standard oral treatment result data extract video correl well acceleromet base measur system video base approach identifi tremor frequenc small error rate mean absolut error hz amplitud high correl frequenc amplitud hand movement medic pd patient undergo medic differ pd patient experienc decreas mean valu frequenc hz hz mean valu amplitud au au conclus work achiev automat estim movement frequenc includ tremor frequenc low error rate best knowledg first paper present autom tremor analysi beforeaft medic pd particular use high frame rate video data
|
D014202;D010300
|
T033;T184;T047
|
36,298,341
|
vehicl detect segment base efficientnetb centernet residu block paper present two stage solut vehicl detect segment first stage depend combin efficientnetb architectur multiparallel residu block inspir centernet architectur local pose estim vehicl scene second stage take output first stage input crop car imag train efficientnet b imag recognit task use predefin model substitut vehicl scene match use rotat matrix translat vector first stage get detect bound box segment mask train model open sourc dataset apollocard method outperform publish solut term degre freedom error dof err
|
D021621;D055191
|
T062;T060;T046;T073
|
36,298,340
|
state rotor continu quaternion fast sensor fusion algorithm use axi sensor advanc micro electro mechan system technolog led emerg compact attitud measur sensor product integr acceler magnetomet gyroscop sensor singl chip make import devic field three dimension attitud measur unman aerial vehicl smartphon devic sensor fusion algorithm postur measur becom indispens technolog cut edg research human postur measur use wearabl sensor stabil problem robot posit postur measur also develop wearabl sensor power suit previous research need technolog real time measur human bodi motion known quaternion use algebra handl rotat howev sensor fusion algorithm three sensor present complex algorithm deal post rotat attitud pure quaternion rather rotat inform rotor avoid doubl cover problem involv rotor deal rotat may possibl make algorithm simpler faster deal direct rotor studi solv doubl cover problem involv rotor propos state rotor develop techniqu uniqu determin time vari state rotor propos state rotor guarante continu rotor paramet respect angular chang paper confirm effect simul two rotat around arbitrari axi addit verifi experiment fast sensor fusion method use state rotor use attitud calcul experi also confirm calcul result converg desir rotat angl two spatial rotat around arbitrari axi sinc propos state rotor extend stabil definit rotor applic algorithm deal time vari quaternion rotor research algorithm base multipli add oper design reduc comput complex high speed calcul embed system method theoret equival method contribut power save cost reduct product
|
D000465;D055617
|
T068;T170
|
36,298,339
|
multipl sensor fault detect use index base method research sensor fault detect drawn much interest recent year abrupt incipi intermitt sensor fault caus complet blackout system left undetect research examin observ base residu analysi via index base approach fault detect multipl sensor healthi drive seven main indic includ move mean averag root mean squar energi varianc first order deriv second order deriv auto correl base index employ analyz sensor fault diagnosi addit auxiliari index comput differenti faulti sensor non faulti one index base method util analysi sensor fault detect oper rang various load vari speed fault sever level simul result perman magnet synchron motor pmsm provid demonstr pros con various index base method various fault detect scenario
|
D000465
|
T170
|
36,298,338
|
multi arm global cooper coal gangu sort method base improv hungarian algorithm exist multi manipul sort method gangu util multi task alloc strategi satisfactori singl manipul work space fix lower cooper degre manipul lead low sort rate therefor paper propos multi manipul cooper sort method work global first benefit function base sort time qualiti gangu construct combin gangu flow inform manipul state time paramet obtain via manipul dynam target track trajectori plan algorithm base pid control second benefit matrix standard updat mani time improv hungarian algorithm achiev task alloc initi solut prioriti obtain final solut analyz process cooper order prioriti conflict multipl robot arm elimin task cooper trajectori cooper sort task robot arm execut obtain alloc result experi involv differ sort method complet multi arm coal gangu sort experiment robot platform experiment result show sort effici propos method higher fix space dynam design space fix point method respect differ belt speed method guarante system benefit effect implement cooper control multi manipul oper whole area improv effici coal gangu sort
|
D003031;D000465
|
T121;T170;T167;T109
|
36,298,336
|
review fundament activ current extract techniqu sapf field advanc digit signal process method one fastest develop scientif technic disciplin import field shunt activ power filter control method shunt activ power filter high desir minim loss due increas number nonlinear load deform power current rapid develop new adapt non adapt especi hybrid method digit signal process nowaday modern method digit signal process maintain key role research industri applic mani best practic use control shunt activ power industri practic decad surpass favor new progress approach systemat research review classifi import use advanc signal process method field shunt activ power filter control method summar extant harmon extract method convent approach new progress method use genet algorithm artifici intellig machin learn synchron techniqu describ compar well
|
D001185;D000465
|
T090;T170;T073;T066
|
36,298,335
|
semg base hand postur recognit visual feedback train forearm ampute semg base gestur recognit use human comput interact especi technolog support rehabilit train control electr prosthes howev high variabl semg signal untrain user degrad perform gestur recognit algorithm studi hand postur recognit algorithm radar plot base visual feedback train develop use multichannel semg sensor ten healthi adult one bilater forearm ampute particip repeat twelv hand postur ten time visual feedback train perform two day five day healthi adult forearm ampute respect artifici neural network classifi train two type featur vector singl featur vector combin featur vector classif accuraci forearm ampute increas signific three day hand postur train result indic visual feedback train effici improv perform semg base hand postur recognit reduc variabl semg signal furthermor bilater forearm ampute abl particip rehabilit train use radar plot radar plot base visual feedback train would help ampute control various electr prosthes
|
D000674;D001186
|
T074;T101
|
36,298,334
|
analysi structur health monitor data correl measur error bayesian system identif theori applic measur error non neglig crucial shm data analysi mani applic shm measur error statist correl space andor time data sensor network exist work sole consid spatial correl measur error spatial tempor correl consid simultan exist work collaps possess suitabl form describ spatial tempor correl measur error order tackl burden paper general form correl measur error spatial correl tempor correl spatial tempor correl new form spatial tempor correl correspond likelihood function propos multipl candid model class measur error construct includ correl spatial correl tempor correl propos spatial tempor correl bayesian system identif conduct achiev posterior probabl densiti function pdf model paramet also posterior probabl candid model class select suitableplaus model class measur error exampl present applic model updat modal frequenc predict vari environment condit ensur necess consid correl measur error capabl propos bayesian system identif uncertainti quantif paramet model level
|
D001499
|
T081
|
36,298,333
|
internet thing base hardwar loop framework model predict control smart build ventil work hardwar loop hil framework introduc implement assess predict control approach smart build framework combin recent internet thing iot big data platform togeth machin learn algorithm matlab base model predict control mpc program order enabl hil simul case studi mpc algorithm deploy control standalon ventil system vs object maintain indoor carbon dioxid co concentr standard comfort rang enhanc energi effici build propos framework test deploy real case scenario eeblab test site mpc control implement matlabsimulink deploy raspberri pi rpi hardwar contextu data collect use deploy iotbig data platform inject mpc lstm machin learn model occup number first forecast sent mpc predict optim ventil flow rate perform mpc control hil framework assess compar onoff strategi result show use propos approach effect reduc energi consumpt approxim maintain good indoor air qualiti
|
D016902;D000080487
|
T170;T069;T080
|
36,298,332
|
multirobot system assist home environ support elder daili live increas isol elder home care home made problem care elder peopl live alon urgent prioriti articl present propos design heterogen multirobot system consist small mobil robot monitor well elder peopl live alon suggest activ keep posit activ ii domest mobil manipul robot help perform household task entir system integr autom home environ aal also includ set low cost autom sensor medic monitor bracelet android applic propos emot coach activ person live alon heterogen system use ros iot technolog node red home assist platform platform home autom system test long period time integr real test environ good result semant segment navig plan environ mobil manipul navig movement manipul area facilit task later planner result interact user applic present use artifici intellig predict mood discuss experi support conclus assist robot correct propos activ call relat exercis etc day accord user detect emot state make innov propos aim empow elder autonom home good qualiti life
|
D001185;D011788
|
T078;T090;T073;T066
|
36,298,328
|
classif detect covid chest relat diseas use transfer learn covid infect million peopl worldwid past year main techniqu use covid detect revers transcript expens sensit requir medic expertis x ray imag altern access techniqu studi aim improv detect accuraci creat comput aid diagnost tool combin artifici intellig applic techniqu radiolog imag help detect differ diseas studi propos techniqu automat detect covid chest relat diseas use digit chest x ray imag suspect patient appli transfer learn tl algorithm purpos two balanc dataset dataset dataset creat combin four public databas collect imag recent publish articl dataset consist chest x ray imag class dataset consist imag class train test model tl nine pretrain convolut neural network cnns use augment preprocess method network train classifi use five classifi two class classifi normal covid three class classifi normal covid viral pneumonia four class classifi normal viral pneumonia covid tuberculosi tb five class classifi normal bacteri pneumonia covid tb pneumothorax six class classifi normal bacteri pneumonia covid viral pneumonia tb pneumothorax two three four five six class model achiev maximum accuraci respect
|
D000086382;D011030;D000077321;D011024;D018410
|
T047;T066;T067
|
36,298,326
|
implement wsn environment monitor base station small sensor node paper implement wireless sensor network wsn environment monitor em present includ design implement experiment character multi sector base station bs antenna compos sever microstrip quasi yagi element implement experiment character reduc form factor antenna sensor node sn subsequ report implement wsn base lopi transceiv use develop bs sn antenna final experiment result obtain field evalu perform network term maximum coverag distanc coverag area present accord field test connect sensor node develop wsn base station confirm distanc km antenna sector multi sector bs attain field view
|
D004784
|
T057
|
36,298,324
|
camera motion agnost method estim human pose although perform human pose shape estim method improv consider recent year exist approach typic generat pose defin camera human center coordin system make difficult estim person pure pose motion world coordin system video captur use move camera address issu paper present camera motion agnost approach predict human pose mesh defin world coordin system core idea propos approach estim differ two adjac global pose ie global motion invari select coordin system instead global pose coupl camera motion end propos network base bidirect gate recurr unit grus predict global motion sequenc local pose sequenc consist relat rotat joint call global motion regressor gmr use dpw synthet dataset construct move camera environ evalu conduct extens experi prove effect propos method empir
|
D000465
|
T170
|
36,298,322
|
semi supervis defect detect method data expand strategi pcb qualiti inspect print circuit board pcb defect detect play crucial role pcb product popular method base deep learn requir larg scale dataset high level ground truth label time consum cost label dataset semi supervis learn ssl method reduc need label sampl leverag unlabel sampl address problem well howev pcb defect detect accuraci small number label sampl still need improv number label sampl small train process disturb unlabel sampl overcom problem paper propos semi supervis defect detect method data expand strategi de ssd propos de ssd use label unlabel sampl reduc cost data label batch ad strategi ba ssl introduc leverag unlabel data less disturb moreov data expand de strategi propos use label sampl dataset expand target dataset also prevent disturb unlabel sampl base improv propos de ssd achiev competit result pcb defect fewer label sampl experiment result deeppcb indic propos de ssd achiev state art perform improv map least compar previous method
|
D000069553
|
T066
|
36,298,320
|
classif normal cancer human urotheli cell use micro dimension electrochem imped spectroscopi combin machin learn although high incid recurr rate urotheli cancer bladder ucb heavi burden noninvas tool effect detect ucb altern void urin cytolog low sensit yet report herein propos intellig discrimin method normal sv huc cancer tccsup urotheli cell use combin micro dimension electrochem imped spectroscopi ei machin learn ml noninvas high accuraci ucb diagnost tool develop uniqu valv flow cytometri equip pneumat valv increas sensit without cell clog sinc contact cell electrod tight high volum fraction electr field effect confin cell enabl propos sensor high discrimin differ cell type frequenc khz mhz total imped spectra appli six ml model systemat comparison ml model carri hyperparamet estim conduct grid search bayesian optim among ml model random forest strong discrimin sv huc tccsup accuraci sensit precis specif f score
|
D058266;D001749
|
T191;T059
|
36,298,318
|
csv content servic offload system vehicular cach vehicular cach vc consid promis technolog provid low end end servic latenc reduc load network howev difficult vc provid servic continu opportunist avail accord mobil mitig problem introduc csv content servic offload system vc opportunist distribut load content server support servic continu csv content servic migrat fog node fn vc maintain ongo servic without servic disrupt opportunist distribut load content server support servic continu migrat assess perform csv develop analyt model vc offload effici extens simul result demonstr csv reduc load content server compar convent system
|
D003198
|
T066
|
36,298,317
|
applic emg sensor signal abil execut limb motion deriv composit command signal effer signal stem central nervous system highway spinal cord peripher nerv muscl drive joint
|
D013116;D009132
|
T023;T024
|
36,298,316
|
deep learn control environ agricultur review recent advanc challeng prospect control environ agricultur cea unconvent product system resourc effici use less space produc higher yield deep learn dl recent introduc cea differ applic includ crop monitor detect biotic abiot stress irrig microclim predict energi effici control crop growth predict howev review studi assess dl state art solv divers problem cea fill gap systemat review dl method appli cea review framework establish follow seri inclus exclus criteria extens screen review total studi extract use inform key contribut articl follow overview dl applic differ cea facil includ greenhous plant factori vertic farm present found major studi focus dl applic greenhous primari applic yield estim growth monitor also analyz common use dl model evalu paramet optim cea product analysi found convolut neural network cnn wide use dl model adapt moment estim adam wide use optim accuraci wide use evalu paramet interest studi focus dl microclim cea use rmse model evalu paramet end also discuss current challeng futur research direct domain
|
D000077321
|
T066
|
36,298,315
|
wrapper function integr mathemat model digit twin event process analog sensor often requir complex mathemat model data analysi digit twin dts provid platform display sensor data real time still lack generic solut regard mathemat model algorithm integr base previous test monitor predict banana fruit qualiti along cool chain demonstr system multipl model convert dt new approach provid set generic wrapper function larg simplifi model integr wrapper connect output model stream platform thus requir minor chang model softwar differ scenario model link structur consid includ simultan process multipl model sequenti process life cycl specif model predict model base data current previous life cycl wrapper function easili adapt host model microservic various applic field predict futur system behavior test scenario
|
D012984;D000465
|
T090;T170;T073
|
36,298,314
|
event base angular speed measur movement monitor comput vision techniqu monitor rotat speed rotat equip machin understand work condit prevent failur techniqu high precis contactless potenti suitabl applic without massiv setup chang howev tradit vision sensor collect signific amount data process measur rotat high speed system suscept motion blur work propos new method measur rotat speed process event base data appli high speed system use neuromorph sensor sensor produc event base data design work high tempor resolut high dynam rang main advantag event base angular speed measur eb asm method high dynam rang absenc motion blur possibl measur multipl rotat simultan singl devic propos method use time differ spike kernel window select sensor frame rang evalu two experiment scenario measur fan rotat speed router comput numer control cnc spindl result compar measur calibr digit photo tachomet base perform test eb asm measur rotat speed mean absolut error less scenario
|
D009068
|
T040
|
36,298,313
|
determin except context assembl oper multimod data robot assembl task fail due unpredict error continu manual intervent human oper recent propos except strategi learn framework base statist learn context determin success resolv situat paper deal context determin multimod data key compon framework propos novel approach generat unifi low dimension context descript base imag forc torqu data purpos combin state art neural network model imag segment contact point estim use forc torqu measur ensembl decis tree use combin featur two modal valid propos approach collect dataset deliber induc insert failur classic peg hole insert task industri relev task car starter assembl demonstr propos approach generat reliabl low dimension descriptor suitabl queri necessari statist learn
|
D016571;D007091
|
T170;T066
|
36,298,312
|
robust faster r cnn model featur enhanc rust detect transmiss line fit rust transmiss line fit major hidden risk transmiss safeti sinc fit locat high altitud inconveni detect maintain machin vision techniqu introduc realiz intellig rust detect help unman aerial vehicl uav due small size fit disturb complex environment background howev often case miss detect fals detect improv detect reliabl robust paper propos new robust faster r cnn model featur enhanc mechan rust detect transmiss line fit differ current method improv featur represent front end paper adopt idea back end featur enhanc first residu network resnet introduc backbon network extract rich discrimin inform uav imag second new featur enhanc mechan ad region interest roi pool layer calcul similar region propos other featur weight region propos contain target object enhanc via overlay object represent weight disturb term relat reduc empir evalu conduct real world uav monitor imag compar result demonstr effect propos model term detect precis recal rate averag precis rust detect indic propos method provid reliabl robust solut rust detect
|
D015203
|
T062;T081;T080
|
36,298,311
|
comput vision machin learn base gait pattern recognit flat fall predict gait recognit appli predict probabl elder flat ground fall function evalu rehabilit train patient lower extrem motor dysfunct gait distinguish seem similar kinemat pattern associ differ patholog entiti challeng clinician realiz automat identif judgment abnorm gait signific challeng clinic practic long term goal studi develop gait recognit comput vision system use artifici intellig ai machin learn ml comput studi aim find optim ml algorithm use comput vision techniqu measur variabl lower limb classifi gait pattern healthi peopl purpos studi determin feasibl comput vision machin learn ml comput discrimin differ gait pattern associ flat ground fall
|
D001185;D005684
|
T033;T090;T073;T066
|
36,298,310
|
cera esp code expand random access enhanc success probabl massiv mtc grow interest internet thing iot research massiv machin type communic mmtc servic activ promot mmtc servic requir serv larg number devic simultan lack resourc initi access signific problem provid mmtc servic cellular network various studi effici preambl transmiss conduct solv random access problem mmtc servic howev support larg number devic simultan limit resourc challeng problem studi investig code expand random access cera extend limit preambl resourc code domain decreas high collis rate solv exist cera phantom codeword physic uplink share channel pusch resourc shortag problem propos optim preambl codeword set select algorithm base mathemat analysi simul result indic propos code expand random access scheme enhanc success probabl cera esp achiev higher random access success rate lower access delay compar exist random access scheme
|
D000080487
|
T170
|
36,298,309
|
encourag detect preferenti incipi slip use slip prevent robot assist surgeri robot surgic platform help improv minim invas surgeri howev limit forc feedback forc control result undesir tissu trauma tissu slip event paper investig sens method earli detect slip event grasp soft tissu would allow surgic robot take mitig action prevent tissu slip maintain stabl grasp control minimis appli grip forc reduc probabl trauma develop sens concept utilis curv grasper face creat area high low normal thus friction forc area low normal forc higher probabl grasper face slip tissu grasper face separ seri independ movabl island track displac possibl identifi area low normal forc first start slip remaind tissu still held secur system evalu simul grasp retract tissu condit repres surgic practic use silicon tissu simul porcin liver sampl abl success detect slip gross slip occur success rate tissu simul porcin liver sampl respect research demonstr efficaci sens method associ sensor system detect occurr tissu slip event surgic grasp retract
|
D065287
|
T061
|
36,298,308
|
knowledg base remot e coach framework use iot devic home adl rehabilit treatment degen brain diseas patient activ daili live adl abil level elder patient import indic determin patient degre degen brain diseas main evalu face face interview doctor patient hospit imposs determin exact adl abil patient temporari interview pursuit accur adl abil evalu technolog import research task worldwid paper order overcom limit exist adl evalu method mention first self organ iot architectur iot devic autonom non invas measur patient adl abil within context patient daili live place design implement second remot rehabilit treatment concept enhanc patient adl abil call e coach framework doctor remot give instruct specif adl scenario patient abil understand perform instruct measur line real time addit develop top self organ iot architectur order verifi possibl remot rehabilit treatment propos architectur various remot direct adl scenario perform accuraci measur verifi
|
D000071252;D001927
|
T065;T047
|
36,298,307
|
real time detect classif power qualiti disturb paper consid problem real time detect classif power qualiti disturb power deliveri system propos sequenti multivari disturb detect method aim quick accur detect propos detector follow non parametr supervis approach ie learn nomin anomal pattern train data involv clean disturb signal multivari natur method enabl joint process data multipl meter facilit quicker detect result cooper analysi extend supervis sequenti detect method multi hypothesi set aim classifi disturb event quick accur possibl real time manner multi hypothesi method requir train dataset per hypothesi ie per disturb type well disturb case propos classif method demonstr quick accur detect classifi power disturb
|
D000465
|
T170
|
36,298,306
|
predict metal addit manufactur surfac rough use deep neural network recent year manufactur industri eg medic aerospac automobil chang manufactur process small quantiti batch product flexibl cope fluctuat demand therefor mani compani tri produc product introduc print technolog manufactur process print process base addit manufactur fabric complex shape reduc materi wast product time although mani advantag product qualiti poor compar convent manufactur system studi propos methodolog improv qualiti product base data analysi target qualiti surfac rough stack wall surfac rough one import qualiti indic caus short product life poor structur perform control surfac rough result surfac rough need predict advanc depend process paramet various analysi method data pre process deep neural network dnn combin sensor data use predict surfac rough propos methodolog propos methodolog appli field data oper wire arc addit manufactur waam analysi result show effect mean absolut percentag error mape
|
D066330;D008670
|
T197;T073
|
36,298,305
|
fuzzi ontolog base system driver behavior classif intellig transport system encompass seri technolog applic exchang inform improv road traffic avoid accid accord statist studi argu human mistak caus road accid worldwid reason essenti model driver behavior improv road safeti paper present fuzzi rule base system driver classif differ profil consid behavior system knowledg base includ ontolog set drive rule ontolog model main entiti relat driver behavior relationship traffic environ drive rule help infer system make decis differ situat accord traffic regul classif system integr intellig transport architectur consid user drive style drive assist system send recommend adjust speed choos altern rout allow prevent mitig negat transport event road crash traffic jam carri set experi order test express ontolog along effect overal classif system differ simul traffic situat result experi show ontolog express enough model knowledg propos traffic scenario f score addit system allow proper classif driver behavior f score outperform random forest naiv bay classifi simul experi observ driver recommend altern rout experi averag time gain show util propos
|
D000063;D001334
|
T056;T037;T067
|
36,298,304
|
multispectr benchmark dataset baselin forklift collis avoid paper multispectr pedestrian detect main discuss contribut assign human awar properti autom forklift prevent accid collis earli stage sinc multispectr pedestrian detect dataset intralogist domain collect dataset dataset employ method align imag pair differ domain ie rgb thermal without use cumbersom devic beam splitter rather exploit dispar rgb sensor camera geometri addit propos multispectr pedestrian detector call ssd detect pedestrian also estim distanc autom forklift worker extens experi perform detect centroid local valid respect evalu metric use drive car domain distinct categori hazard zone warn zone make applic intralogist domain
|
D000069636;D001334
|
T056;T098
|
36,298,303
|
three dimension reduc graphen oxid hybrid nano silver scaffold high antibacteri properti recent year hazard wastewat treatment complex global problem work consid antimicrobi activ ag nanoparticl agnp reduc graphen oxid rgo construct antibacteri devic g agnp agnp conform deposit onto scaffold reduc graphen oxid situ major limit difficult recycl two dimension graphen silver composit materi previous studi improv character techniqu sem tem xrd xps confirm synthesi nanocomposit attribut larger specif area activ site synergist enhanc g agnp devic demonstr best bacteri remov capac antibacteri rate e coli aureus high quit low agnp content report g agnp potenti applic wearabl sewag treatment devic protect wearabl sensor promis steril candid base high stabl antibacteri effici
|
D006108;D053768
|
T196;T073;T109
|
36,298,302
|
real time oil leakag detect aftermarket motorcycl damp system convolut neural network work describ detail deep learn comput vision help detect fault event airtend system aftermarket motorcycl damp system compon one effect way monitor airtend function look oil stain surfac start real time imag airtend first detect motorbik suspens system simul indoor binari classifi determin whether airtend spill oil detect made help yolo architectur wherea classif carri help suitabl design convolut neural network oilnet order detect oil leak clear dilut oil airtend fluoresc dye excit wavelength peak approxim nm airtend illumin suitabl uv led whole system attempt design low cost detect setup board devic mini comput place near suspens system connect full hd camera frame airtend board devic neural network algorithm abl local classifi airtend normal function non leak imag anomali leak imag
|
D009049;D005456
|
T130;T073
|
36,298,301
|
order preserv encrypt scheme base weight random interv divis ciphertext comparison wearabl system rapid develop wearabl devic various sensor massiv sens data health manag generat caus potenti revolut medic treatment diagnosi predict howev due privaci risk health data aggreg data compar analysi privaci protect face challeng order preserv encrypt effect scheme achiev privat data retriev comparison exist order preserv encrypt algorithm main aim either integ data singl charact urgent build lightweight order preserv encrypt scheme support multipl type data integ float number string view problem paper propos order preserv encrypt scheme wrid ope base weight random interv divis wrid wrid ope convert kind data hexadecim number string calcul frequenc weight hexadecim number plaintext digit string block recombin block encrypt use wrid algorithm accord weight hexadecim digit scheme realiz order preserv encrypt multipl type data achiev indistinguish order select plaintext attack ind ocpa secur static data set secur analysi experi show scheme resist attack use exhaust method statist method linear encrypt time small ciphertext expans rate
|
D016494;D000076251
|
T078;T073;T080;T170;T097;T057
|
36,298,300
|
optic gas cell dynam adsorpt photoacoust spectroscopi base sof f gas sensor f sof main compon decomposit insul gas sf photoacoust spectroscopi pas acknowledg accur sens techniqu polar materi adsorpt f sof photoacoust gas cell pas may affect detect effici paper optic gas cell dynam adsorpt four differ materi detect effect f sof theoret analyz experiment demonstr materi includ grade stainless steel sus grade aluminum alloy al polyvinyliden difluorid pvdc polytetrafluoroethylen ptfe appli insid optic gas cell result show compar metal sus al plastic pvdc ptfe would reduc gas adsorpt f sof shorten respons time gas exchang complet gas defus period experi maximum variat rise time differ adsorpt materi approxim f sof generat photoacoust magnitud ident paper explor materi select pas base gas sens practic applic
|
D000535;D013193
|
T121;T196;T122
|
36,298,298
|
cavvpm challeng base authent verif vehicl platoon motorway result vehicl platoon advantag includ decreas traffic congest improv fuel economi expect vehicl platoon move singl line close space constant speed vehicl vehicl communic sensor data help keep platoon format place cacc system respons maintain realiti vv transmiss essenti reduc platoon distanc still ensur safeti secur far difficult confirm verac vv messag content verifi integr sourc authent platoon member send receiv vv communic implement practic access control mechan goal link prospect platoon member digit identif actual locat insid unit physic challeng respons interact use cavvpm process verifi prospect platoon member respect rule applic ask perform seri random longitudin movement thus protocol name remot attack join platoon send bogus cacc communic cavvpm block cavvpm resist pre record assault previous work valid candid precis behind verifi lane compar previous studi
|
D018118
|
T123;T116
|
36,298,297
|
lbss lightweight blockchain base secur scheme iot enabl healthcar environ recent global healthcar made great progress use internet thing technolog howev excel patient care must high degre safeti iot health system massiv increas hack system theft sensit high confidenti inform larg health center hospit establish high secur reliabl healthcar system becom top prioriti paper secur scheme iot enabl healthcar environ lbss propos secur scheme compris three secur mechan first mechan base blockchain technolog use transact integr second mechan use store healthcar system data secur manner distribut data record among multipl server third mechan use access healthcar data appli propos author test minim secur overhead healthcar data priorit regard import therefor secur mechan specif step level data import final ns packag use construct simul environ iot enabl healthcar system measur propos secur scheme perform simul result prove propos healthcar secur scheme outperform tradit model regard perform metric
|
D000081186
|
T066
|
36,298,296
|
monitor subsid area use satellit radar imag deep transfer learn subsid especi popul area becom threat human life properti monitor analyz effect subsid larg area use situ measur difficult depend size subsid area locat also time consum cost far better solut use recent year differenti interferometri synthet apertur radar dinsar monitor allow monitor land deform larg area high accuraci good spatial tempor resolut howev analysi sar imag time consum involv expert easili overlook certain detail therefor essenti especi case earli warn system prepar tool capabl identifi monitor subsid interferogram articl present studi autom detect monitor subsid trough use deep transfer learn area studi upper silesian coal basin southern poland mark intens coal mine particular prone subsid various type addit result trough detect obtain use convolut neural network compar result obtain hough transform circlet transform
|
D011825;D003032
|
T090;T073
|
36,298,294
|
novel adapt deskew algorithm document imag document scan often suffer skew may serious influenc effici optic charact recognit ocr therefor necessari correct skew document document imag inform analysi articl propos novel adapt deskew algorithm document imag main includ skeleton line detect skld piecewis project profil ppp morpholog cluster mc imag classif method imag type determin first base imag layout featur thus adapt correct appli deskew imag accord type method maintain high accuraci document imag skew estim contest disec publaynet dataset achiev accuraci respect meanwhil extens experi show superior propos algorithm
|
D010363;D000465
|
T170;T041
|
36,298,293
|
effect multi object track via global object model object constraint learn effect multi object track still challeng due trade track accuraci speed recent multi object track mot method leverag object appear motion model associ detect consecut frame key effect multi object track reduc comput complex learn model end work propos global appear motion model discrimin multipl object instead learn local object specif model concret detail learn global appear model use contrast learn object appear addit learn global relat motion model use relat motion learn object moreov paper propos object constraint learn improv track effici studi consid discrimin model constraint learn model inconsist constraint occur therefor object constraint learn differ convent onlin learn multi object track updat learnabl paramet per frame work incorpor global model object constraint learn confid base associ method compar tracker state art method public avail mot challeng dataset result achiev mota multi object track accuraci hz track speed mot test dataset comparison result show method contribut improv track accuraci track speed togeth
|
D000465;D007858
|
T062;T170;T041;T061
|
36,298,292
|
embed biometr inform interpol medic imag revers adapt strategi hide messag digit imag messag discov tamper compel topic research area cybersecur interpol base revers data hide rdh scheme especi use applic medic imag manag biometr inform patient acquir biosensor embed interpol medic imag purpos authent propos scheme classifi pixel block complex smooth one accord block dynam rang pixel valu complex block minimum neighbor mn interpol follow dim embed appli dim denot differ block interpol pixel valu maximum pixel valu smooth block block mean bm interpol follow predict error histogram peh embed differ expans de embed appli compar previous method adapt strategi ensur low distort due embed smooth block provid good payload complex block scheme suitabl medic general imag experiment result confirm effect propos scheme perform comparison state art scheme also given peak signal nois ratio psnr propos scheme db higher relev work best case
|
D000465;D016494
|
T078;T080;T170;T097;T057
|
36,298,291
|
design implement new train flight simul system aircraft flight simul good cost effici high reusabl high flight safeti airlin aircraft manufactur compani choos sophist train equip ground simul effect reduc pilot train cost ensur personnel safeti aircraft wear tear new simul propos paper combin digit motion cue algorithm flight softwar motion platform make pilot feel real world use ethercat technolog drive motion cue platform improv data transmiss speed simul well strong anti interfer abil communic control oper effici therefor simul flight subject perform long distanc larg angl train next set measur system establish provid monitor item includ attitud veloc acceler display screen record comput real time dynam final seven train subject implement demonstr feasibl correct propos method
|
D009041;D000337
|
T047;T091
|
36,298,289
|
enhanc authent key agreement surgic applic tactil internet environ tactil internet enabl physic touch transmit internet context electron medicin authent key agreement tactil internet allow surgeon perform oper via robot system receiv tactil feedback remot patient fifth generat network complet chang network space increas effici tactil internet ultra low latenc high data rate reliabl connect howev inappropri insecur authent key agreement tactil internet may caus misjudg improp oper medic staff endang life patient kamil et al develop novel lightweight authent key agreement scheme suitabl remot surgeri applic tactil internet environ howev scheme direct encrypt communic messag constant secret key direct store secret key verifi tabl make scheme vulner possibl attack therefor investig discuss limit scheme propos kamil scheme present enhanc scheme enhanc scheme develop use one time key protect communic messag wherea verifi tabl protect secret gateway key mitig mention limit enhanc scheme proven secur possibl attack provid secur function similar scheme retain lightweight comput cost
|
D016494;D017216
|
T078;T080;T170;T097;T058;T057
|
36,298,288
|
fast underwat optic beacon find high accuraci visual rang method base deep learn visual recognit local underwat optic beacon import step autonom underwat vehicl auv dock main issu restrict use underwat monocular vision rang attenu light water mirror imag water surfac light sourc small size optic beacon studi fast monocular camera local method small light beacon propos yolo v look model coordin attent ca mechan construct compar origin model model convolut block attent mechan cbam model improv predict accuraci recal sub pixel light sourc centroid local method combin super resolut generat adversari network srgan imag enhanc zernik moment propos detect rang small optic beacon increas laboratori self made pool anecho pool experi averag relat distanc error method percent averag detect speed fps studi offer solut long distanc fast accur posit underwat small optic beacon due fast recognit accur rang wide detect rang characterist
|
D000077321
|
T066
|
36,298,287
|
novel load balanc scheme satellit iot network base spatial tempor distribut user advanc genet algorithm satellit iot network iot n hot issu regard next generat communic quit import come era digit twin metavers perform sens monitor anywher anytim anyway dimens howev caus communic link face greater traffic load satellit internet network sin consid possibl evolut road possess characterist mani satellit low earth orbit leo kuka frequenc high data rate exist research load balanc scheme satellit network solv problem low effici condit extrem non uniform distribut user dou dynam densiti varianc therefor paper propos novel load balanc scheme adjac beam iot n base model spatial tempor dou advanc ga scheme pdf dou direct movement ssp trajectori model first provid multi direct constraint non uniform distribut user iot n fulli consid prior period satellit movement similar dou differ area propos adapt inherit iter optim crossov factor mutat factor ga first time base propos improv ga obtain optim scheme load balanc condit adapt local balanc scheme global balanc select ser beam access final simul show propos method improv averag throughput specif condit improv process effici averag
|
D016494;D000465
|
T078;T080;T170;T097;T057
|
36,298,284
|
review learn base robot manipul clutter environ robot manipul refer robot intellig interact object surround grasp carri object one place anoth dexter manipul skill enabl robot assist human accomplish various task might danger difficult requir robot intellig plan control action hand arm object manipul vital skill sever robot task howev pose challeng robot motiv behind review paper review analyz relev studi learn base object manipul clutter unlik review review paper provid valuabl insight manipul object use deep reinforc learn deep rl dens clutter various studi examin survey exist literatur investig various aspect name intend applic techniqu appli challeng face research recommend adopt overcom obstacl review divid deep rl base robot manipul task clutter environ three categori name object remov assembl rearrang object retriev singul task discuss challeng potenti prospect object manipul clutter find review intend assist establish import guidelin direct academ research futur
|
D012371
|
T090
|
36,298,282
|
detect malwar analyz app permiss android platform systemat literatur review smartphon adapt societi progress high speed abil run vast varieti devic much user base possess android phone popular flexibl play major role make target differ attack via malwar caus loss user financi privaci perspect differ malwar variant emerg everi day make huge challeng come detect prevent methodolog tool research spawn various direct yield effect malwar detect mechan sinc malwar adopt differ way attack hide accur analysi key detect like usual mobil app malwar requir permiss take action use devic resourc total permiss android app request devic malwar take advantag request unnecessari permiss would enabl take malici action sinc permiss critic import challeng identifi app exploit permiss caus damag focus articl analyz identifi studi conduct focus permiss analysi malwar detect perspect systemat literatur review slr produc sever paper retriev select detail analysi current challeng differ analys present use identifi articl
|
D063731;D000068997;D016494
|
T078;T073;T080;T170;T097;T057
|
36,298,281
|
iacra lifetim optim invulner awar cluster rout algorithm use game theoret approach wsns energi limit one intrins shortcom wireless sensor network wsns although wide appli disast respons battlefield surveil wildfir monitor radioact detect etc due larg amount energi consum data transmiss prolong network lifespan design various hierarch rout protocol attract attent result numer achiev emerg success howev present mechan rare guarante satisfactori qualiti servic qos lower energi cost level wsns meanwhil invulner undoubt excel quantit index assess qos therefor critic develop practic rout method optim network lifetim consid invulner energi effici game theori suitabl critic problem use node network level encourag decis make capabl wsns paper novel invulner awar cluster rout algorithm iacra use game theoret method propos solv predica core featur address game theori base rout protocol includ integr invulner awar optim cluster head select hierarch rout distanc awar cluster head discoveri cluster rotat updat mechan lifetim optim particular integr network invulner base weight fusion construct defin profit model combin invulner indic use evalu local whole network meanwhil optim probabl function everi node elect ch per cluster establish game invulner node energi consumpt addit cluster updat mechan base cluster rotat propos avoid rapid death node larg energi consumpt maxim network lifetim experiment result indic signific improv energi balanc well invulner compar three kind well known cluster rout protocol includ geec game theori base energi effici cluster rout protocol hgtd hybrid game theori base distribut cluster protocol eegc effici energi awar game theori base cluster protocol concret communic round invulner iacra higher geec hgtd eegc respect averag residu energi iacra larger geec hgtd eegc respect base result propos protocol util increas capabl wsns deterior qos energi constraint
|
D003195;D059015
|
T170;T073;T057
|
36,298,280
|
recognit method broiler sound signal base multi domain sound featur classif model view limit number extract sound featur lack depth analysi applic sound featur lack depth studi select basi optim process classif model exist broiler sound classif recognit research author propos recognit method broiler sound signal base multi domain sound featur classif model implement process divid train stage test stage train stage experiment area built multipl segment broiler sound signal collect filter sub frame process endpoint detect combin start frame end frame multipl sound type broiler sound signal obtain total sixti sound featur four aspect time domain frequenc domain mel frequenc cepstral coeffici mfcc spars represent extract frame signal form multipl featur vector featur vector label manual build data set min max standard method use process data set random forest use calcul import sound featur thirti sound featur contribut classif effect classif model retain basi classif model base seven classif algorithm train best perform classif model base k nearest neighbor knn obtain inher paramet optim optim classif model obtain test result show averag classif accuraci achiev decis tree base classifi abbrevi dt classifi data set min max standard process improv averag classif accuraci achiev dt classifi data set featur select improv averag classif accuraci achiev knn base classif model paramet optim improv highest classif accuraci test stage segment broiler sound signal collect broiler captiv area combin start frame end frame multipl sound type broiler sound signal obtain signal filter sub frame process endpoint detect step thirti sound featur extract frame signal form data set predict optim classif model use predict label piec data data set predict perform major vote process predict label data combin correspond sound type common label obtain predict type obtain basi definit recognit accuraci broiler sound signal propos test result show classif accuraci achiev optim classif model data set predict recognit accuraci achiev multipl segment broiler sound signal
|
D002645;D000465
|
T170;T012
|
36,298,279
|
indoor monitor lidar sensor patient alzheim diseas resid long term care facil paper introduc indoor monitor lidar sensor patient alzheim diseas resid long term care facil ltcfs sensor exploit optoelectron analog front end afe detect light signal target util chip avalanch photodiod apd realiz nm cmos process neural process unit npu use motion detect decis especi incid fall occur ltcfs afe consist chip cmos p n well apd linear mode transimped amplifi post amplifi time digit convert wherea npu exploit network sparsiti approxim process element low power oper work provid potenti solut low cost low power indoor monitor lidar sensor patient alzheim diseas ltcfs
|
D000544
|
T047;T048
|
36,298,277
|
measur proton photon hand held spectrophotometr ph analyz ocean acidif research communiti scienc educ ocean acidif oa negat affect physiolog process marin organ alter biogeochem cycl chang chemic equilibria throughout world ocean difficult measur ph broad larg part accur ph measur technolog expens bulki requir technic train present develop evalu hand held afford field durabl easi use ph instrument name phyter control smartphon app determin accuraci ph measur use phyter comparison benchtop spectrophotometr seawat ph measur measur certifi ph standard comparison proven situ instrument isami ph result show phyter ph measur accuraci ph better par interlaboratori seawat ph measur comparison experi also demonstr phyter abil conduct tempor spatial studi coastal ecosystem present data coral reef bay phyter use kayak studi showcas instrument portabl applic potenti use communiti scienc stem educ outreach goal empow peopl around world measur ph backyard
|
D012623;D017753
|
T082;T070;T167
|
36,298,276
|
ati et triangl model novel approach estim soil moistur appli modi data simpl soil moistur sm estim method propos use appar thermal inertia ati evapotranspir et data among method estim sm use thermal infrar tir remot sens ati method wide use bare soil low veget area howev larg surfac et caus ati error result lower accuraci sm estim overcom problem potenti ati et space estim sm bare veget farmland dri season irrig studi ati et data use construct triangl featur space six distanc paramet extract posit random pixel triangl correl estim made deriv paramet use sm estim three total sm estim model consist three paramet built compar ati model ati et triangl model appli area high et also higher accuraci estim sm ati et triangl model suitabl applic bare soil low veget area normal differ veget index increas accuraci model estim decreas show high portabl propos model sm estim chose anoth set situ sm data acquir tibetan plateau result prove effect model similar studi region
|
D012987;D014867
|
T121;T197;T167
|
36,298,274
|
deep residu neural network imag reconstruct biomed magnet induct tomographi recent year becom increas popular solv invers problem various tomographi method deep learn techniqu deep residu neural network resnet introduc reconstruct conduct distribut biomed volumin bodi magnet induct tomographi mit mit relat new contactless noninvas tomographi method howev ill condit invers problem mit challeng solv especi volumin bodi conduct rang biolog tissu propos resnet reconstruct two cuboid perturb object conduct sm whole volumin bodi even difficult detect centr dataset use train test contain simul signal cuboid perturb object randomis length posit furthermor special care went avoid invers crime creat dataset calcul metric show good result test dataset averag correl coeffici mean squar error robust test three special test case contain unknown shape conduct real measur show error result well within margin metric test dataset indic good approxim invers function mit two perturb object achiev invers crime avoid
|
D007091;D014054
|
T060;T066
|
36,298,273
|
toward onlin age detect transform oil review transform play essenti role power network ensur generat power get consum safest voltag level howev prone insul failur age fatal econom consequ left undetect unattend tradit detect method base schedul mainten practic often involv take sampl situ transform analys laboratori use sever techniqu convent method expos engin perform test hazard requir specialis train guarante reliabl result sampl contamin collect transport paper review transform oil type tradit age detect method includ breakdown voltag bdv spectroscopi dissolv gas analysi total acid number interfaci tension correspond regul standard addit review sensor technolog improv reliabl onlin age detect relat onlin transform age system cover work non destruct onlin age detect method situ transform oil better altern tradit offlin detect method moreov combin internet thing iot artifici intellig prescript mainten solut emerg offer advantag robust offlin prevent mainten approach
|
D001185;D011211
|
T090;T073;T066
|
36,298,272
|
gait characterist analyz smartphon imu sensor subject parkinson condit dri immers parkinson diseas pd increas studi use scienc intens method due econom medic rehabilit social reason wearabl sensor internet thing enabl technolog look promis monitor motor activ gait pd patient studi sought evalu gait characterist analyz acceleromet signal receiv smartphon attach head extend tug test singl repeat session terrestri micrograv model condit dri immers di five subject pd acceleromet signal imu walk phase tug test allow recognit character step patient pd unusu long step identifi could potenti diagnost valu found one di session step chang though one subject signific improv cadenc heel strike step length cours di session characterist tug test improv signific conclus use acceleromet signal receiv smartphon imu look promis creation iot enabl system monitor gait subject pd
|
D010300;D000068997
|
T047;T073
|
36,298,271
|
global emerg system base wpan lpwan hybrid network multipl method communic transmiss everi type alarm case emerg system usual control privat compani work bridg sourc receiv emerg furthermor necessari use independ communic system build requir human vigil lead increas infrastructur servic cost well respons time paper propos hybrid network combin wireless person access network wpan low power wide access network lpwan communic complet develop communic architectur orient emerg system main aim work provid global emerg system focus fire detect also suitabl critic event low energi consumpt wide communic rang cover km low cost servic infrastructur propos reduc total energi consumpt system respect typic fire detect system
|
D003195;D059015
|
T170;T073;T057
|
36,298,270
|
switchgear digit research path status futur work keep pace global energi effici trend particular emiss reduct target maritim sector onshor maritim power distribut system need adapt relev new technolog concept import link distribut chain medium voltag switchgear mv expect stabl reliabl oper effici possibl failur mv equip rare equip must safe handl use far reach consequ consequ failur whether shore marin power system present risk entir power plant accur assess equip condit requir identifi potenti failur earli solut emerg concept digit switchgear implement sensor technolog communic protocol enabl effect condit monitor creation databas combin machin learn algorithm enabl predict mainten andor fault detect paper present step step previous challeng current research divid predict mainten condit monitor fault detect categori futur direct field use artifici intellig discuss elimin disadvantag manual interpret oper data recommend futur work formul need standard test procedur data set train compar differ algorithm use practic
|
D001185;D000465
|
T090;T170;T073;T066
|
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