PMID
int64 35.7M
36.4M
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36,298,269
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visual relationship detect multimod fusion reason visual relationship detect aim complet understand visual scene recent receiv increas attent howev current method use visual featur imag train semant network match human habit know obvious featur scene infer covert state use common sens therefor method predict hidden relationship object pair complex scene address problem propos unifi vision languag fusion knowledg graph reason combin visual featur embed extern common sens knowledg determin visual relationship object addit train relationship detect network devis object pair propos modul solv combin explos problem extens experi show propos method outperform state art method visual genom visual relationship detect dataset
|
D011340;D001288
|
T041
|
36,298,268
|
portuino novel portabl low cost arduino base photo fluorimet novel portabl low cost arduino control photo fluorimet site measur develop devic use led light sourc phototransistor light sensor circuit base discharg capacitor photocurr phototransistor valid experi absorb measur perform measur protein concentr use bradford method measur phosphat ion water use commerci test kit emiss light excit fluoresc dye rhodamin g calcofluor white measur valid usabl devic fluoresc photomet valid experi similar correl coeffici limit detect could achiev portabl photo fluorimet laboratori spectromet fluorimet real sampl analysi perform measur phosphat concentr freshwat concentr green fluoresc protein extract escherichia coli
|
D005456;D010783
|
T130;T059
|
36,298,264
|
deep learn base energi expenditur estim assist non assist gait use inerti emg heart rate wearabl sensor energi expenditur key rehabilit outcom start use robot base rehabilit human loop control tailor robot assist toward reduc patient energi effort howev usual assess indirect calorimetri entail certain degre invas provid delay data suitabl control robot devic work propos deep learn base tool steadi state energi expenditur estim base ergonom sensor indirect calorimetri studi innov estim energi expenditur assist non assist condit slow gait speed similar impair subject work explor benchmark long short term memori lstm convolut neural network cnn deep learn regressor input fuse inerti data electromyographi heart rate signal measur bodi sensor eight healthi volunt walk without assist ankl foot exoskeleton ms lstm cnn compar indirect calorimetri use leav one subject cross valid techniqu result show suitabl tool especi cnn demonstr root mean squar error wkg high correl gt target estim r cnn abl discrimin energi expenditur assist non assist gait basal walk energi expenditur throughout three slow gait speed cnn regressor driven kinemat physiolog data shown ergonom techniqu estim energi expenditur contribut clinic assess slow robot assist gait futur research concern human loop control
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D000077321;D000076251
|
T073;T066
|
36,298,263
|
improv iot base system detect number peopl distribut classroom paper present improv iot base system design help teacher handl lesson classroom line covid restrict system count number peopl classroom well distribut within classroom propos iot system consist three part gate node iot node server gate node instal door provid inform number person enter leav room use door cross detect arduino base modul nodemcu use iot node set ultrason distanc sensor use obtain inform seat occup system server run local raspberri pi teacher connect use web applic comput classroom smartphon teacher abl set chang set system gui simpl algorithm design check distanc occupi seat evalu accord impos restrict system provid high privaci unlik camera base system
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D000086382
|
T047;T067
|
36,298,262
|
ultrason imag sensor ultrasound imag wide research field cover area wave propag physic sensor front end electron imag reconstruct algorithm softwar
|
D000465;D012984
|
T090;T170;T073
|
36,298,261
|
experi agricultur sensor data fusion approach remot sens uav self drive tractor geomat import agricultur fact use differ type data remot sens satellit unman aerial vehicl uav gnss photogrammetri laser scanner type data therefor use data fusion techniqu depend differ applic carri work aim present studi area concern integr data acquir use data fusion techniqu remot sens techniqu uav autonom drive machin data fusion reprocess visualis term result obtain gis geograph inform system work emphas import integr differ methodolog data fusion techniqu manag data differ natur acquir differ methodolog optimis vineyard cultiv product particular note appli focus vineyard geomat type methodolog develop work integr use optimis order make contribut agricultur specif use ndvi normal differ veget index appli multispectr satellit imag drone imag suitabl combin identifi vigour plant use autonom guid vehicl equip sensor monitor system estim optim path allow us optimis fertilis irrig etc data fusion techniqu use various type sensor everyth visualis gis improv manag field accord potenti also use histor data environment climat socioeconom characterist area purpos experi differ type geomat carri individu applic case integr work coordin integr order provid researchappl cue agricultur
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D058998;D000383
|
T090;T066
|
36,298,260
|
deblur sound sourc orient recognit base deep neural network underwat target detect identif technolog current two import research direct inform disciplin tradit underwat target detect technolog struggl meet need current engin howev due larg manifold error underwat sonar array complex ensur long term signal stabil tradit high resolut array signal process method ideal practic underwat applic convent beamform method signal nois ratio lower db general direct vagu identifi general direct address challeng paper propos beamform method base deep neural network preprocess space time domain target sound signal convert two dimension data angl time domain subsequ train network enough sampl dataset final high resolut recognit predict two dimension imag realiz result test dataset paper demonstr effect propos method minimum signal nois ratio db
|
D013016;D016571
|
T070;T170
|
36,298,257
|
preliminari evid eeg connect chang self objectif worker econom objectif form dehuman worker treat tool enhanc product lead self objectif workplac peopl perceiv instrument work caus burnout emot drain modif self percept involv loss human attribut emot reason focus other perspect evalu self research worker self objectif main analyz consequ process without explor brain activ under individu experi self objectif thus project explor electroencephalograph eeg chang occur particip econom objectifi task resembl job onlin store task self objectif questionnair appli result index use label particip self objectifi non self objectifi chang time eeg event relat synchron er partial direct coher pdc calcul compar self objectif group result show main differ group er pdc occur beta gamma frequenc pdc result correl self objectif group result provid inform understand worker self objectif eeg chang could indic econom self objectif associ chang vigil boredom mind wander
|
D032981;D012649
|
T041;T054
|
36,298,256
|
semg base gain tune complianc control lower limb rehabilit robot passiv train lower limb rehabilit robot typic man machin coupl system aim problem insuffici physiolog inform unsatisfactori safeti perform complianc control strategi lower limb rehabilit robot passiv train studi develop surfac electromyographi base gain tune complianc control egcc strategi lower limb rehabilit robot first map function relationship normal surfac electromyographi semg signal gain paramet establish overal egcc strategi propos next egcc strategi without semg inform simul analyz effect imped control paramet posit correct amount studi chang rule robot end trajectori man machin contact forc posit correct amount analyz differ train mode semg signal acquisit featur analysi target muscl group differ train mode carri final base lower limb rehabilit robot control system influenc normal semg threshold robot end trajectori gain paramet differ train mode experiment studi simul experiment result show adopt egcc strategi signific enhanc complianc robot end effector detect semg signal improv safeti robot differ train mode indic egcc strategi good applic prospect rehabilit robot field
|
D012371
|
T090
|
36,298,255
|
optic sensor technolog applic optic method non invas tool use various field includ sens applic continu increas thank continu develop innov low cost sourc detector
|
D013672
|
T090
|
36,298,254
|
virtual realiti supplement posturographi novel balanc assess tool virtual realiti vr well establish technolog medicin head mount display hmds made vr access mani branch medic research howev applic balanc evalu vagu comprehens literatur possibl applic vr postur measur scarc aim review conduct literatur search applic immers vr deliv use head mount display posturograph measur systemat search two databas pubm scopus use keyword virtual realiti posturographi perform follow prisma guidelin systemat review initi search result return non duplic record two review independ screen abstract sixteen paper fulfil inclus criteria none exclus criteria select complet text retriev addit record identifi citat search ultim studi includ review virtual realiti often use addit visual stimuli static dynam posturographi evalu one studi attempt evalu vr environ head mount display independ method assess postur research conduct assess hmd vr standalon posturographi replac
|
D000076142;D000080310
|
T073;T066
|
36,298,253
|
portabl non intrus fill state detect liquid freight contain base vibrat signal remot autom queri fill state liquid freight contain signific boost oper effici rail storag yard exist method fill state detect intrus requir sophist instrument specif test condit make unsuit due noisi changeabl surround restrict access interior present non intrus system exploit influenc fill state contain respons extern excit use solenoid acceleromet mount exterior wall contain generat puls excit measur contain respons fill state detect decis either binari emptynon empti label quantis predict liquid level also investig choic signal featur detectionclassif placement sensor actuat experi conduct real set valid algorithm prototyp result show placement sensor actuat along base contain best term detect accuraci term signal featur linear predict cepstral coeffici possess suffici discrimin inform predict accuraci binari classif exceed quantis level predict
|
D014732;D000465
|
T070;T170
|
36,298,252
|
two stage deep generat model mask face synthesi research face recognit mask face increas import due prolong covid pandem make face recognit practic robust larg amount face imag data acquir train purpos howev difficult obtain mask face imag human subject cope difficulti paper propos simpl yet practic method synthes realist mask face unseen face imag cascad two convolut auto encod cae design former cae generat pose alik face wear mask pattern expect fit input face term pose view output former cae readili fed secondari cae extract segment map local mask region face use segment map mask pattern success fuse input face mean simpl imag process techniqu propos method reli face appear reconstruct without facial landmark detect local techniqu extens experi gtav face databas label face wild lfw databas show two complementari generat could rapid accur produc synthet face even challeng input face eg low resolut face pixel plane rotat
|
D000086382;D000066499
|
T041;T047;T067
|
36,298,251
|
suto solar turbul open imag dataset imag turbul subject mani research paper varieti field includ defenc astronomi earth observ medicin main goal research usual recov origin undisturb imag impact spatial depend blur induc phase modul light wavefront remov number turbul disturb imag databas avail onlin small dataset usual contain repeat type ground object car build ship chessboard pattern articl present databas solar imag wide vari turbul condit obtain suto solar patrol station record period year dataset contain imag sequenc distinct yet random select fragment solar chromospher photospher refer imag provid data use comput intens imag recoveri latest multifram blind deconvolut techniqu wide accept solar imag present dataset extend next year new imag sequenc routin acquir sunni day suto solar station
|
D001256
|
T090
|
36,298,250
|
individu short term electr load forecast use data driven meta heurist method base lstm network short term load forecast view one promis technolog demand predict critic input promis arrang power plant unit thus imper present new incent method motiv power system oper electr manag paper propos approach short term electr load forecast use long short term memori network improv sine cosin algorithm call metarec first use long short term memori network special kind recurr neural network dispatch command characterist store transmit long term short term memori next four import paramet determin use sine cosin algorithm base logist chao oper multilevel modul factor overcom inaccuraci long short term memori network predict term manual select paramet valu moreov perform metarec method outperform other regard converg accuraci converg speed varieti test function final analysi extend scenario metareclong short term memori back propag neural network long short term memori network default paramet long short term memori network convent sine cosin algorithm long short term memori network whale optim power load forecast real electr load dataset simul result demonstr multipl forecast metareclong short term memori effect incentiv high accuraci stabil short term power load forecast
|
D000066506;D016571
|
T170
|
36,298,249
|
fiber optic sensor fos smart high voltag composit cabl numer simul multi paramet bend effect generat irregular seab topographi offshor renew energi requir reliabl high voltag electr power cabl transport electr onshor station power cabl critic infrastructur ship deep sea ship handl oper mount must evolv extrem condit sea salt wind water pressur seab topographi etc oper work condit lead yield copper conductor often result electr shutdown inde copper excel electr conductor conduct mechan properti poor neglig occur ship andor handl oper copper undergo plastic effect mechan electr properti therefor prime import establish reliabl structur health monitor shm techniqu enabl continu record copper strain temperatur along cabl proven use fiber optic fos sensor phase tensil load prospect articl scope maintain previous simul thus show judici placement fos one monitor strain temperatur within cabl submit bend articl aim deal direct case cabl undergo bend sloppi area seab idea behind work suggest concept use embed fiber optic sensor think remain done research order suggest technolog cabl manufactur
|
D003300;D005336
|
T090;T123;T196;T121
|
36,298,248
|
methodolog use remot sens data analysi remot sensor precis agricultur adopt remot sens techniqu precis agricultur two main area consid data acquisit data analysi methodolog
|
D058998;D000078332
|
T066;T057
|
36,298,244
|
network threat detect use machinedeep learn sdn base platform comprehens analysi state art solut discuss challeng futur research direct revolut network technolog usher softwar defin network sdn make possibl control network central locat provid overview network secur despit sdn singl point failur increas risk potenti threat network intrus detect system nid prevent intrus network preserv network integr avail confidenti much work done nid still improv need reduc fals alarm increas threat detect accuraci recent advanc approach deep learn dl machin learn ml implement sdn base nid overcom secur issu within network first part survey paper offer introduct nid theori well recent research conduct topic conduct thorough analysi recent ml dl base nid approach ensur reliabl identif potenti secur risk final focus opportun difficulti lie ahead futur research sdn base ml dl nid
|
D000077321
|
T066
|
36,298,242
|
data center traffic predict algorithm resourc schedul paper use intellig method time recurr neural network predict network traffic main solv problem resourc imbal demand differenti current g cloud network collabor architectur improv tree speci optim algorithm propos optim initi network data lstm model use predict data center traffic obtain better network traffic predict accuraci take correspond measur final build schedul algorithm integr busi cooper cach load balanc base traffic predict reduc peak pressur g data center network
|
D000465;D016571
|
T170
|
36,298,241
|
blind deblur remot sens singl imag base featur align motion blur recoveri common method field remot sens imag process effect improv accuraci detect recognit among exist motion blur recoveri method algorithm base deep learn reli priori knowledg thus better generaliz howev exist deep learn algorithm usual suffer featur misalign result high probabl miss detail error recov imag paper propos end end generat adversari network sdd gan singl imag motion deblur address problem optim recoveri blur remot sens imag first paper appli featur align modul fafm generat learn offset featur map adjust posit sampl convolut kernel align featur map accord context second featur import select modul introduc generat adapt filter featur map spatial channel domain preserv reliabl detail featur map improv perform algorithm addit paper construct self construct remot sens dataset rsdata base mechan imag blur caus high speed orbit motion satellit compar experi conduct self built remot sens dataset public dataset well real remot sens blur imag taken orbit satellit cx result show algorithm paper outperform comparison algorithm term quantit evalu visual effect
|
D007091;D000465
|
T170;T066
|
36,298,240
|
garag fabric ultrasensit capacit humid sensor base tissu paper role humid sensor differ industri field applic agricultur food monitor biomed equip heat ventil well known howev commerci avail humid sensor base polym electron materi degrad thus contribut electron wast report low cost flexibl easi fabric eco friend parallel plate capacit humid sensor field applic sensor fabric copper tape tissu paper copper tape use creat plate capacitor tissu paper use dielectr sens layer along low cost high sensit better respons recoveri time stabil repeat make sensor uniqu sensor test relat humid rh rang capacit vari linear rh pf pf measur arduino respons time sensor recoveri time experi perform time sensor repeat result achiev accuraci furthermor sensor exhibit stabl respons test differ temperatur due advantag present sensor find readi applic differ area
|
D003300;D004581
|
T090;T123;T196;T121
|
36,298,239
|
gru neural network improv bioimped base stroke volum estim ergometri stress test cardiovascular diseas cvds one lead member non communic diseas earli diagnosi essenti effect treatment reduc hospit time health care cost nowaday exercis stress test ergomet use identifi cvds improv accuraci diagnost hemodynam status paramet person investig hemodynam manag thorac electr bioimped recent use techniqu offer beat beat stroke volum calcul suffer artifact sensit signal make measur difficult movement propos new method base gate recurr unit gru neural network ecg signal improv measur bioimped signal reduc artifact calcul hemodynam paramet conduct studi subject new approach compar ensembl averag scale fourier linear combin adapt filter simpl neural network gru neural network perform better singl artifact event shallow neural network mean error mean squar error normal stroke volum gru network superior algorithm use time correl data exercis stress test
|
D002307;D005080
|
T060
|
36,298,238
|
robust angular rate sensor util auto parametr reson excit paper present singl axi angular rate sensor robust variat oper voltag frequenc sensor develop overcom shortcom convent mode match micromachin vibratori gyroscop open loop oper name narrow frequenc bandwidth unstabl scale factor develop sensor util inher forc inerti nonlinear electrostat forc fabric imperfect auto parametr excit sens mode via auto parametr reson yield broader bandwidth frequenc respons sensor sens mode experiment result demonstr amp nbsp db frequenc bandwidth amp nbsp hz scale factor amp nbsp vs dynam rang
|
D014732
|
T070
|
36,298,237
|
review navig assist tool technolog visual impair visual impair suffer great move one place anoth face challeng go outdoor protect move stationari object also lack confid due restrict mobil due recent rapid rise number visual impair person develop assist devic emerg signific research field review studi introduc sever techniqu help visual impair mobil present state art recent assist technolog facilit everyday life also analys comprehens multipl mobil assist technolog indoor outdoor environ describ differ locat feedback method visual impair use assist tool base recent technolog navig tool use visual impair discuss detail subsequ section final detail analysi various method also carri futur recommend
|
D019987;D012656
|
T074;T101
|
36,298,235
|
machin learn sensor diagnosi covid diseas use routin blood valu internet thing applic healthcar digit requir effect applic human sensor various paramet human bodi instant monitor everyday life due internet thing iot particular machin learn ml sensor prompt diagnosi covid import option iot applic healthcar ambient assist live aal determin covid infect status various diagnost test imag result cost time consum studi provid fast reliabl cost effect altern tool diagnosi covid base routin blood valu rbvs measur admiss dataset studi consist total patient number negat posit covid test result routin blood valu studi popular classifi machin learn model lognnet neural network model exanim success classifi model term time accuraci detect diseas histogram base gradient boost hgb accuraci time sec hgb classifi identifi import featur ldl cholesterol hdl c mchc triglycerid amylas ua ldh ck mb alp mch detect diseas accuraci addit import singl doubl tripl combin featur diagnosi diseas discuss propos use featur binari combin import biomark ml sensor diagnosi diseas support edg comput arduino cloud iot servic
|
D000080487;D000086382
|
T047;T170;T067
|
36,298,234
|
modul heart rate variabl deep breath exercis transcutan auricular vagus nerv stimul studi healthi particip patient rheumatoid arthriti system lupus erythematosus rheumatoid arthriti ra system lupus erythematosus sle associ impair autonom nervous system vagus nerv function electr physiolog deep breath db vagus nerv stimul vns could potenti treatment approach direct comparison made studi effect transcutan auricular vns tavn db vagal tone compar healthi particip ra sle patient vagal tone estim use time domain heart rate variabl hrv paramet forti two healthi particip patient perform min db min tavn separ day hrv record immedi intervent healthi particip hrv paramet increas db sdnn rmssd one hrv paramet increas tavn sdnn patient hrv paramet increas db tavn differ two type vns db associ largest elev hrv paramet healthi particip type vns led elev hrv paramet patient find support potenti use vns new treatment approach clinic effect need investig futur studi
|
D055536;D008180;D001172
|
T061;T047
|
36,298,233
|
narrow linewidth half open caviti random laser assist three grate ring reson strain detect stabil narrow linewidth random fiber laser strain detect base three grate ring tgr reson half open caviti structur propos investig experiment half open caviti structur prove provid doubl optic gain erbium dope fiber benefici increas photon lifetim well narrow linewidth meanwhil stabil frequenc nois narrow lase output improv suppress competit induc undesir residu random lase mode tgr reson tgr reson compos doubl caviti fiber bragg grate fabri perot fbg fp interferomet section singl mode fiber circul special design doubl caviti fbg fp interferomet embed tgr reson act strain sens element improv resolut dynam strain stabl ultra narrow linewidth hz obtain frequenc nois reduc hzhz high dynam strain measur resolut femto strain f hz achiev
|
D005336;D004871
|
T090;T196
|
36,298,231
|
develop ieee plug play modul smart transduc industri environ use sensor actuat ubiquit industri environ advent industri internet thing iiot th industri revolut demand new intellig effici way abl connect read control transduc plant floor level newer control data scienc techniqu also larg benefit structur inform endpoint avail edg network ieee standard present architectur methodolog solv problem usag smart transduc introduc edg devic concept self identif standard data communic work transduc interfac modul develop use ieee standard focus flexibl eas integr plug play featur furthermor system architectur base ieee present develop implement featur explain system releas open sourc platform help motiv usag smart transduc system last system test result collect methodolog metric defin comparison differ smart transduc system
|
D014159
|
T074
|
36,298,229
|
impact drop function cluster packet loss drop function mechan known improv perform tcpip network reduc queue delay desynchron flow paper studi yet anoth posit effect caus mechan ie reduct cluster packet loss measur burst ratio main contribut consist two new formula burst ratio system without drop function respect formula enabl easi calcul burst ratio general non poisson traffic arbitrari form drop function formula provid sever numer exampl demonstr usabl particular test effect drop function shape burst ratio sever shape drop function propos literatur compar context also demonstr optim shape found paramet depend class function final investig impact differ system paramet burst ratio includ load system varianc servic time import conclus drawn exampl drop function reduc burst ratio far simultan variabl traffic benefici applic drop function
|
D000465;D012984
|
T090;T170;T073
|
36,298,227
|
sustain data driven secur optim use dynam program green internet thing develop smart applic benefit great expans wireless technolog rang task perform end devic made capabl communic one anoth support artifici intellig technolog internet thing iot increas effici communic network due low cost simpl manag howev demonstr mani system still need intellig strategi green comput establish reliabl connect green iot g iot network anoth key research challeng integr edg comput studi provid sustain data driven secur optim model sds giot use dynam program provid enhanc learn capabl first propos approach examin multi variabl function deliv graph base link predict locat optim node edg network moreov identifi sub path multistag continu data transfer rout unavail due certain communic circumst second appli secur edg comput provid offload servic lower amount process power need low constraint node final sds giot model verifi various experi perform result demonstr signific sustain environ exist solut
|
D000080487
|
T170
|
36,298,226
|
singl stage underwat target detect base featur anchor frame doubl optim network shallow underwat environ complex problem color shift uneven illumin blur distort imag process scene unfavor reason detect network addit typic object identif algorithm struggl maintain high resili underwat environ due pictur domain offset make underwat object detect problemat
|
D000465;D005399
|
T170;T013
|
36,298,224
|
ftir raman ser analysi amid spectral region oral biofluid sampl orthodont treatment gingiv crevicular fluid gcf site specif exud deriv epithelium line gingiv sulcus gcf analysi provid simpl noninvas diagnost procedur follow periodont bone remodel respons diseas mechan stimuli orthodont tooth movement otm recent year use vibrat spectroscopi fourier transform infrar raman microspectroscopi surfac enhanc raman spectroscopi contribut character chang gcf fix orthodont treatment amid band play relev role analysi chang aim studi investig spectroscopi respons amid depend otm process durat model base gaussian lorentzian curv use analyz infrar spectra lorentzian function use raman ser spectra chang induc otm process subcompon amid band determin ascrib secondari structur modif occur protein vibrat spectroscopi allow us effici monitor effect orthodont forc applic thus gain increas attent tool individu patient person clinic practic
|
D000577;D005883
|
T031;T109
|
36,298,223
|
drone base environment monitor imag process approach resourc estim privat nativ forest paper investig util drone base environment monitor assist forest inventori queensland privat nativ forest pnf research aim build capabl carri forest inventori effici without need reli labori field assess use drone deriv imag subsequ applic digit photogrammetri obtain inform pnfs underinvestig southeast queensland veget type studi use imag process separ individu tree digit photogrammetri deriv canopi height model chm studi support tree height data collect field one site paper address research question well drone deriv point cloud estim height tree pnf ecosystem studi indic drone basic rgb camera estim tree height good confid result potenti appli across multipl land tenur similar forest type inform develop drone base remot sens imag process method lead improv forest inventori therebi provid forest manag recent accur effici inform forest resourc
|
D017753;D000088722
|
T070;T073;T082
|
36,298,222
|
beyond prnu learn robust devic specif fingerprint sourc camera identif sourc camera identif tool assist imag forens investig associ imag camera photo respons non uniform prnu nois pattern caus sensor imperfect proven effect way identifi sourc camera howev prnu suscept camera set scene detail imag process oper eg simpl low pass filter jpeg compress counter forens attack forens investig unawar malici counter forens attack incident imag manipul risk misl spatial synchron requir match two prnus also repres major limit prnu address prnu fragil issu recent year deep learn base data driven approach develop identifi sourc camera model howev sourc inform learn exist deep learn model abl distinguish individu camera model light vulner prnu fingerprint data driven techniqu paper bring light exist new robust data driven devic specif fingerprint digit imag capabl identifi individu camera model practic forens scenario discov new devic fingerprint locat independ stochast global avail resolv spatial synchron issu unlik prnu resid high frequenc band new devic fingerprint extract low mid frequenc band resolv fragil issu prnu unabl contend experi various dataset also demonstr new fingerprint high resili imag manipul rotat gamma correct aggress jpeg compress
|
D000465;D044962
|
T170;T066
|
36,298,219
|
develop dispos eeg cap infant record neonat intens care unit long term eeg monitor neonat intens care unit nicu challeng find solut set maintain suffici record qualiti limit technic experi current studi evalu differ solut skin electrod interfac develop dispos eeg cap newborn infant sever altern materi skin electrod interfac compar convent gel past conduct textil textur woven conduct velcro spong super absorb hydrogel sah hydro fiber sheet hf comparison includ assess dehydr record signal qualiti skin interphas imped powerlin hz nois select materi test record perform use snap electrod integr forearm sleev forehead band along skin electrod interfac mimic eeg cap aim long term biosign record unprepar skin hydrat test conduct textil velcro perform poor sah hf remain suffici hydrat h incub mimick environ spong materi dehydr first h addit sah found fragil structur electr prone artifact h electr imped record comparison muscl activ result thick layer hf compar convent gel unprepar skin moreov mechan instabl measur hz hz normal relat power spectrum densiti compar clinic eeg record use subderm electrod result togeth suggest thick layer hf skin electrod interfac effect candid prepar free long term record mani advantag long last record qualiti easi use compat sensit infant skin contact
|
D007363;D004569
|
T060;T034;T073;T093
|
36,298,218
|
test homogen coordin various perman gnss refer station network republ serbia accord common requir prove compet valid result obtain within differ perman gnss refer station network gnss network must period control use criteria general known statist analyz prescrib intern standard procedur evalu uncertainti measur defin accord purpos gnss network author paper want point need establish requir period systemat control gnss coordin within perman gnss network control gnss coordin differ perman gnss network measur sameuniqu point ground paper present control procedur three perman gnss refer station network establish oper republ serbia special attent analysi data consist within one perman gnss network mutual consist gnss data differ network paper aim promot relianc differ gnss network contain suggest gnss network may prove perform compet provid valid result field measur particular highlight need plan implement measur relat increas effect gnss system achiev improv result prevent negat effect perform field measur paper present result comparison select accord rule creat digit cadastr map featur ie point line polygon result compar point featur gnss coordin result compar line featur length line ie distanc result compar polygon featur area polygon
|
D040362
|
T170;T073
|
36,298,215
|
sub block urban function recognit integr multi sourc data recognit urban function area ufa great signific understand urban structur urban plan due limit data sourc earli research character problem singular data incomplet result inadequ consider socioeconom environ develop multi sourc big data bring new opportun dynam recognit ufa studi sub block function recognit framework integr multi featur inform build footprint point interest poi data landsat imag propos classifi ufa sub block level use random forest model recognit accuraci singl mix function area core urban area guangzhou china obtain framework found signific higher method overal accuraci oa singl function area higher model research conclus show introduct three dimension featur build finer land cover featur improv recognit accuraci ufa propos method use open access data achiev comprehens result provid practic solut recognit ufa
|
D002958
|
T064
|
36,298,214
|
machin learn base near surfac ozon forecast model planetari boundari layer inform surfac ozon one six air pollut design harm nation ambient air qualiti standard advers impact human health environ thus ozon forecast critic task help peopl avoid danger high ozon concentr convent numer approach well data driven forecast approach studi ozon forecast data driven forecast model particular gain momentum introduct machin learn advanc consid planetari boundari layer pbl height new input featur data driven ozon forecast model pbl shown impact ozon concentr make import factor ozon forecast paper investig effect util pbl height perform surfac ozon forecast present surfac ozon forecast model base multilay perceptron mlp bidirect long short term memori lstm model two model forecast hour ozon concentr upcom h period use two type input data measur data pbl height consid predict valu pbl height obtain weather research forecast wrf model sinc difficult gather actual pbl measur evalu two ozon forecast model term index agreement ioa mean absolut error mae root mean squar error rmse result show mlp base bidirect lstm base model yield lower mae rmse consid forecast pbl height signific chang ioa compar model forecast pbl data use result suggest util forecast pbl height improv forecast perform data driven predict model surfac ozon concentr
|
D010126;D000393;D000397
|
T131;T080;T103;T069
|
36,298,213
|
blind remot sens imag deblur base overlap patch non linear prior remot sens imag environ complex mani factor caus imag blur thus without prior knowledg restor model establish obtain clear imag reli observ blurri imag still build prior extrem pixel longer travers pixel extrem channel featur extract unit patch segment imag partial overlap paper design new prior ie overlap patch non linear opnl prior deriv ratio extrem pixel affect blur patch analysi remot sens imag confirm opnl prior prefer clear imag rather blurri imag restor process complex optim problem increas due introduct opnl prior make imposs solv direct relat solv algorithm establish base project altern minim pam algorithm combin half quadrat split method fast iter shrinkag threshold algorithm fista fast fourier transform fft etc numer experi prove algorithm excel stabil effect obtain competit process result restor remot sens imag
|
D007091;D058998
|
T066
|
36,298,212
|
intellig traffic monitor heterogen autonom network dedic traffic autom direct line evolut technolog also densiti vehicl creat congest often road accid traffic monitor system part integr intellig transport system one critic element within transport infrastructur aspect involv extrem import financi invest order collect analyz traffic data aim design system capabl proper manag traffic technolog progress field wireless communic advanc highlight new traffic monitor solut need major classif propos real time analysi model guid new system challeng address manuscript involv classifi computer detect appli traffic monitor camera outlin extrem vital system futur logist transport analyz debat vehicl classif system examin problem challeng well design softwar project capabl basi new develop field system aim studi outlin method base intellig algorithm improv yolov major impact effort reduc negat impact creat chaotic traffic outlin safeti protocol field transport reduct wait time decongest valid aspect deduc studi carri
|
D000063;D000465
|
T037;T170;T067
|
36,298,210
|
human driven vehicl avoid pedestrian interact environ naturalist drive studi one major challeng autonom vehicl av drive share pedestrian environ av make decis behaviour human like natur encount pedestrian differ cross intent main reason lack natur drive data unclear rational human driven vehicl pedestrian interact paper aim understand under behaviour mechan use data pedestrian vehicl interact naturalist drive studi nds naturalist drive test platform establish collect motion data human driven vehicl pedestrian manual pedestrian intent judgment system first develop judg pedestrian cross intent everi moment interact process total singl pedestrian cross event interest screen pedestrian vehicl interact event naturalist drive condit sever perform metric quantit data includ ttc subject judgment pedestrian cross intent sjpci pedestrian posit cross direct vehicl speed deceler analyz appli evalu human driven vehicl yield behaviour toward pedestrian result show vehicl avoid pedestrian differ interact scenario classifi base vehicl deceler behaviour intent result need futur av enabl av avoid pedestrian natur safe smooth
|
D000069636;D001334
|
T056;T098
|
36,298,209
|
optim task ground base sensor space situat awar use deep reinforc learn space situat awar ssa becom increas challeng prolifer resid space object rsos rang cubesat mega constel sensor within unit state space surveil network task repeat detect character track rsos retain custodi estim attitud major sensor consist ground base sensor narrow field view must slew finit rate one rso anoth observ result complex combinatori problem pose major obstacl ssa sensor task problem work success appli deep reinforc learn drl overcom curs dimension optim task ground base sensor train sever drl agent use proxim polici optim popul base train simul ssa environ drl agent outperform myopic polici object metric rsos state uncertainti number uniqu rsos observ min observ window agent robust chang rso orbit regim observ window length observ locat sensor properti also examin robust drl agent allow appli arbitrari locat scenario
|
D016571;D000465
|
T170
|
36,298,208
|
impact atmospher paramet dielectr permitt valu sikablock rigid polyurethan foam measur capacit one side access sensor shortag research impact atmospher paramet measur dielectr permitt valu rigid polyurethan pu foam identifi therefor impact temperatur pressur relat humid air test room measur valu dielectr permitt rigid pu foam differ densiti well monolith polyurethan investig year long experiment research studi capacit one side access sensor shown relat humid highest correl dielectr permitt valu rigid pu materi detect valu paramet link water vapour mass ambient air correl permitt investig materi determin warm drift warm time spectromet estim experiment novel methodolog demonstr determin true permitt spectrum rigid pu foam without involv environment chamber desicc satur saltwat solut relat increas measur dielectr permitt valu estim numer entir densiti rang rigid pu foam ie kgm includ monolith pu
|
D011140;D013227
|
T122;T197;T109
|
36,298,207
|
simpl effect method measur densiti non newtonian thicken tail slurri hydraul transport extens elazni tail store facil tsf largest europ requir transport larg amount tail eg central area tsf reservoir new southern extens se order use matur fine tail deposit locat clarifi water tsf reservoir thicken process natur sediment decid choos suction dredger collect tail meter water surfac dredger common use extract sand gravel show abil pump fine flotat tail slurri conduct test howev order reduc cost entir oper necessari control densiti slurri articl present prototyp instal measur effici solid phase situ dredg process real time instal design need dredg deposit tail thicken natur sediment process particl size instal consist flow meter densimet section measur head loss flow slurri appli methodolog allow current assess dredger oper paramet translat effect term process effici manag dredger work
|
D000080463;D014867
|
T121;T197
|
36,298,206
|
multipl sclerosi diagnosi use machin learn deep learn challeng opportun multipl sclerosi ms diseas impact central nervous system cns lead brain spinal cord optic nerv problem total million estim suffer ms global new case ms report everi five minut review discuss propos approach diagnos ms use machin learn ml publish numer model develop use differ type data includ magnet reson imag mri clinic data identifi method achiev best result diagnos ms implement approach svm rf cnn moreov discuss challeng opportun ms diagnosi improv ai system enabl research practition enhanc approach improv autom diagnosi ms challeng face autom ms diagnosi includ difficulti distinguish diseas diseas show similar symptom protect confidenti patient data achiev reliabl ml model also easili understood non expert difficulti collect larg reliabl dataset moreov discuss sever opportun field implement secur platform employ better ai solut develop better diseas prognosi system combin one data type better ms predict use oct data diagnosi util larger multi center dataset improv reliabl develop model commerci
|
D009103;D000077321
|
T047;T066
|
36,298,205
|
sram base cim architectur design event detect convolut neural network cnns play key role deep learn applic howev high comput complex high energi consumpt cnns trammel applic hardwar acceler comput memori cim techniqu run calcul entir memori design use sram cim architectur demonstr great potenti effect comput larg scale matrix vector multipl cim base architectur event detect design trigger next stage precis infer implement sram base cim acceler softwar hardwar co design approach must consid cim macro hardwar limit map weight onto ai edg devic paper design hierarch ai architectur optim end end system power aiot applic experi cim awar algorithm bit activ bit weight examin hand gestur cifar dataset determin accuraci respect profil tool analyz propos design also develop measur effici architectur design propos design system util oper frequenc mhz hand gestur cifar dataset nine cnns one fc layer network result frame rate fps process unit util power consumpt mw
|
D016571;D000465
|
T170
|
36,298,204
|
miniatur fold slot cubesat mimo antenna design pattern divers paper fold slot base multipl input multipl output mimo antenna design cube satellit cubesat applic present ultra high frequenc uhf band uniqu combin reactiv load meander slot fold structur present achiev antenna miniatur propos antenna abl oper wide frequenc band mhz moreov pattern divers achiev antenna element placement result good mimo divers perform four element place one unit u cubesat dimens mm mm mm miniatur antenna design pattern divers wide oper band well suit small satellit applic particular cubesat uhf band
|
D059015
|
T073
|
36,298,203
|
fpga appli latenc reduct tactil internet tactil internet applic allow robot devic remot control communic medium unnotic time delay bilater communic accept round trip latenc usual ms ms depend applic requir communic network estim generat total latenc master slave devic produc remain thus paper propos strategi reduc total latenc produc devic strategi use fpgas minim execut time devic associ algorithm mind work present new hardwar refer model modul implement nonlinear posit forc calcul tactil system form two robot manipul addit present implement detail simul experiment test perform order valid hardwar propos model result associ fpga sampl rate throughput latenc post synthesi occup area analyz
|
D014110;D012371
|
T090;T042
|
36,298,202
|
deep hdr deghost motion attent fusion network multi exposur imag fusion mef method high dynam rang hdr imag suffer ghost artifact deal move object dynam scene state art method use optic flow align low dynam rang ldr imag merg introduc distort align ldr imag inaccur motion estim due larg motion occlus place pre align attent base method calcul correl refer ldr imag non refer ldr imag thus exclud misalign region ldr imag nevertheless also exclud satur detail time take advantag align attent base method propos effici deep hdr deghost fusion network ddfnet guid optic flow imag correl attent specif ddfnet estim optic flow ldr imag motion estim modul encod optic flow flow featur addit extract correl featur refer ldr non refer ldr imag optic flow correl featur employ adapt combin inform ldr input attent base fusion modul follow merg featur decod compos dens network reconstruct hdr imag without ghost experiment result indic propos ddfnet achiev state art imag fusion perform differ public dataset
|
D016477
|
T068
|
36,298,201
|
self learn mechan base approach helicopt entri departur recognit order accur record entri departur time helicopt reduc incid general aviat accid paper propos helicopt entri departur recognit method base self learn mechan supplement lightweight object detect modul imag classif modul origin imag data obtain lightweight object detect modul use construct automat selector data auto sd adjust evalu data bias ad edb wherebi auto sd automat generat pseudo cluster origin imag data ad edb perform adjust evalu select best match modul imag classif self learn mechan construct paper appli helicopt entri departur recognit scenario resnet residu network select state classif regard self built helicopt entri departur data set accuraci reach better bound box detect method certain extent strong relianc manual annot helicopt entri departur status classif scenario lift data auto selector continu optim use preorder classif result establish circular learn loop algorithm
|
D000465;D000401
|
T170;T073
|
36,298,199
|
fiber later pressur sensor base vernier effect improv fabri perot interferomet fiber optic pressur sensor surviv psi c develop sensor pressur sensit measur time higher bare fbg test insid stack ultra high molecular weight polyethylen uhmwp composit fabric sensit improv fold vernier effect tini sens length hundr micron uniform outer diamet make suitabl candid real time point pressur monitor harsh environ limit space composit form procedur
|
D007368;D005336
|
T090;T059
|
36,298,198
|
improv track perform maneuv target presenc clutter propos work use fix lag smooth interact multipl model integr probabilist data associ algorithm imm ipda enhanc perform approach make use advantag fix lag smooth algorithm track motion maneuv target surround clutter suggest method provid new mathemat foundat term smooth mode probabl addit target trajectori state target exist state includ smooth advantag suggest fix lag smooth imm ipda fls imm ipda method root mean squar error rmse true track rate ttr mode probabl compar recent algorithm literatur studi result clear show propos algorithm outperform alreadi known method literatur term paramet interest
|
D000465
|
T170
|
36,298,197
|
hard vote polici driven deep learn architectur ensembl strategi industri product defect recognit classif manual tradit industri product inspect defect recognit model limit includ process complex time consum error prone expens issu negat impact qualiti control process therefor effici rapid intellig model requir improv industri product product fault recognit classif optim visual inspect qualiti control howev intellig model obtain tradeoff high accuraci high latenc tedious real time implement inferenc work propos ensembl deep lean architectur framework base deep learn model architectur vote polici comput learn hierarch high level featur industri artefact vote polici formul respect three crucial viabl model characterist model optim effici perform accuraci studi three public avail industri produc dataset use propos model various experi valid process remark result record demonstr signific increas fault recognit classif perform industri product studi three public avail industri produc dataset use propos model various experi valid process remark result record demonstr signific increas fault recognit classif perform industri product
|
D000077321
|
T066
|
36,298,196
|
high capac steganographi algorithm base adapt frequenc channel attent network deep learn becom essenti techniqu imag steganographi current deep learn base steganograph method process digit imag spatial domain problem limit embed capac unsatisfactori visual qualiti improv capac distort perform develop steganograph method frequenc domain perspect propos modul call adapt frequenc domain channel attent network afcanet make full use frequenc featur channel fine grain manner assign weight appli modul state art steganogan form adapt frequenc high capac steganographi generat adversari network afh gan propos neural network enhanc abil high dimension featur extract overlay dens connect convolut block addit low frequenc loss function introduc evalu metric guid train network thus reduc modif low frequenc region imag experiment result divk dataset show method better general capabl compar steganogan substanti improv embed capac stego imag qualiti furthermor embed distribut method dct domain similar tradit method consist prior knowledg imag steganographi
|
D007091;D000465
|
T170;T066
|
36,298,193
|
focus electromobl within smart citi solut charg station renew energi air qualiti monitor paper review exist method charg electr vehicl generat renew energi store plan practic implement citi brno compar situat glasgow moreov essenti pay attent integr solut order increas effici energi harvest charg system combin air qualiti measur system integr led street light collect data sent central server evalu use smart solut modern approach save energi reduc co emiss mani sector exampl describ solut appli dualli civilian militari sector consid potenti benefit easier logist quiet oper potenti militari exploit technolog capabl discuss perspect enhanc citizen secur safeti citi
|
D002245;D000397
|
T123;T197;T069;T080
|
36,298,192
|
deep learn base charact recognit handwrit motion data captur use imu forc sensor digit handwrit most perform use either imag base method optic charact recognit util two devic special stylus smart pad high cost natur approach necessit cheaper standalon smart pen therefor paper deep learn base compact smart digit pen recogn alphanumer charact develop unlik common method employ inerti data handwrit recognit achiev hand motion data captur use inerti forc sensor develop prototyp smart pen compris ordinari ballpoint ink chamber three forc sensor six channel inerti sensor microcomput plastic barrel structur handwritten data charact record six volunt data proper trim restructur use train four neural network use deep learn method includ vision transform vit dnn deep neural network cnn convolut neural network lstm long short term memori vit network outperform other achiev valid accuraci train model valid real time show promis perform result use foundat extend investig includ charact subject
|
D000077321
|
T066
|
36,298,191
|
distribut supervis model enterpris data asset trade base blockchain multi channel industri allianc compar tradit physic commod data intang easi leak relat trade process problem complex particip role lengthi inform flow poor supervisori coverag difficult inform traceabl handl problem construct distribut supervis model data trade base blockchain conduct multi parti hierarch multi dimension supervis whole process data trade collabor supervis event present event first characterist inform flow data trade process analyz main subject key supervis inform data trade process sort refin second combin actual busi process data trade supervis multi channel structur distribut supervis propos adopt access verif traceabl strategi final logic framework supervis model chain hierarch structur data hybrid storag method chain chain design multi supervisor orient hierarch supervis post event traceabl realiz smart contract result show construct blockchain base distribut supervis model data trade effect isol protect sensit privat inform data trade realiz whole process multi subject differenti supervis key inform data trade provid effect feasibl method control safe supervis data trade
|
D000081186
|
T066
|
36,298,189
|
setup analysi mid infrar stand system detect trace explos fabric increas number terrorist attack within last decad demonstr take prevent protect measur high import addit exist measur autom detect system fast reliabl explos detect requir sensit spectroscop system base mid infrar spectroscopi develop appli explos sampl differ type fabric various geometr condit use system trace tnt rdx petn ammonium nitrat detect less second various approach data pretreat wavelength calibr subsequ analysi normal remov atmospher water absorpt line present remain challeng road fulli autom system includ robust classif algorithm discuss
|
D053834
|
T120
|
36,298,187
|
multi object detect secur screen scene base convolut neural network techniqu target detect base convolut neural network wide implement industri howev detect accuraci x ray imag secur screen scenario still requir improv paper propos coupl multi scale featur extract multi scale attent architectur integr architectur singl shot multibox detector ssd algorithm find signific improv effect target detect first resnet use backbon network replac origin vgg network improv featur extract capabl convolut neural network imag second multi scale featur extract mse structur design enrich inform contain multi stage predict featur layer final multi scale attent architectur msa fuse onto predict featur layer elimin redund featur interfer extract effect contextu inform addit combin adapt nms soft nms use output final predict anchor box perform non maximum suppress result experi show improv method improv mean averag precis map valu compar origin approach new modul make detect much accur keep detect speed
|
D007091;D016571
|
T170;T066
|
36,298,186
|
detect diabet retinopathi use extract featur oct imag diabet retinopathi dr major health problem lead vision loss treat earli studi three step system dr detect util optic coher tomographi oct present first propos system segment retin layer input oct imag second featur extract retin layer includ first order reflect thick individu oct layer final backpropag neural network use classifi oct imag experiment studi case confirm advantag propos system relat method achiev accuraci use leav one subject loso cross valid outcom show potenti suggest method dr detect use oct imag
|
D003930;D003920
|
T047
|
36,298,185
|
state health estim base long short term memori network use increment capac transfer learn batteri state health soh estim essenti safeti preserv electr vehicl degrad mechan batteri differ age condit attract consider attent soh predict articl discharg voltag curv earli cycl consid strong characterist cell age therefor batteri age state quantit character increment capac analysi ica voltag distribut due interfer vibrat nois test platform discret wavelet transform dwt method accustom soften premier increment capac curv differ hierarch decomposit analyz batteri age mechan peak curv correspond voltag use character capac decay grey relat analysi gra optim input deep learn model final doubl layer long short term memori network lstm model use train data result demonstr propos model predict soh singl batteri cycl use small batch data relat error less freez lstm layer transfer learn use batteri health estim differ load mode result train verif show method high accuraci reliabl soh estim
|
D008570;D011211
|
T073;T041
|
36,298,184
|
adapt prescrib perform track motion control methodolog robot manipul global finit time stabil paper problem apptmc manipul investig robot oper error state kept within outlin rang ensur steadi state dynam attitud first propos modifi ppfs afterward seri transform error use convert constrain system equival unconstrain one facilit control design modifi ppfs ensur posit track error manag pre design perform domain especi sse boundari symmetr zero transform error zero track error well second modifi nism base transform error allow determin highest accept rang track error steadi state finit time converg index singular elimin third fix time usosmo propos direct estim lump uncertainti fourth astwcl appli deal observ output error chatter final observ base control solut synthes techniqu achiev pcp sens finit time lyapunov stabil addit precis robust well harm chatter reduct propos apptmc improv signific lyapunov theori use analyz stabil close loop system throughout simul propos pptmc shown perform well effect
|
D012371;D065287
|
T061;T090
|
36,298,183
|
simultan multiplex quantif ban sudan dye use surfac enhanc raman scatter chemometr azo compound sudan dye iv frequent use illeg color ad wide rang food compound link number food safeti hazard sever method propos detect food contamin azo compound laboratori base howev develop reliabl portabl method detect quantif food contamin chemic low concentr still need due potenti carcinogen properti studi investig abil surfac enhanc raman scatter ser combin chemometr quantifi sudan iv dye ser spectra acquir use portabl raman devic gold nanoparticl employ ser substrat dye hydrophob first dissolv water acetonitril vv singl sudan dye iv vari concentr ser perform nm spectra analyz use partial least squar regress pls r doubl cross valid coeffici determin q sudan iv respect correspond limit detect lod dye estim next quadruplex mixtur made contain four sudan dye number possibl combin need cover full concentr rang interv would meant collect ser spectra sampl combin use sustain solut base latin hypercub sampl reduc number mixtur analyz collect ser spectra mixtur pls r model bootstrap valid employ result slight wors q sudan iv pls model ie one model one dye employ chang pls model employ ie four dye model simultan result show potenti ser use high throughput low cost reliabl method detect quantifi multipl sudan dye low concentr illeg adulter sampl
|
D013059;D053768
|
T070;T059;T073
|
36,298,180
|
forc feedback methodolog teleoper sutur task robot assist minim invas surgeri robot assist minim invas surgeri rami patient surgeon benefit reduc incis size dexter instrument howev current robot surgeri platform lack haptic feedback essenti element safe oper moreov teleport control challeng make complex surgic task like sutur time consum use manual tool paper present new forc sens instrument semi autom sutur task facilit teleoper robot manipul order generat ideal needl insert trajectori pass needl curvatur end effector mechan rotat degre freedom imped control use provid sensori inform needl tissu interact forc oper use indirect forc estim approach base data base model oper motion command regul use hyperplanar virtual fixtur vf design maintain desir distanc end effector tissu surfac avoid unwant contact construct geometri vf optoelectron sensor base approach develop base experiment investig hyperplan vf methodolog improv needl tissu interact forc manipul accuraci task complet time demonstr final experiment valid train forc estim model perceiv interact forc user conduct use onlin data demonstr potenti develop approach improv task perform
|
D065287;D012371
|
T061;T090
|
36,298,177
|
wind resist mechan anol lizard inspir climb robot stabl oper climb robot expos high wind great signific health monitor structur studi propos anol lizard like climb robot inspir superior wind resist first stabil mechan anol lizard bodi adhes desorpt investig develop adhes desorpt model respect hypothesi anol lizard improv adhes stabil perform abdomin adjust trunk swing test develop simplifi bodi model kinemat model structur toe limb multi stage flexibl torso anol lizard like climb robot design subsequ aerodynam behavior propos robot high speed airflow investig use finit element analysi result show obstacl climb robot generat normal forc enhanc toepad friction adhes tune abdomen shape creat air pressur differ back abdomen obstacl compon forc obtain period oscil spine tail resist frontal wind result vortex path generat airflow behind obstacl result confirm propos hypothesi correct final adhes wind resist perform anol lizard like climb robot test develop experiment platform found adhes forc equal n pre pressur n shown normal pressur propos robot reach weight high wind ms
|
D008116
|
T014
|
36,298,176
|
review ai cloud edg sensor method applic recognit emot affect physiolog state affect emot physiolog state affect detect recognit captur human signal fast grow area appli across numer domain research aim review public techniqu use brain biometr sensor use affect recognit consolid find provid rational current method compar effect exist method quantifi like address issueschalleng field effort achiev key goal societi industri human center design better recognit emot affect physiolog state progress becom import matter offer tremend growth knowledg progress relat field research review affect recognit brain biometr sensor method applic perform base plutchik wheel emot due immens varieti exist sensor sens system studi aim provid analysi avail sensor use defin human affect classifi base type sens area effici real implement base statist multipl criteria analysi across nation outcom introduc connect nation success number web scienc articl publish frequenc citat affect recognit princip conclus present research contribut big pictur field analysi explor forthcom studi trend
|
D004644;D021641
|
T041
|
36,298,175
|
accuraci ground reaction forc muscl activ predict child adapt musculoskelet model background signific advanc digit model worldwid attribut practic applic digit musculoskelet ms model clinic practic howev vast major ms model design assess adult mobil rang suitabl children limit method seventeen healthi cerebr palsi cp children recruit gait measur surfac electromyographi emg ground reaction forc grfs acquir simultan ms model adult adapt child simul anybodi differ measur ms model estim grfs muscl activ evalu use follow method root mean squar error rmse pearson coeffici r statist parametr map spm analysi coincid muscl activ result muscl activ rmse rang mismatch vari coincid rang obtain strong strong correl measur model calcul grfs rmse valu z axe rang conclus child adapt ms model calcul muscl activ grfs suffici accuraci suitabl practic use healthi children children limit mobil
|
D018482;D005684
|
T033;T023;T024
|
36,298,174
|
improv situat awar via situat model base intersect iot sensor social media inform space exist techniqu distil situat awar current focus inform harvest either iot sensor social media benefit fuse inform two distinct inform space achiev enhanc situat awar well understood exist techniqu relat system fuse iot sensor social media inform space current embryon key challeng intersect combin fuse inform space distil high valu situat awar includ devis situat model relat techniqu filter integr fuse spars heterogen iot sensor data social media post provid richer accur situat awar paper propos novel semant base techniqu fuse social media iot sensor inform space comprehens fulli implement system util provid enhanc situat awar specif paper propos design semant base situat model fuse sensor social media inform space present techniqu find similar across inform space fuse social media post iot sensor data generat enhanc situat awar furthermor paper present design implement complet system use propos model techniqu use experiment evalu illustr improv situat awar fuse iot sensor social media inform space
|
D061108
|
T170
|
36,298,173
|
trust awar rout mechan edg node iot enabl sensor network although iot technolog advanc wireless system prone fault attack replay inform rout case multi hop rout led problem ident decept among node devast attack rout protocol well harsh network condit make situat even wors although research literatur aim make iot system trustworthi ensur faultless still challeng task motiv present propos introduc trust awar rout mechan tarm use edg node mobil featur collect data faultless node edg node work base trust evalu method segreg faulti anomal node normal node tarm modifi gray wolf optim gwo use form cluster deploy sensor node cluster form cluster trust valu calcul edg node start collect data trustworthi node via respect cluster head artifici bee coloni optim algorithm execut optim rout path trustworthi node mobil edg node simul show propos method exhibit around hike trustworthi ensur high secur offer propos trust evalu scheme valid similar approach also show detect rate detect untrustworthi node addit accuraci propos method reach record highest among similar latest scheme perform propos approach prove overcom mani weak previous similar techniqu low cost mitig complex
|
D003195;D059015
|
T170;T073;T057
|
36,298,171
|
frequenc modul signal measur use close loop methodolog frequenc modul fm signal wide use sens measur signal detect due strong anti interfer easi transmiss characterist although high precis measur method static signal quit complet high precis measur method dynam fm signal still need studi measur accuraci high sampl system still room improv tradit equal precis measur method wide appli scenario howev accuraci limit quantize error word sampl gate time make difficult improv frequenc measur accuraci ensur high sampl rate time paper high precis feedback frequenc measur system capabl elimin quantize error word propos propos system consist two stage rough measur stage base equal precis measur method precis measur stage base negat feedback track architectur use phase frequenc detector pfd direct digit synthes dds effect feasibl system verifi simul experi sampl rate khz frequenc measur accuraci improv db
|
D003198
|
T066
|
36,298,170
|
edg comput video analyt solut autom plastic bag contamin detect case remondi increas global wast generat rate last decad made wast manag task signific problem one potenti approach adopt global recycl signific portion generat wast howev contamin recycl wast major problem context caus almost recycl wast unus sustain develop effici manag recycl wast huge import reduc wast contamin rate convent manual bin tag approach adopt howev ineffici requir huge labor effort within household wast contamin plastic bag found one main contamin toward autom process plastic bag contamin detect paper propos edg comput video analyt solut use latest artifici intellig ai artifici intellig thing aiot comput vision technolog propos system base idea captur video wast truck hopper process use edg comput hardwar detect plastic bag contamin store contamin relat inform analysi faster r cnn look version yolov deep learn model variant train use remondi contamin dataset rcd develop remondi manual tag histor record overal system evalu term softwar hardwar perform use standard evalu measur ie train perform test perform frame per second fps system usag power consumpt detail analysi yolov cspdarknettini identifi suitabl candid mean averag precis map fps nvidia jetson tx hardwar data collect deploy edg comput hardwar wast collect truck use retrain model improv perform term map fals posit fps fals negat fns true posit tps achiev retrain yolov cspdarknettini backbon model detail cost analysi propos system also provid stakehold polici maker
|
D010969;D018505
|
T068;T167
|
36,298,169
|
predict diagnosi base predictor symptom isol photovolta system use mppt charg regul work new result present implement predict diagnosi techniqu isol photovolta pv system instal novelti introduc research focus addit advantag obtain point view predict diagnosi fault caus partial shade isol pv instal use maximum power point track mppt regul mppt regul compar appropri puls width modul pwm solar regul order implement fault diagnosi system mppt regul physic separ electr paramet belong part solar panel respect batteri part therefor electr paramet use obtain earli predict symptom effect partial shade greater level observ sensit addit modif propos pv system assembl obtain greater homogen panel regard solar irradi recept angl
|
D012993
|
T070
|
36,298,168
|
electr theft detect smart grid use hybrid bigru bilstm model featur engin base preprocess paper defus decis boundari render misclassif issu due presenc cross pair investig cross pair retain cumul attribut class misguid classifi due defus data sampl natur tackl problem defus data tomek link techniqu target cross pair major class remov result affin segreg decis boundari order cope theft case scenario theft data ascertain synthes random use six theft data variant theft data variant benign class appertain data sampl modifi manipul synthes malici sampl furthermor k mean minor oversampl techniqu use tackl class imbal issu addit enhanc detect classifi abstract featur engin use stochast featur engin mechan moreov carri affin train model balanc data input order mitig class imbal issu integr hybrid model consist bi direct gate recurr unit bi direct long term short term memori classifi consum effici afterward robust perform model verifi use attack vector subject interven model effici integr howev propos model perform effici unseen attack vector
|
D013800;D004560
|
T055;T070
|
36,298,167
|
bear fault diagnosi hot roll mill util intellig optim self adapt deep belief network limit sampl given complex oper condit roll bear actual roll process hot mill difficulti collect data pertin fault bear comprehens paper propos approach diagnos fault roll mill bear employ improv sparrow search algorithm deep belief network isaa dbn limit data sampl first fast spectral kurtosi approach adopt convert non stationari origin vibrat signal collect acceler sensor instal axial radial end roll mill bear two dimension spectral kurtosi time frequenc imag higher featur recognit princip compon analysi pca techniqu use decreas dimens data order achiev high diagnosi rate limit number sampl subsequ sparrow search algorithm ssa use realiz intellig optim self adapt function deep belief network dbn furthermor firefli disturb algorithm employ improv spatial search capabl robust ssa dbn order achiev better perform issa dbn method final propos approach experiment compar approach use diagnosi result show propos approach retain use featur data dimens reduct also improv effici diagnosi achiev highest diagnosi accuraci limit data sampl addit optim posit sensor diagnos roll mill roll fault identifi
|
D000465;D014732
|
T170;T070
|
36,298,165
|
smart home support well one two person household reduct face face contact increas time spent home ongo coronavirus diseas pandem result increas interest demand smart home rapid increas number one person two person household korea recent led becom repres household type studi identifi well characterist household propos direct smart home develop help lead healthi happi live focus map resid percept experi scenario identifi function requir smart home technolog need provid function use data survey investig analyz well characterist one two person household five dimens develop five scenario repres household type analyz develop scenario studi propos smart home support well household six categori exercisesport hobbyentertain social communic occupationwork self developmenteduc energi conserv household expos digit environ earli age familiar internet technolog therefor like adopt innov technolog hous thus smart home develop propos studi promis strateg approach hous plan
|
D006798;D006304
|
T073;T080
|
36,298,164
|
scientometr analysi artifici intellig ai geohazard research geohazard prevent mitig high complex remain challeng research practition artifici intellig ai becom effect tool address challeng therefor decad increas number research begun conduct ai research field geohazard lead rapid growth number relat paper made difficult research practition grasp inform cut edg develop field thus necessit comprehens review analysi current state develop field studi comprehens scientometr analysi apprais state art research geohazard perform base scientometr record web scienc core collect databas multipl type scientometr techniqu includ coauthor analysi co citat analysi cluster analysi employ identifi product research institut hot research topic result show research relat applic ai field geohazard experienc period rapid growth major develop field occur china unit state itali hot research topic field ground motion deep learn dl landslid common use ai algorithm includ dl support vector machin svm decis tree dt obtain visual research network offer valuabl insight depth understand key research institut fundament articl salient topic anim map believ scientometr review offer use refer point earli stage research provid valuabl depth inform experienc research practition field geohazard research scientometr analysi visual promis reflect global pictur ai base geohazard research comprehens possess potenti visual emerg trend research field
|
D001185;D012108
|
T090;T097;T073;T066
|
36,298,163
|
mimo antenna design approach techniqu applic excess use digit platform rapid increas user wireless domain enforc communic system provid inform high data rate high reliabl strong transmiss connect qualiti wireless system singl antenna element abl accomplish desir need therefor multipl input multipl output mimo antenna get attent modern high speed communic system play essenti part current generat wireless technolog howev along abil signific increas channel capac challeng achiev optim isol compact size fifth generat g termin portabl devic automobil handheld gadget smart phone wireless sensor radio frequenc identif applic use mimo antenna system review paper fundament mimo antenna perform paramet mimo antenna differ design approach methodolog discuss realiz three common use mimo antenna ie ultra wideband uwb dual band circular polar antenna recent mimo antenna design approach uwb dual band circular polar characterist compar term isol techniqu gain effici envelop correl coeffici ecc channel capac loss ccl paper help design suitabl mimo antenna applic uwb system satellit communic system gsm bluetooth wimax wlan mani issu mimo antenna system indoor environ along possibl solut improv perform discuss paper also focus applic mimo characterist futur sixth generat g technolog
|
D059015
|
T073
|
36,298,162
|
instabl monitor numer analysi typic coal mine southwest china base ds insar coal mine southwest china locat mountain area high veget coverag activ carri mountain deform monitor mechan behavior analysi mine area help reveal typic mountain deform failur mechan caus underground mine activ reduc risk mountain collaps mine area manuscript research method mountain stabil mine area propos combin insar deform monitor numer analysi base high precis deform inform obtain ds insar landslid rang three dimension explicit finit differ numer analysi method use reconstruct landslid model accord layout coal mine work face variat mechan over stratum stress mountain slip coal mine process invert mechan mountain failur instabl mine area analys base sentinel data experi perform time seri monitor invers analysi mountain collaps nayong guizhou china result show mine activ certain distanc mountain affect mountain stabil specif mechan stress redistribut over strata goaf area result dens longitudin crack landslid bodi due coal mine mountain continu damag state support forc prevent collaps continu decreas result gradual decreas landslid stabil time seri ds insar monitor result numer simul result verifi actual occurr develop site subsid
|
D003032
|
T090
|
36,298,161
|
develop obes inform diagnosi model reflect bodi type inform use bodi inform valu studi use various bodi valu length circumfer volum deriv data determin variabl area substanti affect obes suggest guidelin diagnos obes elabor exist obes indic bodi data particip men women age year collect chest abdomen hip armsleg scanner produc accur bodi point result dual energi x ray dexa accur determin fat percentag use deriv fat rate bodi part fat percentag total fat percentag bodi part use learn data deriv data eigenvalu bodi part deriv use princip compon analysi follow four cluster creat part underweight normal overweight obes comparison obes index diagnos obes base cluster model show accuraci model propos studi higher therefor model determin bodi inform necessari accur obes diagnosi use diagnos obes greater accuraci obes indic without bodi fat measur machin dexa
|
D013008;D001823
|
T033;T032
|
36,298,160
|
composit multiscal transit permut entropi base fault diagnosi bear consid transit probabl matrix ordin pattern transit permut entropi tpe effect extract fault featur quantifi irregular complex signal howev tpe character complex vibrat signal singl scale therefor multiscal transit permut entropi mtpe techniqu propos howev origin multiscal method still inher defect coars grain process consider shorten length time seri larg scale lead low entropi evalu accuraci order solv problem composit multiscal transit permut entropi cmtpe method propos order improv incomplet coars grain analysi mtpe avoid loss key inform origin fault signal improv perform featur extract robust nois accuraci entropi estim fault diagnosi strategi base cmtpe extrem learn machin elm propos simul experiment signal verifi advantag propos cmtpe method result show compar comparison strategi strategi better robust carri featur recognit bear fault diagnosi accur improv stabil
|
D004569;D000465
|
T060;T170;T034
|
36,298,159
|
temperatur field reconstruct use optic frequenc domain reflectometri machin learn algorithm present experiment result reconstruct temperatur field surfac mm sensor panel base distribut frequenc shift measur optic backscatt reflectomet linear regress feed forward neural network algorithm train vari temperatur field captur thermal imag panel use reconstruct approach use inform exact trajectori fiber materi properti sensor panel temperatur sensit coeffici fiber mean absolut error c c achiev case linear regress feed forward neural network respect
|
D000069550;D000465
|
T170;T066
|
36,298,158
|
practic approach analysi optim neural network embed system exponenti increas internet data pose sever challeng cloud system data center scalabl power overhead network load data secur overcom limit research focus develop edg comput system ie base distribut comput model data process occur close possibl data collect edg comput inde mitig limit cloud comput implement artifici intellig algorithm direct embed devic enabl low latenc respons without network overhead high cost improv solut scalabl today hardwar improv edg devic make capabl perform even constraint complex comput requir deep neural network nevertheless effici implement deep learn algorithm devic limit comput power necessari minim product time quick identifi deploy necessari optim best neural network solut studi focus develop univers method identifi port best neural network edg system valid regardless devic neural network task typolog method base three step trade step obtain best neural network within differ solut investig optim step find best configur paramet differ acceler techniqu eventu explain step use local interpret model agnost explan lime provid global approach quantifi good classifi decis criteria evalu sever mobilenet fudan shangai tech dataset test propos approach
|
D001185;D016571
|
T090;T170;T073;T066
|
36,298,157
|
automat placement visual sensor smart space ensur requir ppm level specifi region interest work devot cost effect method automat placement visual sensor within smart room ensur requir design various uniqu condit make process manual place sensor time consum also lead decreas system effici autom design process solv multi object optim problem known art galleri problem modifi follow specifi region interest within smart room requir pixel per meter level ppm ensur optim criteria visibl room cost equip meet criteria describ room model door window obstacl repres way consid impact field view sensor model sensor placement genet algorithm use optim solut select pareto front mean techniqu order prefer similar ideal solut topsi develop method effect test model real premis various type method flexibl assign weight certain aspect place sensor scalabl type sensor
|
D011880
|
T061
|
36,298,156
|
method extract deby paramet tool monitor water contamin soil soil monitor key topic sever perspect moistur level control irrig manag anti contamin purpos monitor latter becom even import due increas environment pollut direct consequ strong demand innov monitor system low cost provid quasi real time situ monitor high sensit adequ accuraci start consider paper address implement microwav reflectometri base system util custom bifilar probe miniatur vector network analyz vna main object relat frequenc domain fd measur featur interest water content andor percentag pollut substanc innov automat procedur retriev deby dielectr paramet soil differ condit result studi confirm potenti microwav reflectometri moistur monitor contamin detect
|
D014867;D004787
|
T121;T197;T069
|
36,298,154
|
design space explor cluster spars connect mpsoc platform heterogen multiprocessor platform foundat system requir high comput power combin low energi consumpt like iot mobil robot paper present five new algorithm design space explor platform element group cluster connect platform favor electr properti lower product cost limit interconnect inabl heterogen platform element execut type task signific decreas chanc find feasibl map applic platform base new algorithm non domin sort genet algorithm ii nsga ii meta heurist previous publish sdse map algorithm design fulli interconnect multiprocessor platform aim improv chanc find feasibl solut spars connect platform modifi part search process concern penal infeas solut chromosom decod map strategi due lack adequ exist benchmark propos synthet benchmark multipl applic platform model believ easili extend reus research studi type platform experi show four propos algorithm find feasibl solut test case platform dedic cluster case tile like platform four algorithm show averag success rate one algorithm go
|
D000465;D013026
|
T170;T057
|
36,298,153
|
influenc composit thick ultrason guid wave propag damag detect paper propag properti ultrason guid wave ugw differ thick composit ie mm critic assess effect damag detect localis vari temperatur demonstr diagnost film phase array lead zircon titan pzt transduc base ink jet print techniqu use experi initi dispers curv composit compar next effect composit thick mode amplitud group veloc investig activ sens next behaviour ugw vari temperatur differ thick plate also investig final surfac mount artifici damag impact damag detect locat differ composit
|
D014465;D014159
|
T070;T074
|
36,298,152
|
experiment ultrasound system qualit tomograph imag advanc new promis techniqu field biomed imag alway paramount research communiti recent ultrasound tomographi prove good candid non invas safe diagnost particular breast cancer imag may benefit approach frequent screen earli diagnosi requir decreas system size cost compar convent imag techniqu furthermor major advantag approach consist oper independ featur desir compar convent hand held ultrasound imag framework author present imag result experiment campaign acquir via hous ultrasound tomograph system design built univers napl parthenop imag perform evalu via differ test show good potenti structur inform retriev studi repres first proof concept order valid system consid realist case near futur applic
|
D014054;D014057
|
T060
|
36,298,149
|
design synchron track adapt control bilater teleoper system time vari delay perform posit synchron forc interact teleoper system provid safe effici way oper perform task remot hazard environ practic howev communic delay dynam uncertainti impair perform posit synchron control factor necessari studi design appropri bilater control method achiev stabl effect posit synchron control paper new adapt control architectur base veloc feedback filter radial basi function neural network propos propos control scheme posit signal transmit communic process speed feedback filter compens method design adopt avoid use acceler signal addit new auxiliari variabl track error integr term use reduc steadi state error posit track nonzero extern environment forc use lyapunov krasovskii method stabil close loop remot oper system demonstr simul experi section algorithm verifi separ compar algorithm result master slave robot system verifi track perform propos control scheme
|
D016571;D000465
|
T170
|
36,298,148
|
applic distribut optic fiber sens technolog detect monitor intern swell patholog massiv concret block paper present experiment applic distribut optic fiber sensor dof structur health monitor shm concret structur affect intern swell patholog framework larg research project aim assess possibl extens oper lifetim nuclear power plant year massiv block cast reactiv concret mixtur intend develop delay ettringit format alkali silica reaction block subject specif age condit initi acceler concret patholog block instrument dof bond surfac embed concret use interrog devic base rayleigh backscatt suitabl procedur elimin temperatur effect distribut strain measur perform differ time interv first result ongo studi made possibl demonstr feasibl effect sens technolog detect monitor expans induc swell patholog repres scale concret structur
|
D055100;D055848
|
T073
|
36,298,147
|
noninvas non contact spo monitor use integr polar sens cmos imag sensor diagnosi primari health care individu estim puls rate blood oxygen satur spo critic puls rate spo determin method includ photoplethysmographi ippg light spectroscopi puls oximetri devic need compact non contact noninvas real time health monitor reflect base ippg becom popular allow non contact estim heart rate spo ippg method captur tempor data form complex comput thus real time measur spatial visual difficult
|
D010092;D017156
|
T060;T059
|
36,298,146
|
navig system logist inspect robot base multi sensor fusion complex storag environ reliabl realiz function autonom navig cruis logist robot complex logist storag environ paper propos new robot navig system base vision multilin lidar inform fusion ensur rich inform accur map edg also meet real time accur posit navig complex logist storag scenario simul practic verif show robot navig system feasibl robust overcom problem low precis poor robust weak portabl difficult expans mobil robot system complex environ provid new idea inspect actual logist storag scenario good prospect applic
|
D012371
|
T090
|
36,298,145
|
collabor damag detect framework rail structur base multi agent system embed soft multi function sensor rapid growth railway china focus chang mainten larg scale rail structur multi agent system mass base wireless sensor network wsns soft multi function sensor smfs adopt cooper structur health monitor larg scale rail structur mas framework three layer name sens data acquisit layer sensor data process layer applic layer built collabor data collect process rail structur wsn node strain temperatur piezoelectr sensor unit develop continu structur health monitor rail structur featur data differ level extract onlin monitor rail structur experi carri rail transmit base east china jiaotong univers verifi wsn node smfs success assembl onto long track damag detect base sens data featur data neural network data fusion agent dfa appli calcul damag index valu track comprehens decis regard rail damag use wsns multi function sensor intellig algorithm recommend cooper structur health monitor railway
|
D059015;D016571
|
T170;T073
|
36,298,144
|
explain machin learn base character abnorm cortic activ work memori restless leg syndrom patient restless leg syndrom rls sensorimotor disord accompani strong urg move leg unpleas sensat leg known accompani prefront dysfunct aim clarifi neural mechan work memori deficit associ rls use machin learn base analysi singl trial neural activ convolut neural network classifi develop discrimin cortic activ rls patient normal control layer wise relev propag appli train classifi order determin critic node input layer output decis ie timeloc cortic activ discrimin rls patient normal control work memori task method provid high classif accuraci singl trial event relat potenti known suffer high inter trialint subject variat low signal nois ratio strict separ trainingtestvalid data accord leav one subject cross valid determin critic area overlap cortic substrat work memori neural activ area correl signific clinic score rls
|
D012148
|
T047
|
36,298,142
|
plasmon refract index temperatur sensor base graphen linbo high effici dual purpos plasmon perfect absorb sensor base linbo graphen layer investig paper refract index thermal sens sensor design kept simpl easi fabric compris linbo substrat quartz layer thin layer graphen four gold nanorod nanocav unit cell nanocav locat middl cell facilit penetr em energi subsurfac layer propos sensor design achiev output respons reflect easi detect without special condit oper perform devic numer investig biomed refract index rang yield sensit valu nmriu figur merit riu includ addit polydimethylsiloxan polym function layer top devic also test thermal sensor yield sensit level nmc
|
D012031;D006108
|
T081;T196;T059;T109
|
36,298,141
|
secur concern mmo game analysi potent applic layer ddos threat applic layer internet protocol suit offer signific degre freedom regard orchestr distribut denial servic attack due mani differ unstandard protocol primari focus defend applic layer distribut denial servic attack tradit hypertext transfer protocol orient observ individu user action independ one anoth paper present analyz novel applic layer ddos attack massiv multiplay onlin game util cooper effort attack deplet server player bandwidth attack exploit game depend player caus massiv spike bandwidth attack traffic remain legitim introduc multiplay relat graph model user behavior game server addit demonstr attack devast capabl emul world warcraft server last discuss flaw exist defens mechan possibl approach detect attack use graph theori multiplay relat graph
|
D018910
|
T073
|
36,298,140
|
qualit quantit detect food adulter use smart e nose food adulter serious problem found food industri harm peopl health undermin belief present studi focus design develop smart electron nose se nose qualit quantit fast track detect food adulter se nose methodolog compris dataset sampl slice window protocol normal pattern recognit output block dataset pork adulter beef use valid se nose methodolog sampl slice window protocol extract earli part signal sampl slice window protocol pattern recognit model classif regress model togeth achiev high perform fast track detect pork adulter beef classif model qualit analysi adulter measur regress model quantit analysi adulter measur accuraci rmse achiev svm classif regress model recognit time detect pork adulter beef svm model propos se nose methodolog recognit time reduc one third valid classif regress model fold cross valid method use
|
D062609;D005506
|
T068;T073;T067
|
36,298,139
|
augment realiti serious game learn intellig wheelchair control compar configur track method work propos augment realiti serious game arsg support individu motor disabl control robot wheelchair race track use game narrat includ restrict area static dynam virtual object well obstacl sign experi game prior configur environ made smartphon comput requir furthermor visual tool develop exhibit user perform use arsg two user studi conduct particip respect compar differ devic enabl configur arsg differ track capabl ie method use place virtual content real world environ user interact game control wheelchair physic space c motion track use cloud anchor c offlin motion track result suggest configur environ comput effici accur contrast smartphon character engag addit condit c stood accur robust condit c appear easier use
|
D014910;D000081411
|
T074;T170
|
36,298,138
|
studi detect recognit traffic light base improv yolov resolv issu deep backbon network larg model slow reason speed mobil termin low detect accuraci small target difficulti detect recogn traffic light real time accur yolov traffic light recognit method base improv yolov propos lightweight shufflenetv network util replac cspdarknet network yolov satisfi requir mobil termin reform k mean cluster algorithm appli generat anchor box avoid sensit issu outlier initi valu novel attent mechan name cs ad enhanc extract capabl effect featur multipl data augment method combin improv general abil model ultim detect recognit traffic light realiz tld dataset select train test prove recognit accuraci model size great optim meanwhil self made dataset select train test compar convent yolov recognit accuraci propos algorithm traffic light state inform increas model size decreas appropri scene select real vehicl test result demonstr detect speed present algorithm increas recognit effect small target increas comparison convent yolov
|
D000465
|
T170
|
36,298,137
|
prune communic bandwidth reinforc learn agent causal infer innov approach design smart grid power system electr demand increas signific tradit power grid system face huge challeng desir next generat power grid system smart grid provid secur reliabl power generat consumpt also realiz system coordin intellig power distribut coordin grid power distribut usual requir mutual communic power distributor accomplish coordin howev power network complex network node far apart communic bandwidth often expens therefor reduc communic bandwidth cooper power distribut process task crucial import one way tackl problem build mechan select send communic allow distributor send inform certain moment key state distributor power grid model reinforc learn agent communic bandwidth power grid reduc optim communic frequenc agent therefor paper propos model decid whether communic base causal infer method causal infer communic model cicm cicm regard whether communic binari intervent variabl determin intervent effect estim individu treatment effect ite offer optim communic strategi whether send inform ensur task complet method effect reduc communic frequenc grid distributor time maxim power distribut effect addit test method starcraft ii environ habit experi fulli prove effect method
|
D003195;D004560
|
T170;T070;T073;T057
|
36,298,136
|
research maritim object detect method foggi environ base improv model src yolo improv maritim object detect algorithm src yolo base yolov tini propos foggi environ address issu fals detect miss detect low detect accuraci complic situat confirm model valid ocean dataset contain various concentr haze target angl size produc research first singl scale retinex ssr algorithm appli preprocess dataset reduc interfer complex scene ocean second order increas model recept field employ modifi recept field block rfb modul place standard convolut neck part model final convolut block attent modul cbam integr channel spatial inform introduc rais detect perform expand network model attent context inform featur map object locat point experiment result demonstr improv src yolo model effect detect marin target foggi scene increas mean averag precis map detect result
|
D016571;D000465
|
T170
|
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