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10.1007/978-0-387-21706-2
10.1007/978-0-387-21706-2
Modern Applied Statistics with S
2,002
2002
book
Springer New York
Statistics and Computing
null
null
null
1431-8784
9781441930088, 9780387217062
W. N. Venables, B. D. Ripley
2
null
17,377
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http://www.springer.com/tdm
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https://doi.org/10.1007/978-0-387-21706-2
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null
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ddoBlDbs2z6nCWTNT
10.1021/cr9904009
10.1021/cr9904009
Quantum Mechanical Continuum Solvation Models
2,005
2005-08-01
journal-article
American Chemical Society (ACS)
Chemical Reviews
105
8
2999-3094
0009-2665, 1520-6890
null
Jacopo Tomasi, Benedetta Mennucci, Roberto Cammi
3
Dipartimento di Chimica e Chimica Industriale, Università di Pisa, Via Risorgimento 35, 56126 Pisa, Italy, and Dipartimento di Chimica, Università di Parma, Viale delle Scienze 17/A, 43100 Parma, Italy
16,221
920
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null
null
null
https://doi.org/10.1021/cr9904009
null
null
null
en
gfIJCMH8LKbnDMIB7
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10.1038/nmeth.2109
10.1038/nmeth.2109
jModelTest 2: more models, new heuristics and parallel computing
2,012
2012-08
journal-article
Springer Science and Business Media LLC
Nature Methods
9
8
772-772
1548-7091, 1548-7105
null
Diego Darriba, Guillermo L Taboada, Ramón Doallo, David Posada
4
null
14,776
5
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https://www.springernature.com/gp/researchers/text-and-data-mining
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null
https://doi.org/10.1038/nmeth.2109
https://www.nature.com/articles/nmeth.2109.pdf
null
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10.1038/nature04235
10.1038/nature04235
Experimental observation of the quantum Hall effect and Berry's phase in graphene
2,005
2005-11
journal-article
Springer Science and Business Media LLC
Nature
438
7065
201-204
0028-0836, 1476-4687
null
Yuanbo Zhang, Yan-Wen Tan, Horst L. Stormer, Philip Kim
4
null
12,527
20
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http://www.springer.com/tdm
null
null
https://doi.org/10.1038/nature04235
http://www.nature.com/articles/nature04235.pdf
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10.1093/oso/9780198551683.001.0001
10.1093/oso/9780198551683.001.0001
Atoms in Molecules
1,990
1990-12-13
edited-book
Oxford University PressOxford
null
null
null
null
null
9780198551683, 9781383028355
Richard F W Bader
1
Department of Chemistry, McMaster University, Ontario, Canada
12,516
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null
https://doi.org/10.1093/oso/9780198551683.001.0001
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Abstract The molecular structure hypothesis - that a molecule is a collection of atoms linked by a network of bonds - was forged in the crucible of nineteenth-century experimental chemistry and has continued to serve as the principal means of ordering and classifying the observations of chemistry. There is a difficulty...
null
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gfIJCMH8LKbnDMIB7
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10.1103/physrev.47.777
10.1103/physrev.47.777
Can Quantum-Mechanical Description of Physical Reality Be Considered Complete?
1,935
1935-05-15
journal-article
American Physical Society (APS)
Physical Review
47
10
777-780
0031-899X
null
A. Einstein, B. Podolsky, N. Rosen
3
Institute for Advanced Study, Princeton, New Jersey
12,330
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https://link.aps.org/licenses/aps-default-license
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https://doi.org/10.1103/physrev.47.777
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10.1215/9780822388128
10.1215/9780822388128
Meeting the Universe Halfway
2,006
2006
edited-book
Duke University Press
null
null
null
null
null
9780822388128, 9780822339014
Karen Barad
1
null
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null
null
https://doi.org/10.1215/9780822388128
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10.1103/physrevlett.70.1895
10.1103/physrevlett.70.1895
Teleporting an unknown quantum state via dual classical and Einstein-Podolsky-Rosen channels
1,993
1993-03-29
journal-article
American Physical Society (APS)
Physical Review Letters
70
13
1895-1899
0031-9007
null
Charles H. Bennett, Gilles Brassard, Claude Crépeau, Richard Jozsa, Asher Peres, William K. Wootters
6
null
11,994
19
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http://link.aps.org/licenses/aps-default-license
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https://doi.org/10.1103/physrevlett.70.1895
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10.1021/ja00299a024
10.1021/ja00299a024
Development and use of quantum mechanical molecular models. 76. AM1: a new general purpose quantum mechanical molecular model
1,985
1985-06
journal-article
American Chemical Society (ACS)
Journal of the American Chemical Society
107
13
3902-3909
0002-7863, 1520-5126
null
Michael J. S. Dewar, Eve G. Zoebisch, Eamonn F. Healy, James J. P. Stewart
4
null
11,838
0
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null
null
https://doi.org/10.1021/ja00299a024
null
null
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gfIJCMH8LKbnDMIB7
ddoBlDbs2z6nCWTNT
10.1093/jee/18.2.265a
10.1093/jee/18.2.265a
A Method of Computing the Effectiveness of an Insecticide
1,925
1925-04-01
journal-article
Oxford University Press (OUP)
Journal of Economic Entomology
18
2
265-267
1938-291X, 0022-0493
null
W. S. Abbott
1
null
11,042
0
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null
null
https://doi.org/10.1093/jee/18.2.265a
http://academic.oup.com/jee/article-pdf/18/2/265/19183043/jee18-0265a.pdf
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10.1126/science.271.5251.933
10.1126/science.271.5251.933
Semiconductor Clusters, Nanocrystals, and Quantum Dots
1,996
1996-02-16
journal-article
American Association for the Advancement of Science (AAAS)
Science
271
5251
933-937
0036-8075, 1095-9203
null
A. P. Alivisatos
1
The author is in the Department of Chemistry, University of California, and Materials Sciences Division, Lawrence Berkeley Laboratory, Berkeley, CA 94720, USA.
10,582
31
true
null
null
null
https://doi.org/10.1126/science.271.5251.933
null
Current research into semiconductor clusters is focused on the properties of quantum dots—fragments of semiconductor consisting of hundreds to many thousands of atoms—with the bulk bonding geometry and with surface states eliminated by enclosure in a material that has a larger band gap. Quantum dots exhibit strongly si...
null
en
gfIJCMH8LKbnDMIB7
ddoBlDbs2z6nCWTNT
10.1021/cr030698+
10.1021/cr030698+
Gold Nanoparticles: Assembly, Supramolecular Chemistry, Quantum-Size-Related Properties, and Applications toward Biology, Catalysis, and Nanotechnology
2,004
2004-01-01
journal-article
American Chemical Society (ACS)
Chemical Reviews
104
1
293-346
0009-2665, 1520-6890
null
Marie-Christine Daniel, Didier Astruc
2
Molecular Nanosciences and Catalysis Group, LCOO, UMR CNRS No. 5802, Université Bordeaux I, 33405 Talence Cedex, France
10,370
833
true
null
null
null
https://doi.org/10.1021/cr030698+
null
null
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gfIJCMH8LKbnDMIB7
ddoBlDbs2z6nCWTNT
10.1023/b-stco.0000035301.49549.88
10.1023/b:stco.0000035301.49549.88
A tutorial on support vector regression
2,004
2004-08
journal-article
Springer Science and Business Media LLC
Statistics and Computing
14
3
199-222
0960-3174, 1573-1375
null
Alex J. Smola, Bernhard Schölkopf
2
null
10,181
137
true
https://www.springernature.com/gp/researchers/text-and-data-mining
null
null
https://doi.org/10.1023/b:stco.0000035301.49549.88
https://link.springer.com/content/pdf/10.1023/B:STCO.0000035301.49549.88.pdf
null
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gfIJCMH8LKbnDMIB7
ddoBlDbs2z6nCWTNT
10.1145/331499.331504
10.1145/331499.331504
Data clustering
1,999
1999-09
journal-article
Association for Computing Machinery (ACM)
ACM Computing Surveys
31
3
264-323
0360-0300, 1557-7341
null
A. K. Jain, M. N. Murty, P. J. Flynn
3
Michigan State Univ., East Lansing
9,716
205
true
https://www.acm.org/publications/policies/copyright_policy#Background
null
null
https://doi.org/10.1145/331499.331504
null
Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). The clustering problem has been addressed in many contexts and by researchers in many disciplines; this reflects its broad appeal and usefulness as one of the steps in exploratory data analys...
null
en
gfIJCMH8LKbnDMIB7
ddoBlDbs2z6nCWTNT
10.1021/jp9716997
10.1021/jp9716997
Quantum Calculation of Molecular Energies and Energy Gradients in Solution by a Conductor Solvent Model
1,998
1998-03-01
journal-article
American Chemical Society (ACS)
The Journal of Physical Chemistry A
102
11
1995-2001
1089-5639, 1520-5215
null
Vincenzo Barone, Maurizio Cossi
2
Dipartimento di Chimica, Università Federico II, via Mezzocannone 4, I-80134 Napoli, Italy
9,637
42
true
null
null
null
https://doi.org/10.1021/jp9716997
null
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gfIJCMH8LKbnDMIB7
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10.1103/physrevlett.67.661
10.1103/physrevlett.67.661
Quantum cryptography based on Bell’s theorem
1,991
1991-08-05
journal-article
American Physical Society (APS)
Physical Review Letters
67
6
661-663
0031-9007
null
Artur K. Ekert
1
null
9,337
11
true
http://link.aps.org/licenses/aps-default-license
null
null
https://doi.org/10.1103/physrevlett.67.661
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10.1145/1541880.1541882
10.1145/1541880.1541882
Anomaly detection
2,009
2009-07
journal-article
Association for Computing Machinery (ACM)
ACM Computing Surveys
41
3
1-58
0360-0300, 1557-7341
null
Varun Chandola, Arindam Banerjee, Vipin Kumar
3
University of Minnesota, Minneapolis, MN
9,319
360
true
https://www.acm.org/publications/policies/copyright_policy#Background
Advanced Cyberinfrastructure, National Science Foundation, National Aeronautics and Space Administration, Division of Information and Intelligent Systems, Division of Computer and Network Systems
10.13039/100007523, 10.13039/100000001, 10.13039/100000104, 10.13039/100000145, 10.13039/100000144
https://doi.org/10.1145/1541880.1541882
null
Anomaly detection is an important problem that has been researched within diverse research areas and application domains. Many anomaly detection techniques have been specifically developed for certain application domains, while others are more generic. This survey tries to provide a structured and comprehensive overvie...
null
en
gfIJCMH8LKbnDMIB7
ddoBlDbs2z6nCWTNT
10.1103/revmodphys.81.865
10.1103/revmodphys.81.865
Quantum entanglement
2,009
2009-06-17
journal-article
American Physical Society (APS)
Reviews of Modern Physics
81
2
865-942
0034-6861, 1539-0756
null
Ryszard Horodecki, Paweł Horodecki, Michał Horodecki, Karol Horodecki
4
null
9,114
705
true
http://link.aps.org/licenses/aps-default-license
null
null
https://doi.org/10.1103/revmodphys.81.865
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gfIJCMH8LKbnDMIB7
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10.1109/mcse.2011.37
10.1109/mcse.2011.37
The NumPy Array: A Structure for Efficient Numerical Computation
2,011
2011-03
journal-article
Institute of Electrical and Electronics Engineers (IEEE)
Computing in Science & Engineering
13
2
22-30
1521-9615, 1558-366X
null
Stefan van der Walt, S. Chris Colbert, Gael Varoquaux
3
Stellenbosch University
9,092
2
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https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html
null
null
https://doi.org/10.1109/mcse.2011.37
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gfIJCMH8LKbnDMIB7
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10.1137/0907058
10.1137/0907058
GMRES: A Generalized Minimal Residual Algorithm for Solving Nonsymmetric Linear Systems
1,986
1986-07
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Society for Industrial & Applied Mathematics (SIAM)
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7
3
856-869
0196-5204, 2168-3417
null
Youcef Saad, Martin H. Schultz
2
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8,732
12
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null
null
null
https://doi.org/10.1137/0907058
null
null
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10.1093/mind/lix.236.433
10.1093/mind/lix.236.433
I.—COMPUTING MACHINERY AND INTELLIGENCE
1,950
1950-10-01
journal-article
Oxford University Press (OUP)
Mind
LIX
236
433-460
1460-2113, 0026-4423
null
A. M. TURING
1
null
8,669
10
true
null
null
null
https://doi.org/10.1093/mind/lix.236.433
https://academic.oup.com/mind/article-pdf/LIX/236/433/61209000/mind_lix_236_433.pdf
null
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gfIJCMH8LKbnDMIB7
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10.1103/physrev.40.749
10.1103/physrev.40.749
On the Quantum Correction For Thermodynamic Equilibrium
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1932-06-01
journal-article
American Physical Society (APS)
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749-759
0031-899X
null
E. Wigner
1
null
8,338
12
true
http://link.aps.org/licenses/aps-default-license
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null
https://doi.org/10.1103/physrev.40.749
null
null
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gfIJCMH8LKbnDMIB7
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10.1109/3.53394
10.1109/3.53394
Sensitive measurement of optical nonlinearities using a single beam
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1990-04
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26
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760-769
0018-9197
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5
null
8,325
24
true
https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html
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https://doi.org/10.1109/3.53394
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gfIJCMH8LKbnDMIB7
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10.25080/majora-92bf1922-00a
10.25080/majora-92bf1922-00a
Data Structures for Statistical Computing in Python
2,010
2010
proceedings-article
SciPy
Proceedings of the Python in Science Conference
null
null
56-61
2575-9752
null
Wes McKinney
1
null
8,309
0
false
null
null
null
https://doi.org/10.25080/majora-92bf1922-00a
null
null
null
null
gfIJCMH8LKbnDMIB7
ddoBlDbs2z6nCWTNT
10.1016/j.mri.2012.05.001
10.1016/j.mri.2012.05.001
3D Slicer as an image computing platform for the Quantitative Imaging Network
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Elsevier BV
Magnetic Resonance Imaging
30
9
1323-1341
0730-725X
null
Andriy Fedorov, Reinhard Beichel, Jayashree Kalpathy-Cramer, Julien Finet, Jean-Christophe Fillion-Robin, Sonia Pujol, Christian Bauer, Dominique Jennings, Fiona Fennessy, Milan Sonka, John Buatti, Stephen Aylward, James V. Miller, Steve Pieper, Ron Kikinis
15
null
8,228
69
true
https://www.elsevier.com/tdm/userlicense/1.0/
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null
https://doi.org/10.1016/j.mri.2012.05.001
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gfIJCMH8LKbnDMIB7
ddoBlDbs2z6nCWTNT
10.1007/978-1-4419-0318-1
10.1007/978-1-4419-0318-1
Mixed-Effects Models in Sand S-PLUS
2,000
2000
book
Springer New York
Statistics and Computing
null
null
null
1431-8784
9781441903174, 9781441903181
José C. Pinheiro, Douglas M. Bates
2
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8,009
0
true
http://www.springer.com/tdm
null
null
https://doi.org/10.1007/978-1-4419-0318-1
http://link.springer.com/content/pdf/10.1007/978-1-4419-0318-1.pdf
null
null
null
gfIJCMH8LKbnDMIB7
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10.1007/s11222-007-9033-z
10.1007/s11222-007-9033-z
A tutorial on spectral clustering
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2007-12
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Springer Science and Business Media LLC
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17
4
395-416
0960-3174, 1573-1375
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Ulrike von Luxburg
1
null
7,985
67
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http://www.springer.com/tdm
null
null
https://doi.org/10.1007/s11222-007-9033-z
http://link.springer.com/content/pdf/10.1007/s11222-007-9033-z.pdf
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gfIJCMH8LKbnDMIB7
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10.1109/gce.2010.5676129
10.1109/gce.2010.5676129
Creating the CIPRES Science Gateway for inference of large phylogenetic trees
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proceedings-article
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null
null
1-8
null
null
Mark A. Miller, Wayne Pfeiffer, Terri Schwartz
3
null
7,917
24
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null
null
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https://doi.org/10.1109/gce.2010.5676129
null
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null
null
gfIJCMH8LKbnDMIB7
ddoBlDbs2z6nCWTNT
10.22331/q-2018-08-06-79
10.22331/q-2018-08-06-79
Quantum Computing in the NISQ era and beyond
2,018
2018-08-06
journal-article
Verein zur Forderung des Open Access Publizierens in den Quantenwissenschaften
Quantum
2
null
79
2521-327X
null
John Preskill
1
Institute for Quantum Information and Matter and Walter Burke Institute for Theoretical Physics, California Institute of Technology, Pasadena CA 91125, USA
7,586
57
true
https://creativecommons.org/licenses/by/4.0/
null
null
https://doi.org/10.22331/q-2018-08-06-79
null
Noisy Intermediate-Scale Quantum (NISQ) technology will be available in the near future. Quantum computers with 50-100 qubits may be able to perform tasks which surpass the capabilities of today's classical digital computers, but noise in quantum gates will limit the size of quantum circuits that can be executed reliab...
null
en
gfIJCMH8LKbnDMIB7
ddoBlDbs2z6nCWTNT
10.1088/1361-648x/aa8f79
10.1088/1361-648x/aa8f79
Advanced capabilities for materials modelling with Q <scp>uantum</scp> ESPRESSO
2,017
2017-11-22
journal-article
IOP Publishing
Journal of Physics: Condensed Matter
29
46
465901
0953-8984, 1361-648X
null
P Giannozzi, O Andreussi, T Brumme, O Bunau, M Buongiorno Nardelli, M Calandra, R Car, C Cavazzoni, D Ceresoli, M Cococcioni, N Colonna, I Carnimeo, A Dal Corso, S de Gironcoli, P Delugas, R A DiStasio, A Ferretti, A Floris, G Fratesi, G Fugallo, R Gebauer, U Gerstmann, F Giustino, T Gorni, J Jia, M Kawamura, H-Y Ko, A...
50
University of Udine
7,362
215
true
https://publishingsupport.iopscience.iop.org/iop-standard/v1
Leverhulme Trust, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Division of Materials Research, H2020 Research Infrastructures, U.S. Department of Defense, PASC Platform for Advanced Scientific Computing, Office of Science
10.13039/501100000275, 10.13039/501100001711, 10.13039/100000078, 10.13039/100010666, 10.13039/100006132
https://doi.org/10.1088/1361-648x/aa8f79
http://iopscience.iop.org/article/10.1088/1361-648X/aa8f79/pdf
Abstract Q uantum ESPRESSO is an integrated suite of open-source computer codes for quantum simulations of materials using state-of-the-art electronic-structure techniques, based on density-functional theory, density-functional perturbation theory, and many-body perturbation theory, within the plane-wave pseudopotentia...
null
null
gfIJCMH8LKbnDMIB7
ddoBlDbs2z6nCWTNT
10.1109/jiot.2016.2579198
10.1109/jiot.2016.2579198
Edge Computing: Vision and Challenges
2,016
2016-10
journal-article
Institute of Electrical and Electronics Engineers (IEEE)
IEEE Internet of Things Journal
3
5
637-646
2327-4662
null
Weisong Shi, Jie Cao, Quan Zhang, Youhuizi Li, Lanyu Xu
5
null
7,338
40
true
https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html
null
null
https://doi.org/10.1109/jiot.2016.2579198
null
null
null
null
gfIJCMH8LKbnDMIB7
ddoBlDbs2z6nCWTNT
10.1063/1.103561
10.1063/1.103561
Silicon quantum wire array fabrication by electrochemical and chemical dissolution of wafers
1,990
1990-09-03
journal-article
AIP Publishing
Applied Physics Letters
57
10
1046-1048
0003-6951, 1077-3118
null
L. T. Canham
1
Royal Signals and Radar Establishment, St. Andrews Road, Great Malvern, Worcestershire WR14 3PS, United Kingdom
7,314
33
true
null
null
null
https://doi.org/10.1063/1.103561
https://pubs.aip.org/aip/apl/article-pdf/57/10/1046/18478329/1046_1_online.pdf
Indirect evidence is presented that free-standing Si quantum wires can be fabricated without the use of epitaxial deposition or lithography. The novel approach uses electrochemical and chemical dissolution steps to define networks of isolated wires out of bulk wafers. Mesoporous Si layers of high porosity exhibit visib...
null
en
gfIJCMH8LKbnDMIB7
ddoBlDbs2z6nCWTNT
10.1103/revmodphys.74.145
10.1103/revmodphys.74.145
Quantum cryptography
2,002
2002-03-08
journal-article
American Physical Society (APS)
Reviews of Modern Physics
74
1
145-195
0034-6861, 1539-0756
null
Nicolas Gisin, Grégoire Ribordy, Wolfgang Tittel, Hugo Zbinden
4
null
7,272
184
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http://link.aps.org/licenses/aps-default-license
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null
https://doi.org/10.1103/revmodphys.74.145
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null
null
en
gfIJCMH8LKbnDMIB7
ddoBlDbs2z6nCWTNT
10.1103/physrevlett.95.226801
10.1103/physrevlett.95.226801
Quantum Spin Hall Effect in Graphene
2,005
2005-11-23
journal-article
American Physical Society (APS)
Physical Review Letters
95
22
null
0031-9007, 1079-7114
null
C. L. Kane, E. J. Mele
2
null
7,161
21
true
http://link.aps.org/licenses/aps-default-license
null
null
https://doi.org/10.1103/physrevlett.95.226801
null
null
null
en
gfIJCMH8LKbnDMIB7
ddoBlDbs2z6nCWTNT
10.1016/s0304-4165(89)80016-9
10.1016/s0304-4165(89)80016-9
The relationship between the quantum yield of photosynthetic electron transport and quenching of chlorophyll fluorescence
1,989
1989-01
journal-article
Elsevier BV
Biochimica et Biophysica Acta (BBA) - General Subjects
990
1
87-92
0304-4165
null
Bernard Genty, Jean-Marie Briantais, Neil R. Baker
3
null
6,977
22
true
https://www.elsevier.com/tdm/userlicense/1.0/
null
null
https://doi.org/10.1016/s0304-4165(89)80016-9
null
null
null
en
gfIJCMH8LKbnDMIB7
ddoBlDbs2z6nCWTNT
10.1021/cr00005a013
10.1021/cr00005a013
A quantum theory of molecular structure and its applications
1,991
1991-07-01
journal-article
American Chemical Society (ACS)
Chemical Reviews
91
5
893-928
0009-2665, 1520-6890
null
Richard F. W. Bader
1
null
6,905
0
true
null
null
null
https://doi.org/10.1021/cr00005a013
null
null
null
en
gfIJCMH8LKbnDMIB7
ddoBlDbs2z6nCWTNT
10.1145/1721654.1721672
10.1145/1721654.1721672
A view of cloud computing
2,010
2010-04
journal-article
Association for Computing Machinery (ACM)
Communications of the ACM
53
4
50-58
0001-0782, 1557-7317
null
Michael Armbrust, Armando Fox, Rean Griffith, Anthony D. Joseph, Randy Katz, Andy Konwinski, Gunho Lee, David Patterson, Ariel Rabkin, Ion Stoica, Matei Zaharia
11
UC Berkeley Reliable Adaptive Distributed Systems Laboratory (RAD Lab)
6,822
16
true
https://www.acm.org/publications/policies/copyright_policy#Background
Division of Computer and Network Systems, University of California
10.13039/100000144, 10.13039/100005595
https://doi.org/10.1145/1721654.1721672
null
Clearing the clouds away from the true potential and obstacles posed by this computing capability.
null
en
gfIJCMH8LKbnDMIB7
ddoBlDbs2z6nCWTNT
10.1103/physrevlett.69.2863
10.1103/physrevlett.69.2863
Density matrix formulation for quantum renormalization groups
1,992
1992-11-09
journal-article
American Physical Society (APS)
Physical Review Letters
69
19
2863-2866
0031-9007
null
Steven R. White
1
null
6,797
11
true
http://link.aps.org/licenses/aps-default-license
null
null
https://doi.org/10.1103/physrevlett.69.2863
null
null
null
en
gfIJCMH8LKbnDMIB7
ddoBlDbs2z6nCWTNT
10.1038/s41586-019-1666-5
10.1038/s41586-019-1666-5
Quantum supremacy using a programmable superconducting processor
2,019
2019-10-24
journal-article
Springer Science and Business Media LLC
Nature
574
7779
505-510
0028-0836, 1476-4687
null
Frank Arute, Kunal Arya, Ryan Babbush, Dave Bacon, Joseph C. Bardin, Rami Barends, Rupak Biswas, Sergio Boixo, Fernando G. S. L. Brandao, David A. Buell, Brian Burkett, Yu Chen, Zijun Chen, Ben Chiaro, Roberto Collins, William Courtney, Andrew Dunsworth, Edward Farhi, Brooks Foxen, Austin Fowler, Craig Gidney, Marissa ...
77
null
6,672
55
true
https://www.springernature.com/gp/researchers/text-and-data-mining
null
null
https://doi.org/10.1038/s41586-019-1666-5
https://www.nature.com/articles/s41586-019-1666-5.pdf
null
null
en
gfIJCMH8LKbnDMIB7
ddoBlDbs2z6nCWTNT
10.1126/science.1133734
10.1126/science.1133734
Quantum Spin Hall Effect and Topological Phase Transition in HgTe Quantum Wells
2,006
2006-12-15
journal-article
American Association for the Advancement of Science (AAAS)
Science
314
5806
1757-1761
0036-8075, 1095-9203
null
B. Andrei Bernevig, Taylor L. Hughes, Shou-Cheng Zhang
3
Department of Physics, Stanford University, Stanford, CA 94305, USA.
6,468
30
true
null
null
null
https://doi.org/10.1126/science.1133734
null
We show that the quantum spin Hall (QSH) effect, a state of matter with topological properties distinct from those of conventional insulators, can be realized in mercury telluride–cadmium telluride semiconductor quantum wells. When the thickness of the quantum well is varied, the electronic state changes from a normal ...
null
en
gfIJCMH8LKbnDMIB7
ddoBlDbs2z6nCWTNT
10.1007/bf01608499
10.1007/bf01608499
On the generators of quantum dynamical semigroups
1,976
1976-06
journal-article
Springer Science and Business Media LLC
Communications in Mathematical Physics
48
2
119-130
0010-3616, 1432-0916
null
G. Lindblad
1
null
6,460
34
true
http://www.springer.com/tdm
null
null
https://doi.org/10.1007/bf01608499
http://link.springer.com/content/pdf/10.1007/BF01608499.pdf
null
null
en
gfIJCMH8LKbnDMIB7
ddoBlDbs2z6nCWTNT
10.1126/science.281.5385.2016
10.1126/science.281.5385.2016
Quantum Dot Bioconjugates for Ultrasensitive Nonisotopic Detection
1,998
1998-09-25
journal-article
American Association for the Advancement of Science (AAAS)
Science
281
5385
2016-2018
0036-8075, 1095-9203
null
Warren C. W. Chan, Shuming Nie
2
Department of Chemistry, Indiana University, Bloomington, IN 47405, USA.
6,273
36
true
null
null
null
https://doi.org/10.1126/science.281.5385.2016
null
Highly luminescent semiconductor quantum dots (zinc sulfide–capped cadmium selenide) have been covalently coupled to biomolecules for use in ultrasensitive biological detection. In comparison with organic dyes such as rhodamine, this class of luminescent labels is 20 times as bright, 100 times as stable against photobl...
null
en
gfIJCMH8LKbnDMIB7
ddoBlDbs2z6nCWTNT
10.21275/sr24805160228
10.21275/sr24805160228
Deep Learning - Based Diabetic Retinopathy Detection: A Survey on Deep Learning Architectures
2,024
2024-08-05
journal-article
International Journal of Science and Research
International Journal of Science and Research (IJSR)
13
8
1049-1053
2319-7064
null
Srinidhi G A
1
null
1
0
false
null
null
null
https://doi.org/10.21275/sr24805160228
null
null
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.18178/ijlll.2024.10.1.479
10.18178/ijlll.2024.10.1.479
Deep Chinese Teaching and Learning Model Based on Deep Learning
2,024
2024
journal-article
EJournal Publishing
International Journal of Languages, Literature and Linguistics
10
1
32-35
2382-6282, 2972-3108
null
Yipu Wang, Stuart Perrin
2
null
1
0
false
null
null
null
https://doi.org/10.18178/ijlll.2024.10.1.479
null
Deep learning is a more situational and reflective way of learning that integrates complex knowledge and skills into intuitive thinking. As a language that closely combines sound, form and meaning, Chinese teaching and learning from the perspective of deep learning can help break through the limitations of the current ...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.2139/ssrn.3193693
10.2139/ssrn.3193693
AI, Machine Learning &amp; Deep Learning Risk Management &amp; Controls: Beyond Deep Learning and Generative Adversarial Networks: Model Risk Management in AI, Machine Learning &amp; Deep Learning
2,018
2018
journal-article
Elsevier BV
SSRN Electronic Journal
null
null
null
1556-5068
null
Yogesh Malhotra
1
null
9
9
false
null
null
null
https://doi.org/10.2139/ssrn.3193693
null
null
null
en
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.48047/nq.2022.20.3.nq22955
10.48047/nq.2022.20.3.nq22955
Performance Analysis of Extensional Deep Learning And Boosted Intensional Deep Learning Method
2,023
2023-05-24
journal-article
Institute for Advanced Studies
neuroquantology
20
03
null
null
null
null
0
null
0
0
false
null
null
null
https://doi.org/10.48047/nq.2022.20.3.nq22955
null
null
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.4314/sajhe.v17i1.25201
10.4314/sajhe.v17i1.25201
Deep learning? What deep learning?
2,003
2003-01-01
journal-article
African Journals Online (AJOL)
South African Journal of Higher Education
17
1
null
1011-3487
null
C. M. Fourie
1
null
5
0
false
null
null
null
https://doi.org/10.4314/sajhe.v17i1.25201
null
null
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.56028/aetr.16.1.500.2026
10.56028/aetr.16.1.500.2026
Deep Reinforcement Learning: An Innovative Approach that Combines Deep Learning and Reinforcement Learning
2,026
2026-03-10
journal-article
Madison Academic Press
Advances in Engineering Technology Research
16
1
500
2790-1688
null
Yan Cui
1
null
0
0
true
null
null
null
https://doi.org/10.56028/aetr.16.1.500.2026
https://admin.madison-publishing.com/index.php/aetr/article/download/4773/4786
Deep reinforcement learning (DRL) has emerged as a transformative paradigm that integrates the powerful representation-learning capabilities of deep neural networks with the sequential decision-making framework of reinforcement learning. Building upon the foundations of value functions, policy optimization, and Markov ...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.23917/jdl.v1i2.11224
10.23917/jdl.v1i2.11224
Learning Innovation in Global Citizenship Education by Integrating Deep Learning Approach
2,025
2025-10-31
journal-article
Universitas Muhammadiyah Surakarta
Journal of Deep Learning
null
null
203-210
3110-7591
null
Sutrisno Sutrisno, Sunarto Sunarto, Dyah Mustikasari
3
null
0
0
true
https://creativecommons.org/licenses/by/4.0
null
null
https://doi.org/10.23917/jdl.v1i2.11224
https://journals2.ums.ac.id/jdl/article/download/11224/4568
Conventional learning methods in dealing with the complexity of dynamic and multidimensional global issues in learning global citizenship education are still ineffective, this can be seen from the low understanding and awareness of students in solving global issues that occur. This research aims to develop and test lea...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.62945/deeplearning.v1i1.211
10.62945/deeplearning.v1i1.211
Improving Student Learning Outcomes in Fiqh Learning through the Student Problem Based Learning Model at MI Nurul Jihad
2,025
2025-01-31
journal-article
Mandailing Global Edukasia
DEEP LEARNING: Journal of Educational Research
1
1
159-171
3090-1502
null
Muzanni, Najla
2
null
0
0
true
https://creativecommons.org/licenses/by-sa/4.0
null
null
https://doi.org/10.62945/deeplearning.v1i1.211
https://ejournal.mgedukasia.or.id/index.php/deeplearning/article/download/211/205
This study aims to improve the learning motivation of fifth grade students of MI Nurul Jihad in the subject of Fiqh through the application of the Problem Based Learning learning model. The background of the study identified that the learning process tends to focus on memorization, does not involve students actively, a...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.62945/deeplearning.v1i2.223
10.62945/deeplearning.v1i2.223
Implementation of Problem Based Learning Model to Improve Learning Outcomes at SD Negeri Lawe Bulan
2,025
2025-04-30
journal-article
Mandailing Global Edukasia
DEEP LEARNING: Journal of Educational Research
1
2
44-54
3090-1502
null
Irma Fitri Suriani
1
null
0
0
true
https://creativecommons.org/licenses/by-sa/4.0
null
null
https://doi.org/10.62945/deeplearning.v1i2.223
https://ejournal.mgedukasia.or.id/index.php/deeplearning/article/download/223/216
This classroom action research aims to improve the learning outcomes of fourth-grade students at SD Negeri Lawe Bulan in the topic of "Approaching Puberty" through the implementation of the Problem Based Learning (PBL) model. The study is motivated by the low academic performance observed in students, which fell below ...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.55248/gengpi.6.0425.16118
10.55248/gengpi.6.0425.16118
Distraction Detection for Vehicle Drivers Using Deep Learning Techniques: A Review of Advanced Deep Learning Techniques
2,025
2025-04
journal-article
Genesis Global Publication
International Journal of Research Publication and Reviews
6
4
16612-16618
2582-7421
null
Yash Pansare, Lav Parab, Atharva Patil
3
null
0
0
false
null
null
null
https://doi.org/10.55248/gengpi.6.0425.16118
null
null
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.23917/jdl.v1i2.11572
10.23917/jdl.v1i2.11572
Deep Learning-Based Learning Strategies in Realizing Meaningful, Critical, and Enjoyable Learning
2,025
2025-09-26
journal-article
Universitas Muhammadiyah Surakarta
Journal of Deep Learning
null
null
179-187
3110-7591
null
Rizwatul Hasanah, Harun Joko Prayitno, Suni Tuti, Sarilan Sarilan, Velandani Prakoso
5
null
1
0
true
https://creativecommons.org/licenses/by/4.0
null
null
https://doi.org/10.23917/jdl.v1i2.11572
https://journals2.ums.ac.id/jdl/article/download/11572/4360
This study aims to examine the form and scope of the application of Deep Learning in the Vocational High School (SMK), especially at SMK Mantingan, through a literature study approach. Deep Learning, as part of artificial intelligence, has great potential in the world of vocational education, especially in supporting t...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.5210/fm.v24i2.8237
10.5210/fm.v24i2.8237
Down the deep rabbit hole: Untangling deep learning from machine learning and artificial intelligence
2,019
2019-02-01
journal-article
University of Illinois Libraries
First Monday
null
null
null
1396-0466
null
Niel Chah
1
null
2
0
true
null
null
null
https://doi.org/10.5210/fm.v24i2.8237
null
Interest in deep learning, machine learning, and artificial intelligence from industry and the general public has reached a fever pitch recently. However, these terms are frequently misused, confused, and conflated. This paper serves as a non-technical guide for those interested in a high-level understanding of these i...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.62945/deeplearning.v1i2.221
10.62945/deeplearning.v1i2.221
Conscious Learning Model in Improving Students' Learning Outcomes: A Classroom Action Research at MIN 5 Bone
2,025
2025-05-16
journal-article
Mandailing Global Edukasia
DEEP LEARNING: Journal of Educational Research
1
2
19-31
3090-1502
null
Ferdiansyah, Nahirah
2
null
0
0
true
https://creativecommons.org/licenses/by-sa/4.0
null
null
https://doi.org/10.62945/deeplearning.v1i2.221
https://ejournal.mgedukasia.or.id/index.php/deeplearning/article/download/221/214
In the learning process, there are still many teachers who use the direct learning model with the lecture method, this makes students bored and bored during the learning process, so teachers need to vary the fun learning model according to learning so that students do not feel bored and bored. This study aims to examin...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.7557/18.6804
10.7557/18.6804
Questionable Practices in Methodological Deep Learning Research
2,023
2023-01-23
journal-article
UiT The Arctic University of Norway
Proceedings of the Northern Lights Deep Learning Workshop
4
null
null
2703-6928
null
Daniel J. Trosten
1
UiT The Arctic University of Norway
2
19
true
https://creativecommons.org/licenses/by/4.0
null
null
https://doi.org/10.7557/18.6804
https://septentrio.uit.no/index.php/nldl/article/download/6804/7017
Evaluation of new methodology in deep learning (DL) research is typically done by reporting point estimates of a few performance metrics, calculated from a single training run. This paper argues that this frequently used evaluation protocol in DL is fundamentally flawed -- presenting 8 questionable practices that are w...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.33548/scientia849
10.33548/scientia849
Seeing Deep into the Lungs with Deep Learning
2,022
2022
journal-article
Science Diffusion Ltd
Scientia
null
null
null
null
null
Yiqiao Yin
1
null
0
0
false
null
null
null
https://doi.org/10.33548/scientia849
null
null
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.23917/jdl.v1i1.11246
10.23917/jdl.v1i1.11246
Deep Learning vs Differentiated Learning: Learning Innovation in Islamic Boarding School-Based Middle Schools
2,025
2025-06-24
journal-article
Universitas Muhammadiyah Surakarta
Journal of Deep Learning
null
null
57-68
3110-7591
null
Murwanto Setyo Nugroho, Harun Joko Prayitno, Koesoemo Ratih, Muhammad Samsudin
4
null
0
0
true
https://creativecommons.org/licenses/by/4.0
null
null
https://doi.org/10.23917/jdl.v1i1.11246
https://journals2.ums.ac.id/jdl/article/download/11246/3631
This study aims to examine the implementation of deep learning and differentiated learning approaches in Islamic boarding school-based junior high schools (SMP) in order to improve the quality of meaningful, contextual, and humanistic learning. Using a descriptive qualitative approach, data were collected through in-de...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.12739/nwsa.2022.17.4.2a0189
10.12739/nwsa.2022.17.4.2a0189
OBJECT RECOGNITION WITH DEEP LEARNING AND MACHINE LEARNING METHODS
2,022
2022-10-29
journal-article
NWSA Academic Journals
NWSA Academic Journals
17
4
54-61
1308-7231
null
İsmail Akgül, Yıldız Aydın
2
null
3
0
false
null
null
null
https://doi.org/10.12739/nwsa.2022.17.4.2a0189
null
null
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.24135/rangahau-aranga.v1i1.32
10.24135/rangahau-aranga.v1i1.32
From machine learning to deep learning: experimental comparison of machine learning and deep learning for skin cancer image segmentation
2,022
2022-04-11
journal-article
Auckland University of Technology (AUT) Library
Rangahau Aranga: AUT Graduate Review
1
1
null
2815-8202
null
Ranpreet Kaur
1
null
7
0
true
https://creativecommons.org/licenses/by/4.0/
null
null
https://doi.org/10.24135/rangahau-aranga.v1i1.32
https://ojs.aut.ac.nz/rangahau-aranga/1/article/download/32/15
Skin lesion analysis is a tedious and challenging task, thus, in this research the suitability of employing machine learning or deep learning approaches for automatic lesion segmentation on dermoscopic skin cancer images is determined. The segmented region can assist clinical experts in understanding the complex lesion...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.62945/deeplearning.v1i1.202
10.62945/deeplearning.v1i1.202
Small Group Discussion Strategies Reviewed to Improve Student Learning Outcomes in Civics Learning at MI Sultan Agung
2,025
2025-01-31
journal-article
Mandailing Global Edukasia
DEEP LEARNING: Journal of Educational Research
1
1
58-66
3090-1502
null
Wahyu Rustyaningsih
1
null
0
0
true
https://creativecommons.org/licenses/by-sa/4.0
null
null
https://doi.org/10.62945/deeplearning.v1i1.202
https://ejournal.mgedukasia.or.id/index.php/deeplearning/article/download/202/196
This study aims to examine the effectiveness of small group learning strategies in improving student learning outcomes in Civics Education at MI Sultan Agung. Civics, as a subject, plays a crucial role in shaping students' character, sense of responsibility, and awareness of democratic values. However, traditional teac...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.62945/deeplearning.v1i1.209
10.62945/deeplearning.v1i1.209
The Use of Domino Card Media to Improve Student Learning Outcomes in Natural Science Learning at MIS Mawu
2,025
2025-01-31
journal-article
Mandailing Global Edukasia
DEEP LEARNING: Journal of Educational Research
1
1
134-145
3090-1502
null
Nurmalah, Juhraeni
2
null
0
0
true
https://creativecommons.org/licenses/by-sa/4.0
null
null
https://doi.org/10.62945/deeplearning.v1i1.209
https://ejournal.mgedukasia.or.id/index.php/deeplearning/article/download/209/203
The results of students' science learning are still very low when viewed from the results of daily tests that have been held four times, namely the average is 6.45, this means that it has not met the KKM for science subjects, which is 6.7. The factors causing low student learning outcomes are the teaching methods appli...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.62945/deeplearning.v1i1.196
10.62945/deeplearning.v1i1.196
Improving Student Learning Motivation in Islamic Education Learning Using an Activity-Based Approach at SD Negeri Inpres Baralau
2,025
2025-01-31
journal-article
Mandailing Global Edukasia
DEEP LEARNING: Journal of Educational Research
1
1
1-12
3090-1502
null
Sri Ernawati
1
null
1
0
true
https://creativecommons.org/licenses/by-sa/4.0
null
null
https://doi.org/10.62945/deeplearning.v1i1.196
https://ejournal.mgedukasia.or.id/index.php/deeplearning/article/download/196/190
This study investigates the effectiveness of an activity-based approach in enhancing students' learning motivation in Islamic Education at SD Negeri Inpres Baralau. Learning motivation is a critical factor that significantly influences students’ academic success, particularly in religious education where engagement can...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.62945/deeplearning.v1i1.208
10.62945/deeplearning.v1i1.208
Cooperative Learning Strategy to Improve Student Learning Outcomes on the Theme of Always Saving Energy at MI Nurul Ihsan
2,025
2025-01-31
journal-article
Mandailing Global Edukasia
DEEP LEARNING: Journal of Educational Research
1
1
121-133
3090-1502
null
Haryati
1
null
0
0
true
https://creativecommons.org/licenses/by-sa/4.0
null
null
https://doi.org/10.62945/deeplearning.v1i1.208
https://ejournal.mgedukasia.or.id/index.php/deeplearning/article/download/208/202
This study investigates the effectiveness of domino card media in improving science learning outcomes for students at MIS Mawu. Recognizing the limitations of traditional, passive learning methods in fostering deep understanding and engagement in science, this research explores the potential of an interactive and colla...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.7557/18.6801
10.7557/18.6801
RIDDLE: Rule Induction with Deep Learning
2,023
2023-01-23
journal-article
UiT The Arctic University of Norway
Proceedings of the Northern Lights Deep Learning Workshop
4
null
null
2703-6928
null
Cosimo Persia, Ricardo Guimarães
2
University of Bergen
1
33
true
https://creativecommons.org/licenses/by/4.0
null
null
https://doi.org/10.7557/18.6801
https://septentrio.uit.no/index.php/nldl/article/download/6801/7016
Numerous applications rely on the efficiency of Deep Learning models to address complex classification tasks for critical decisions-making. However, we may not know how each feature in these models contributes towards the prediction. In contrast, Rule Induction algorithms provide an interpretable way to extract pattern...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.2139/ssrn.3562976
10.2139/ssrn.3562976
Deep Learning in diverse Computing and Network Applications Student Admission Predictor using Deep Learning
2,020
2020
journal-article
Elsevier BV
SSRN Electronic Journal
null
null
null
1556-5068
null
P. Nandal
1
null
6
0
false
null
null
null
https://doi.org/10.2139/ssrn.3562976
null
null
null
en
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.23917/jdl.v1i2.11969
10.23917/jdl.v1i2.11969
Designing Mathematics Teaching through Deep Learning Pedagogy: Toward Meaningful, Mindful, and Joyful Learning
2,025
2025-10-31
journal-article
Universitas Muhammadiyah Surakarta
Journal of Deep Learning
null
null
188-202
3110-7591
null
Torang Siregar, Ahmad Fauzan, Yerizon Yerizon, Syafriandi Syafriandi
4
null
6
0
true
https://creativecommons.org/licenses/by/4.0
null
null
https://doi.org/10.23917/jdl.v1i2.11969
https://journals2.ums.ac.id/jdl/article/download/11969/4567
Mathematics education in the 21st century requires an approach that focuses not only on procedural mastery but also on deep conceptual understanding, critical thinking skills, and the ability to transfer knowledge across various life contexts. This article discusses the design of mathematics learning based on a deep le...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.21275/sr231023115126
10.21275/sr231023115126
Machine Learning and Deep Learning Approaches for Cybersecurity: A Review
2,023
2023-10-05
journal-article
International Journal of Science and Research
International Journal of Science and Research (IJSR)
12
10
1706-1710
2319-7064
null
Migul Jain
1
null
2
0
false
null
null
null
https://doi.org/10.21275/sr231023115126
null
null
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.56452/7-4-243
10.56452/7-4-243
"Deep Non-Parametic Learning Architecture: Performance Analysis Of Deep Learning Architecture"
2,023
2023
journal-article
Kalahari Journals
International Journal of Mechanical Engineering
8
null
null
0974-5823
null
null
0
null
0
0
false
null
null
null
https://doi.org/10.56452/7-4-243
null
null
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.33140/amlai.03.02.04
10.33140/amlai.03.02.04
Straight Forward Constructive Deep Learning Neural Network (SFC-DLNN) Algorithm
2,022
2022-08-27
journal-article
Opast Group LLC
Advances in Machine Learning &amp; Artificial Intelligence
3
2
null
2769-545X
null
null
0
null
0
0
false
null
null
null
https://doi.org/10.33140/amlai.03.02.04
null
Straight Forward Constructive Deep Learning Neural Network (SFC-DLNN) algorithm is a new architecturebased algorithm for artificial neural networks. Rather than simply adjusting the weights in a fixed topology network, SFC-DLNN starts with a minimal topology (perceptron), then builds up their network by gradually train...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.62945/deeplearning.v1i1.205
10.62945/deeplearning.v1i1.205
Improving Understanding and Attitude of Gratitude Using Project Based Learning Model in Islamic Education Learning at SMP Negeri 1 Barumun Baru
2,025
2025-01-31
journal-article
Mandailing Global Edukasia
DEEP LEARNING: Journal of Educational Research
1
1
94-106
3090-1502
null
Hayatunnisah Nst
1
null
0
0
true
https://creativecommons.org/licenses/by-sa/4.0
null
null
https://doi.org/10.62945/deeplearning.v1i1.205
https://ejournal.mgedukasia.or.id/index.php/deeplearning/article/download/205/199
This study aims to improve student learning outcomes in Islamic religious education learning using Project Based Learning. This study is a classroom action research that uses four steps, namely planning, action, observation and reflection. The subjects of this study were junior high school students. The data for this s...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.34218/ijaidl_02_02_001
10.34218/ijaidl_02_02_001
FEATURE SELECTION AND DEEP LEARNING MODEL FOR AIR QUALITY PREDICTION
2,025
2025-12-03
journal-article
IAEME Publication
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE AND DEEP LEARNING
2
2
1-11
null
null
Agastya Shrivastava
1
null
0
0
true
null
null
null
https://doi.org/10.34218/ijaidl_02_02_001
https://iaeme.com/MasterAdmin/Journal_uploads/IJAIDL/VOLUME_2_ISSUE_2/IJAIDL_02_02_001.pdf
null
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.36266/jcet/104
10.36266/jcet/104
Deep Learning –An Overview
2,019
2019-04-30
journal-article
Pubtexto
Journal of Current Engineering and Technology
1
1
1-4
2582-1210, 2582-1210
null
null
0
null
1
0
false
null
null
null
https://doi.org/10.36266/jcet/104
null
null
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.25077/jfu.15.4.372-381.2026
10.25077/jfu.15.4.372-381.2026
Komparasi Deep Learning Convolutional Neural Network (CNN) dan Deep Learning CNN- Support Vector Machine (SVM) untuk Identifikasi Tumor Otak dan Payudara
2,026
2026-08-01
journal-article
Universitas Andalas
Jurnal Fisika Unand
15
4
372-381
2686-2433, 2302-8491
null
Siti Nur Khalisha, Pandji Triadyaksa, Ngurah Ayu Ketut Umiati
3
null
0
0
true
https://creativecommons.org/licenses/by-nc/4.0
null
null
https://doi.org/10.25077/jfu.15.4.372-381.2026
https://jfu.fmipa.unand.ac.id/index.php/jfu/article/download/1771/1139
Identifikasi citra MRI tumor otak dan payudara merupakan aspek penting dalam pengembangan system computer aided diagnosis (CAD) yang akurat dan andal. Penelitian ini membandingkan kinerja model CNN tunggal berbasis Res-Net 50 dan model hibrida CNN-SVM dalam mengklasifikasikan berbagai jenis tumor melalui citra MRI. Met...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.64820/aepjmldl.11.41.46.122024
10.64820/aepjmldl.11.41.46.122024
Uncertainty Estimation in Deep Learning: Methods and Applications
2,024
2024-12-31
journal-article
Academic Edge Press
Journal of Machine Learning and Deep Learning
1
1
41-46
2978-4336
null
Hina Batool, Tahir Abbas, Jamshaid Iqbal Janjua, Sadaqat Ali Ramay
4
null
2
23
false
null
null
null
https://doi.org/10.64820/aepjmldl.11.41.46.122024
null
Uncertainty estimation in deep learning has emerged as a crucial area of research due to its significance in enhancing model reliability and decision-making in critical applications. This article explores various methods and applications of uncertainty estimation in deep learning, aiming to provide insights into its im...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.1007/s10462-026-11560-3
10.1007/s10462-026-11560-3
L.L. Thurstone, The law of effect and the dynamics of deep learning “a deep history of deep learning”
2,026
2026-05-05
journal-article
Springer Science and Business Media LLC
Artificial Intelligence Review
59
8
null
1573-7462
null
Stephen Josè Hanson, Catherine Hanson
2
null
0
100
true
https://creativecommons.org/licenses/by/4.0
null
null
https://doi.org/10.1007/s10462-026-11560-3
https://link.springer.com/content/pdf/10.1007/s10462-026-11560-3.pdf
Abstract Deep learning (DL), a variant of the neural network algorithms originally proposed in the early twentieth century, has resulted in a renaissance of artificial intelligence. Despite the growing dominance of DL networks, little is understood about the learning mechanism that makes these networks so effective acr...
null
en
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.18178/ijml.2026.16.1.1185
10.18178/ijml.2026.16.1.1185
Forecasting Thai Agricultural Price: A Deep Learning Approach for Key Commodities
2,026
2026
journal-article
EJournal Publishing
International Journal of Machine Learning
16
null
null
2972-368X
null
null
0
null
0
0
true
null
null
null
https://doi.org/10.18178/ijml.2026.16.1.1185
https://www.ijml.org/vol16/IJML-V16N1-1185.pdf
null
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.23917/jdl.v2i1.14135
10.23917/jdl.v2i1.14135
Deep Learning Approach: Potentials and Challenges in Indonesian Education
2,026
2026-04-07
journal-article
Universitas Muhammadiyah Surakarta
Journal of Deep Learning
null
null
35-49
3110-7591
null
Izza Hanifa Astono, Sri Endah Wahyuningsih, Sri Handayani
3
null
0
0
true
https://creativecommons.org/licenses/by/4.0
null
null
https://doi.org/10.23917/jdl.v2i1.14135
https://journals2.ums.ac.id/jdl/article/download/14135/5502
The transformation of education in the era of globalization and the Industrial Revolution 4.0 requires a paradigm shift from memorization-based learning toward approaches that emphasize deep understanding, active engagement, and the development of twenty-first century skills. The Deep Learning approach has emerged as a...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.34218/ijnndl_03_01_002
10.34218/ijnndl_03_01_002
A COMPREHENSIVE REVIEW OF TIME SERIES ANOMALY DETECTION: FROM TRADITIONAL METHODS TO DEEP LEARNING AND TRANSFER LEARNING APPROACHES
2,026
2026-06-19
journal-article
IAEME Publication
INTERNATIONAL JOURNAL OF NEURAL NETWORKS AND DEEP LEARNING
3
1
7-19
null
null
V.K. Mixymol
1
null
0
0
true
null
null
null
https://doi.org/10.34218/ijnndl_03_01_002
https://iaeme.com/MasterAdmin/Journal_uploads/IJNNDL/VOLUME_3_ISSUE_1/IJNNDL_03_01_002.pdf
null
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.22266/ijies2024.0229.64
10.22266/ijies2024.0229.64
An Improved Deep Learning Based Test Case Prioritization Using Deep Reinforcement Learning
2,024
2024-02-29
journal-article
The Intelligent Networks and Systems Society
International Journal of Intelligent Engineering and Systems
17
1
771-782
2185-3118
null
null
0
null
8
0
false
null
null
null
https://doi.org/10.22266/ijies2024.0229.64
null
null
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.53902/atr.2024.02.000502
10.53902/atr.2024.02.000502
Spectral Deep Learning in Chronic Pulmonary Thromboembolism
2,024
2024
journal-article
Stephy Publishers
Advancements in Teleradiology and Radiotherapy
2
1
null
null
null
Henrique J Cirino
1
null
0
0
false
null
null
null
https://doi.org/10.53902/atr.2024.02.000502
null
Pulmonary scintigraphy is considered a technique of choice in the evaluation of chronic pulmonary thromboembolism. Technical advancements in computed tomography as dual-energy (spectral) have allowed obtaining high quality images. As an example, a computed tomography as dual-energy patient case is shown, who underwent ...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.55248/gengpi.06.1125.38111
10.55248/gengpi.06.1125.38111
Plant disease detection using Machine learning and Deep learning
2,025
2025-11
journal-article
Genesis Global Publication
International Journal of Research Publication and Reviews
6
11
2863-2868
2582-7421
null
Likhith Simhadri
1
null
0
0
false
null
null
null
https://doi.org/10.55248/gengpi.06.1125.38111
null
null
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.23917/jdl.v1i1.11157
10.23917/jdl.v1i1.11157
Implementation of Deep Learning in Education: Towards Mindful, Meaningful, and Joyful Learning Experiences
2,025
2025-06-19
journal-article
Universitas Muhammadiyah Surakarta
Journal of Deep Learning
null
null
47-56
3110-7591
null
Lukie Masayu Andayanie, Muhammad Syahriandi Adhantoro, Eko Purnomo, Ganno Tribuana Kurniaji
4
null
13
0
true
https://creativecommons.org/licenses/by/4.0
null
null
https://doi.org/10.23917/jdl.v1i1.11157
https://journals2.ums.ac.id/jdl/article/download/11157/3575
The deep learning approach in education has emerged as a promising pedagogical framework for transforming the learning experience to be more holistic, reflective, and aligned with the needs of the twenty‑first century. This study seeks to conceptually explore how the principles of mindful, meaningful, and joyful learni...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.33140/jibf.04.01.04
10.33140/jibf.04.01.04
Black-Litterman Portfolio Optimization using Machine-Learning, Deep Learning and Reinforcement Learning Algorithms
2,026
2026-05-21
journal-article
Opast Group LLC
Journal of Investment, Banking and Finance
04
01
01-11
2997-2256
null
Shigolakov Ivan Vasilevich, Joe Wayne Byers
2
World Quant University, USA
0
0
false
null
null
null
https://doi.org/10.33140/jibf.04.01.04
null
A portfolio optimization plays a critical role in the financial world. Today the portfolio managers, financial and investment analysts, quantitative researchers from different financial institutions and companies try to find new or better approaches to optimize the investment portfolio in comparison with classical tech...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.62945/deeplearning.v1i1.214
10.62945/deeplearning.v1i1.214
The Use of Audio Visual Media in Improving Student Learning Outcomes in Islamic Education Learning at SD Negeri 6 Bandar Baru
2,025
2025-01-31
journal-article
Mandailing Global Edukasia
DEEP LEARNING: Journal of Educational Research
1
1
196-208
3090-1502
null
Linda Nelsiani, Fauziah
2
null
0
0
true
https://creativecommons.org/licenses/by-sa/4.0
null
null
https://doi.org/10.62945/deeplearning.v1i1.214
https://ejournal.mgedukasia.or.id/index.php/deeplearning/article/download/214/208
This Classroom Action Research (CAR) investigates the effectiveness of audio-visual media in improving student learning outcomes in Islamic Education, specifically focusing on the attributes of the prophets, at SD Negeri 6 Bandar Baru. Recognizing the potential of multi-sensory learning experiences to enhance student e...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.62945/deeplearning.v1i1.197
10.62945/deeplearning.v1i1.197
Improving Student Learning Achievement through Group Guidance in Natural and Social Sciences Subjects at MI Maraqitta'limat Lengkok Lendang
2,025
2025-01-31
journal-article
Mandailing Global Edukasia
DEEP LEARNING: Journal of Educational Research
1
1
13-22
3090-1502
null
Harsini
1
null
0
0
true
https://creativecommons.org/licenses/by-sa/4.0
null
null
https://doi.org/10.62945/deeplearning.v1i1.197
https://ejournal.mgedukasia.or.id/index.php/deeplearning/article/download/197/191
This study aims to investigate the effectiveness of group counseling in improving student achievement in the subject of Natural and Social Sciences at MI Maraqitta’limat Lengkok Lendang. The research is grounded in the growing need for innovative educational approaches that address not only academic content but also st...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.62945/deeplearning.v1i1.210
10.62945/deeplearning.v1i1.210
Teacher Professionalism and Its Relationship with Student Learning Achievement in Fiqh Subject at MAS Nurul Haq Rite
2,025
2025-01-31
journal-article
Mandailing Global Edukasia
DEEP LEARNING: Journal of Educational Research
1
1
146-158
3090-1502
null
Abdul Hafid, Nurmalah
2
null
0
0
true
https://creativecommons.org/licenses/by-sa/4.0
null
null
https://doi.org/10.62945/deeplearning.v1i1.210
https://ejournal.mgedukasia.or.id/index.php/deeplearning/article/download/210/204
This study investigates the relationship between Fiqh teacher professionalism and student learning achievement at MAS Nurul Haq Rite, Ambalawi District, Bima Regency. Teacher professionalism is defined as the expertise, authority, and quality of a Fiqh teacher's work, encompassing their competence in planning, subject ...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.21275/sr26221124055
10.21275/sr26221124055
Artificial Intelligence in Cybersecurity: Machine Learning and Deep Learning for Intelligent Threat Detection
2,026
2026-02-26
journal-article
International Journal of Science and Research
International Journal of Science and Research (IJSR)
null
null
1287-1291
2319-7064
null
Rita Dewanjee
1
null
0
0
false
null
null
null
https://doi.org/10.21275/sr26221124055
null
null
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.23887/jpp.v58i3.95456
10.23887/jpp.v58i3.95456
Penerapan Problem Based Learning Terintegrasi Deep Learning untuk Meningkatkan Motivasi Belajar Siswa
2,025
2025-10-25
journal-article
Universitas Pendidikan Ganesha
Jurnal Pendidikan dan Pengajaran
58
3
450-458
2549-2608, 2301-7821
null
Rifninda Nur Linasari, Ana Fitrotun Nisa
2
null
0
43
true
https://creativecommons.org/licenses/by-sa/4.0
null
null
https://doi.org/10.23887/jpp.v58i3.95456
https://ejournal.undiksha.ac.id/index.php/JPP/article/download/95456/35933
Penelitian ini bertujuan untuk menganalisis peningkatan motivasi belajar IPAS siswa kelas V di SD Negeri Jetisjogopaten Tahun Ajaran 2024/2025 setelah diterapkannya model pembelajaran Problem Based Learning terintegrasi pendekatan Deep Learning. Jenis penelitian ini adalah Penelitian Tindakan Kelas (PTK) dengan subjek ...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.1530/endoabs.92.op-08-01
10.1530/endoabs.92.op-08-01
Evaluation of learning methods similar to deep learning and device using deep learning for the diagnosis of thyroid nodules
2,023
2023-08-24
journal-article
Bioscientifica
Endocrine Abstracts
null
null
null
1479-6848
null
Kwak Jin Young, Daham Kim, Kim Youngsook Kim, Eunjung Lee
4
null
0
0
true
null
null
null
https://doi.org/10.1530/endoabs.92.op-08-01
null
null
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.21275/mr23717204529
10.21275/mr23717204529
Object Detection with Deep Learning
2,023
2023-07-05
journal-article
International Journal of Science and Research
International Journal of Science and Research (IJSR)
12
7
1300-1304
2319-7064
null
Yash Bhadiyadra
1
null
0
0
false
null
null
null
https://doi.org/10.21275/mr23717204529
null
null
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.23917/jdl.v1i1.11077
10.23917/jdl.v1i1.11077
Deep Learning: Implementation and Impact in Islamic Junior High Schools
2,025
2025-06-16
journal-article
Universitas Muhammadiyah Surakarta
Journal of Deep Learning
null
null
25-36
3110-7591
null
Erda Farid Hidayani, Harun Joko Prayitno, Trisakti Handayani
3
null
0
0
true
https://creativecommons.org/licenses/by/4.0
null
null
https://doi.org/10.23917/jdl.v1i1.11077
https://journals2.ums.ac.id/jdl/article/download/11077/3514
This study aims to describe the implementation of deep learning strategies at the secondary level within an Islamic educational setting, specifically at SMP Islam Ar‑Rahmah. A descriptive qualitative approach was employed to examine in depth the teaching–learning processes integrated with Islamic values and the school’...
null
null
mmXakoeGzeMWIaF4Y
rNqDrGTpgRkP0nsC3
10.1002/9781683673798.ch7
10.1002/9781683673798.ch7
CRISPR‐Cas13: Biology, Mechanism, and Applications of RNA‐Guided, RNA‐Targeting CRISPR Systems
2,022
2022-08-30
other
Wiley
Crispr
null
null
99-120
null
9781683670377, 9781683673798
Omar O. Abudayyeh, Jonathan S. Gootenberg
2
null
0
97
true
http://doi.wiley.com/10.1002/tdm_license_1.1
null
null
https://doi.org/10.1002/9781683673798.ch7
https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781683673798.ch7
null
null
en
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2 CRISPR/Cas9 – Einführung
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book-chapter
Tectum – ein Verlag in der Nomos Verlagsgesellschaft
CRISPR
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Genome Editing with CRISPR‐Cas Systems
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2022-08-30
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<scp>CRISPR</scp> ‐Based Antimicrobials
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10.1007/978-981-16-8504-0_6
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CRISPR Guides
2,022
2022
book-chapter
Springer Nature Singapore
CRISPR
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Ziheng Zhang, Ping Wang, Ji-Long Liu
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Development and Vision of CRISPR-Based Technology
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2022
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Springer Nature Singapore
CRISPR
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Ziheng Zhang, Ping Wang, Ji-Long Liu
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Gene Editing Through CRISPR-Based Technology
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2022
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Springer Nature Singapore
CRISPR
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10.1002/9781683673798.ch3
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Molecular Mechanisms of Type<scp>I CRISPR</scp>‐Cas Systems
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2022-08-30
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Wiley
Crispr
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39-52
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