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21	Material Type: Article	Advances in de Novo Drug Design: From Conventional to Machine Learning Methods International journal of molecular sciences, 2021-02, Vol.22 (4), p.1676 [Peer Reviewed Journal] 2021. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 by the authors. 2021 ;ISSN: 1422-0067 ;ISSN: 1661-6596 ;EISSN: 1422-0067 ;DOI: 10.3390/ijms22041676 ;PMID: 33562347 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
22	Material Type: Article	Convolutional Neural Networks for Large-Scale Remote Sensing Image Classification IEEE transactions on geoscience and remote sensing, 2017-02, Vol.55, p.645-657 [Peer Reviewed Journal] Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/tgrs.2016.2612821 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
23	Material Type: Article	Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead IEEE access, 2020, Vol.8, p.225134-225180 [Peer Reviewed Journal] Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.3039858 ;CODEN: IAECCG Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
24	Material Type: Article	A guide to machine learning for biologists Nature reviews. Molecular cell biology, 2022-01, Vol.23 (1), p.40-55 [Peer Reviewed Journal] 2021. Springer Nature Limited. ;Springer Nature Limited 2021. ;ISSN: 1471-0072 ;EISSN: 1471-0080 ;DOI: 10.1038/s41580-021-00407-0 ;PMID: 34518686 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
25	Material Type: Article	Brain-Inspired Computing: Models and Architectures IEEE open journal of circuits and systems, 2020, Vol.1, p.185-204 [Peer Reviewed Journal] Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2644-1225 ;EISSN: 2644-1225 ;DOI: 10.1109/OJCAS.2020.3032092 ;CODEN: IOJCC3 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
26	Material Type: Article	3D Deep Learning on Medical Images: A Review Sensors (Basel, Switzerland), 2020-09, Vol.20 (18), p.5097 [Peer Reviewed Journal] 2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20185097 ;PMID: 32906819 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
27	Material Type: Article	Speech synthesis from neural decoding of spoken sentences Nature (London), 2019-04, Vol.568 (7753), p.493-498 [Peer Reviewed Journal] COPYRIGHT 2019 Nature Publishing Group ;Copyright Nature Publishing Group Apr 25, 2019 ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/s41586-019-1119-1 ;PMID: 31019317 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
28	Material Type: Article	Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification IEEE transactions on biomedical engineering, 2019-05, Vol.66 (5), p.1285-1296 [Peer Reviewed Journal] ISSN: 0018-9294 ;EISSN: 1558-2531 ;DOI: 10.1109/TBME.2018.2872652 ;CODEN: IEBEAX Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
29	Material Type: Article	Water quality prediction based on recurrent neural network and improved evidence theory: a case study of Qiantang River, China Environmental science and pollution research international, 2019-07, Vol.26 (19), p.19879-19896 [Peer Reviewed Journal] Springer-Verlag GmbH Germany, part of Springer Nature 2019 ;Environmental Science and Pollution Research is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0944-1344 ;EISSN: 1614-7499 ;DOI: 10.1007/s11356-019-05116-y ;PMID: 31093910 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
30	Material Type: Article	A Review of Binarized Neural Networks Electronics (Basel), 2019-06, Vol.8 (6), p.661 [Peer Reviewed Journal] 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics8060661 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
31	$Analysis of Diffractive Optical Neural Networks and Their Integration With Electronic Neural Networks$ $Analysis of Diffractive Optical Neural Networks and Their Integration With Electronic Neural Networks$ Material Type: Article	Analysis of Diffractive Optical Neural Networks and Their Integration With Electronic Neural Networks IEEE journal of selected topics in quantum electronics, 2020-01, Vol.26 (1), p.1-14 [Peer Reviewed Journal] ISSN: 1077-260X ;EISSN: 1558-4542 ;DOI: 10.1109/JSTQE.2019.2921376 ;CODEN: IJSQEN Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
32	Material Type: Article	CNN-Based Network Intrusion Detection against Denial-of-Service Attacks Electronics (Basel), 2020-06, Vol.9 (6), p.916 [Peer Reviewed Journal] 2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics9060916 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
33	Material Type: Article	Fully Automatic Left Atrium Segmentation From Late Gadolinium Enhanced Magnetic Resonance Imaging Using a Dual Fully Convolutional Neural Network IEEE transactions on medical imaging, 2019-02, Vol.38 (2), p.515-524 ISSN: 0278-0062 ;EISSN: 1558-254X ;DOI: 10.1109/TMI.2018.2866845 ;PMID: 30716023 ;CODEN: ITMID4 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
34	Material Type: Article	Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks BMC genomics, 2018-07, Vol.19 (1), p.511-511, Article 511 [Peer Reviewed Journal] COPYRIGHT 2018 BioMed Central Ltd. ;COPYRIGHT 2018 BioMed Central Ltd. ;Copyright © 2018. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2018 ;ISSN: 1471-2164 ;EISSN: 1471-2164 ;DOI: 10.1186/s12864-018-4889-1 ;PMID: 29970003 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
35	Material Type: Article	A Comparative Analysis of Hybrid Deep Learning Models for Human Activity Recognition Sensors (Basel, Switzerland), 2020-10, Vol.20 (19), p.5707 [Peer Reviewed Journal] 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20195707 ;PMID: 33036479 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
36	Material Type: Article	A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction IEEE transactions on medical imaging, 2018-02, Vol.37 (2), p.491-503 ISSN: 0278-0062 ;EISSN: 1558-254X ;DOI: 10.1109/TMI.2017.2760978 ;PMID: 29035212 ;CODEN: ITMID4 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
37	Material Type: Article	Overview of the Neural Network Compression and Representation (NNR) Standard IEEE transactions on circuits and systems for video technology, 2022-05, Vol.32 (5), p.3203-3216 [Peer Reviewed Journal] ISSN: 1051-8215 ;EISSN: 1558-2205 ;DOI: 10.1109/TCSVT.2021.3095970 ;CODEN: ITCTEM Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
38	Material Type: Article	ITED-Face/I: Texture-Enhanced Deep Face Reconstruction in the Wild Sensors (Basel, Switzerland), 2023-07, Vol.23 (14) [Peer Reviewed Journal] COPYRIGHT 2023 MDPI AG ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s23146525 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
39	Material Type: Book	Brain Computation as Hierarchical Abstraction 2015 Massachusetts Institute of Technology ;ISBN: 0262028611 ;ISBN: 9780262028615 ;ISBN: 0262323818 ;ISBN: 9780262323819 ;ISBN: 9780262534123 ;ISBN: 0262534126 ;EISBN: 0262323818 ;EISBN: 9780262323819 ;DOI: 10.7551/mitpress/9780262028615.001.0001 ;OCLC: (MITCogNet)150022 ;OCLC: 904398428 ;OCLC: (OCoLC-P)904398428 ;LCCallNum: QP357.5 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
40	Material Type: Article	Review of deep learning: concepts, CNN architectures, challenges, applications, future directions Journal of big data, 2021-03, Vol.8 (1), p.53-53, Article 53 [Peer Reviewed Journal] The Author(s) 2021 ;The Author(s) 2021. ;The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2196-1115 ;EISSN: 2196-1115 ;DOI: 10.1186/s40537-021-00444-8 ;PMID: 33816053 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by

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Results 21 - 40 of 414,340 for All Library Resources

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/tgrs.2016.2612821

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.3039858 ;CODEN: IAECCG

2021. Springer Nature Limited. ;Springer Nature Limited 2021. ;ISSN: 1471-0072 ;EISSN: 1471-0080 ;DOI: 10.1038/s41580-021-00407-0 ;PMID: 34518686

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2644-1225 ;EISSN: 2644-1225 ;DOI: 10.1109/OJCAS.2020.3032092 ;CODEN: IOJCC3

COPYRIGHT 2019 Nature Publishing Group ;Copyright Nature Publishing Group Apr 25, 2019 ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/s41586-019-1119-1 ;PMID: 31019317

ISSN: 0018-9294 ;EISSN: 1558-2531 ;DOI: 10.1109/TBME.2018.2872652 ;CODEN: IEBEAX

Springer-Verlag GmbH Germany, part of Springer Nature 2019 ;Environmental Science and Pollution Research is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0944-1344 ;EISSN: 1614-7499 ;DOI: 10.1007/s11356-019-05116-y ;PMID: 31093910

ISSN: 1077-260X ;EISSN: 1558-4542 ;DOI: 10.1109/JSTQE.2019.2921376 ;CODEN: IJSQEN

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics9060916

ISSN: 0278-0062 ;EISSN: 1558-254X ;DOI: 10.1109/TMI.2018.2866845 ;PMID: 30716023 ;CODEN: ITMID4

ISSN: 0278-0062 ;EISSN: 1558-254X ;DOI: 10.1109/TMI.2017.2760978 ;PMID: 29035212 ;CODEN: ITMID4

ISSN: 1051-8215 ;EISSN: 1558-2205 ;DOI: 10.1109/TCSVT.2021.3095970 ;CODEN: ITCTEM

COPYRIGHT 2023 MDPI AG ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s23146525

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