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1	Material Type: Article	Process‐Guided Deep Learning Predictions of Lake Water Temperature Water resources research, 2019-11, Vol.55 (11), p.9173-9190 [Peer Reviewed Journal] 2019. The Authors. ;2019. This article is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1029/2019WR024922 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
2	Material Type: Article	Stage‐Wise Stochastic Deep Learning Inversion Framework for Subsurface Sedimentary Structure Identification Geophysical research letters, 2022-01, Vol.49 (1), p.n/a [Peer Reviewed Journal] 2021 The Authors. ;2021. This article is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0094-8276 ;EISSN: 1944-8007 ;DOI: 10.1029/2021GL095823 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
3	Material Type: Article	On instabilities of deep learning in image reconstruction and the potential costs of AI Proceedings of the National Academy of Sciences - PNAS, 2020-12, Vol.117 (48), p.30088-30095 [Peer Reviewed Journal] Copyright National Academy of Sciences Dec 1, 2020 ;info:eu-repo/semantics/openAccess ;2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1907377117 ;PMID: 32393633 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
4	Material Type: Article	Brain Tumor/Mass Classification Framework Using Magnetic-Resonance-Imaging-Based Isolated and Developed Transfer Deep-Learning Model Sensors (Basel, Switzerland), 2022-01, Vol.22 (1), p.372 [Peer Reviewed Journal] COPYRIGHT 2022 MDPI AG ;2022 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. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22010372 ;PMID: 35009911 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
5	Material Type: Article	The unreasonable effectiveness of deep learning in artificial intelligence Proceedings of the National Academy of Sciences - PNAS, 2020-12, Vol.117 (48), p.30033-30038 [Peer Reviewed Journal] Copyright National Academy of Sciences Dec 1, 2020 ;2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1907373117 ;PMID: 31992643 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
6	Material Type: Article	Theoretical issues in deep networks Proceedings of the National Academy of Sciences - PNAS, 2020-12, Vol.117 (48), p.30039-30045 [Peer Reviewed Journal] Copyright National Academy of Sciences Dec 1, 2020 ;2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1907369117 ;PMID: 32518109 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
7	Material Type: Article	Predicting Water Temperature Dynamics of Unmonitored Lakes With Meta‐Transfer Learning Water resources research, 2021-07, Vol.57 (7), p.n/a [Peer Reviewed Journal] 2021. The Authors. ;2021. This article 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: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1029/2021WR029579 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
8	Material Type: Article	SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis Remote sensing (Basel, Switzerland), 2021-09, Vol.13 (18), p.3690 [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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13183690 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
9	Material Type: Article	Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning Sensors (Basel, Switzerland), 2021-01, Vol.21 (2), p.455 [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: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21020455 ;PMID: 33440674 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
10	$Polarization multiplexed diffractive computing: all-optical implementation of a group of linear transformations through a polarization-encoded diffractive network$ $Polarization multiplexed diffractive computing: all-optical implementation of a group of linear transformations through a polarization-encoded diffractive network$ Material Type: Article	Polarization multiplexed diffractive computing: all-optical implementation of a group of linear transformations through a polarization-encoded diffractive network Light, science & applications, 2022-05, Vol.11 (1), p.153-153, Article 153 [Peer Reviewed Journal] 2022. The Author(s). ;The Author(s) 2022. 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. ;The Author(s) 2022 ;ISSN: 2047-7538 ;ISSN: 2095-5545 ;EISSN: 2047-7538 ;DOI: 10.1038/s41377-022-00849-x ;PMID: 35614046 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
11	Material Type: Article	Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects IEEE journal of selected topics in applied earth observations and remote sensing, 2022, Vol.15, p.968-999 [Peer Reviewed Journal] Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022 ;ISSN: 1939-1404 ;EISSN: 2151-1535 ;DOI: 10.1109/JSTARS.2021.3133021 ;CODEN: IJSTHZ Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
12	$Design of task-specific optical systems using broadband diffractive neural networks$ $Design of task-specific optical systems using broadband diffractive neural networks$ Material Type: Article	Design of task-specific optical systems using broadband diffractive neural networks Light, science & applications, 2019-12, Vol.8 (1), p.112-14, Article 112 [Peer Reviewed Journal] The Author(s) 2019. ;2019. 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. ;The Author(s) 2019 ;ISSN: 2047-7538 ;ISSN: 2095-5545 ;EISSN: 2047-7538 ;DOI: 10.1038/s41377-019-0223-1 ;PMID: 31814969 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
13	Material Type: Article	Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images Sensors (Basel, Switzerland), 2019-03, Vol.19 (6), p.1265 [Peer Reviewed Journal] 2019 by the authors. 2019 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s19061265 ;PMID: 30871162 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
14	Material Type: Article	Word2vec convolutional neural networks for classification of news articles and tweets PloS one, 2019-08, Vol.14 (8), p.e0220976-e0220976 [Peer Reviewed Journal] COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Jang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 Jang et al 2019 Jang et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0220976 ;PMID: 31437181 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
15	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
16	Material Type: Article	Deep-learning-enabled self-adaptive microwave cloak without human intervention Nature photonics, 2020-06, Vol.14 (6), p.383-390 [Peer Reviewed Journal] The Author(s), under exclusive licence to Springer Nature Limited 2020. ;ISSN: 1749-4885 ;EISSN: 1749-4893 ;DOI: 10.1038/s41566-020-0604-2 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
17	Material Type: Article	A Novel Two-Stage Induced Deep Learning System for Classifying Similar Drugs with Diverse Packaging Sensors (Basel, Switzerland), 2023-08, Vol.23 (16), p.7275 [Peer Reviewed Journal] COPYRIGHT 2023 MDPI AG ;2023 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. ;2023 by the authors. 2023 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s23167275 ;PMID: 37631811 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
18	Material Type: Article	Uncovering Flooding Mechanisms Across the Contiguous United States Through Interpretive Deep Learning on Representative Catchments Water resources research, 2022-01, Vol.58 (1), p.n/a [Peer Reviewed Journal] 2021. American Geophysical Union. All Rights Reserved. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1029/2021WR030185 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
19	Material Type: Article	How can Big Data and machine learning benefit environment and water management: a survey of methods, applications, and future directions Environmental research letters, 2019-07, Vol.14 (7), p.73001 [Peer Reviewed Journal] 2019 The Author(s). Published by IOP Publishing Ltd ;2019. This work is published 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: 1748-9326 ;EISSN: 1748-9326 ;DOI: 10.1088/1748-9326/ab1b7d ;CODEN: ERLNAL Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
20	Material Type: Article	The difficulty of computing stable and accurate neural networks: On the barriers of deep learning and Smale's 18th problem Proceedings of the National Academy of Sciences - PNAS, 2022-03, Vol.119 (12), p.e2107151119-e2107151119 [Peer Reviewed Journal] Copyright National Academy of Sciences Mar 22, 2022 ;info:eu-repo/semantics/openAccess ;Copyright © 2022 the Author(s). Published by PNAS. 2022 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2107151119 ;PMID: 35294283 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by

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Results 1 - 20 of 30,737 for All Library Resources

Copyright National Academy of Sciences Dec 1, 2020 ;info:eu-repo/semantics/openAccess ;2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1907377117 ;PMID: 32393633

Copyright National Academy of Sciences Dec 1, 2020 ;2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1907373117 ;PMID: 31992643

Copyright National Academy of Sciences Dec 1, 2020 ;2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1907369117 ;PMID: 32518109

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022 ;ISSN: 1939-1404 ;EISSN: 2151-1535 ;DOI: 10.1109/JSTARS.2021.3133021 ;CODEN: IJSTHZ

2019 by the authors. 2019 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s19061265 ;PMID: 30871162

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

The Author(s), under exclusive licence to Springer Nature Limited 2020. ;ISSN: 1749-4885 ;EISSN: 1749-4893 ;DOI: 10.1038/s41566-020-0604-2

2021. American Geophysical Union. All Rights Reserved. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1029/2021WR030185

Copyright National Academy of Sciences Mar 22, 2022 ;info:eu-repo/semantics/openAccess ;Copyright © 2022 the Author(s). Published by PNAS. 2022 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2107151119 ;PMID: 35294283

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