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1	Material Type: Article	Review of Deep Learning Algorithms and Architectures IEEE access, 2019, Vol.7, p.53040-53065 [Peer Reviewed Journal] Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2019.2912200 ;CODEN: IAECCG Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
2	Material Type: Article	Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things IEEE access, 2017-01, Vol.5, p.18042-18050 [Peer Reviewed Journal] Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2017 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2017.2747560 ;CODEN: IAECCG Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
3	Material Type: Book	Learning to Understand Remote Sensing Images: Volume 2 https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode ;ISBN: 3038976997 ;ISBN: 9783038976998 ;DOI: 10.3390/books978-3-03897-699-8 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
4	Material Type: Article	Artificial Neural Networks for Microwave Computer-Aided Design: The State of the Art IEEE transactions on microwave theory and techniques, 2022-11, Vol.70 (11), p.4597-4619 [Peer Reviewed Journal] ISSN: 0018-9480 ;EISSN: 1557-9670 ;DOI: 10.1109/TMTT.2022.3197751 ;CODEN: IETMAB Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
5	Material Type: Article	Convolutional Recurrent Deep Learning Model for Sentence Classification IEEE access, 2018-01, Vol.6, p.13949-13957 [Peer Reviewed Journal] Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2018.2814818 ;CODEN: IAECCG Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
6	Material Type: Article	Audio-Based Drone Detection and Identification Using Deep Learning Techniques with Dataset Enhancement through Generative Adversarial Networks Sensors (Basel, Switzerland), 2021-07, Vol.21 (15), p.4953 [Peer Reviewed Journal] 2021 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 (https://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. ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21154953 ;PMID: 34372189 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
7	Material Type: Article	Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features IEEE access, 2018-01, Vol.6, p.1155-1166 [Peer Reviewed Journal] Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2017.2778011 ;CODEN: IAECCG Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
8	Material Type: Article	A State-of-the-Art Survey on Deep Learning Theory and Architectures Electronics (Basel), 2019-03, Vol.8 (3), p.292 [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/electronics8030292 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
9	Material Type: Article	Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection Remote sensing (Basel, Switzerland), 2019-01, Vol.11 (2), p.196 [Peer Reviewed Journal] 2019. This work is licensed under https://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: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11020196 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
10	Material Type: Article	Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction Sensors (Basel, Switzerland), 2017-04, Vol.17 (4), p.818 [Peer Reviewed Journal] 2017. This work is licensed under https://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. ;2017 by the authors. 2017 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s17040818 ;PMID: 28394270 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
11	Material Type: Article	Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM Sensors (Basel, Switzerland), 2021-04, Vol.21 (8), p.2852 [Peer Reviewed Journal] 2021 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 (https://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. ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21082852 ;PMID: 33919583 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
12	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
13	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
14	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
15	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
16	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
17	$Analysis of Diffractive Optical Neural Networks and Their Integration With Electronic Neural Networks$ $Analysis of Diffractive Optical Neural Networks and Their Integration With Electronic Neural Networks$ 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
18	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
19	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
20	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

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Results 1 - 20 of 70,135 for All Library Resources

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2019.2912200 ;CODEN: IAECCG

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2017 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2017.2747560 ;CODEN: IAECCG

https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode ;ISBN: 3038976997 ;ISBN: 9783038976998 ;DOI: 10.3390/books978-3-03897-699-8

ISSN: 0018-9480 ;EISSN: 1557-9670 ;DOI: 10.1109/TMTT.2022.3197751 ;CODEN: IETMAB

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2018.2814818 ;CODEN: IAECCG

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2017.2778011 ;CODEN: IAECCG

2019. This work is licensed under https://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: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11020196

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

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

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