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Material Type: Article
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Thermodynamics-based Artificial Neural Networks for constitutive modelingJournal of the mechanics and physics of solids, 2021-02, Vol.147 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0022-5096 ;DOI: 10.1016/j.jmps.2020.104277Digital Resources/Online E-Resources |
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Material Type: Article
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Solving multiple linear regression problem using artificial neural networkInternational journal of electrical and computer engineering (Malacca, Malacca), 2022-02, Vol.12 (1), p.770Copyright IAES Institute of Advanced Engineering and Science Feb 2022 ;ISSN: 2088-8708 ;EISSN: 2722-2578 ;EISSN: 2088-8708 ;DOI: 10.11591/ijece.v12i1.pp770-775Full text available |
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DeepCpG: accurate prediction of single-cell DNA methylation states using deep learningGenome Biology, 2017-04, Vol.18 (1), p.67-67, Article 67 [Peer Reviewed Journal]2017. 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). 2017 ;ISSN: 1474-760X ;ISSN: 1474-7596 ;EISSN: 1474-760X ;DOI: 10.1186/s13059-017-1189-z ;PMID: 28395661Full text available |
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The structure of reconstructed flows in latent spacesChaos (Woodbury, N.Y.), 2020-09, Vol.30 (9), p.093109-093109 [Peer Reviewed Journal]Author(s) ;2020 Author(s). Published under license by AIP Publishing. ;ISSN: 1054-1500 ;EISSN: 1089-7682 ;DOI: 10.1063/5.0013714 ;CODEN: CHAOEHFull text available |
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Convolutional neural networks automate detection for tracking of submicron-scale particles in 2D and 3DProceedings of the National Academy of Sciences - PNAS, 2018-09, Vol.115 (36), p.9026-9031 [Peer Reviewed Journal]Volumes 1–89 and 106–115, copyright as a collective work only; author(s) retains copyright to individual articles ;Copyright National Academy of Sciences Sep 4, 2018 ;2018 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1804420115 ;PMID: 30135100Full text available |
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Material Type: Article
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Editorial: From Pioneering Artificial Neural Networks to Deep Learning and BeyondInternational journal of neural systems, 2021-05, Vol.31 (5) [Peer Reviewed Journal]2021, The Author(s) ;ISSN: 0129-0657 ;EISSN: 1793-6462 ;DOI: 10.1142/S0129065721030040Digital Resources/Online E-Resources |
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Material Type: Article
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Performance Analysis of Various Activation Functions in Artificial Neural NetworksJournal of physics. Conference series, 2019-06, Vol.1237 (2), p.22030 [Peer Reviewed Journal]Published under licence 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: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1237/2/022030Full text available |
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Material Type: Article
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Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of SoilMathematical problems in engineering, 2021, Vol.2021, p.1-15 [Peer Reviewed Journal]Copyright © 2021 Quang Hung Nguyen et al. ;COPYRIGHT 2021 Hindawi Limited ;Copyright © 2021 Quang Hung Nguyen et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 ;ISSN: 1024-123X ;ISSN: 1563-5147 ;EISSN: 1563-5147 ;DOI: 10.1155/2021/4832864Full text available |
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Material Type: Article
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A Survey on the Explainability of Supervised Machine LearningThe Journal of artificial intelligence research, 2021-01, Vol.70, p.245-317 [Peer Reviewed Journal]2021. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://www.jair.org/index.php/jair/about ;ISSN: 1076-9757 ;EISSN: 1943-5037 ;DOI: 10.1613/jair.1.12228Full text available |
10 |
Material Type: Article
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Chemistry reduction using machine learning trained from non-premixed micro-mixing modeling: Application to DNS of a syngas turbulent oxy-flame with side-wall effectsCombustion and flame, 2020-10, Vol.220, p.119-129 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0010-2180 ;EISSN: 1556-2921 ;DOI: 10.1016/j.combustflame.2020.06.008Digital Resources/Online E-Resources |
11 |
Material Type: Article
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A review on computational intelligence for identification of nonlinear dynamical systemsNonlinear dynamics, 2020, Vol.99 (2), p.1709-1761 [Peer Reviewed Journal]Springer Nature B.V. 2020 ;Nonlinear Dynamics is a copyright of Springer, (2020). All Rights Reserved. ;ISSN: 0924-090X ;EISSN: 1573-269X ;DOI: 10.1007/s11071-019-05430-7Full text available |
12 |
Material Type: Article
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Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide DetectionRemote 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/rs11020196Full text available |
13 |
Material Type: Article
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Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network scienceNature communications, 2018-06, Vol.9 (1), p.2383-12, Article 2383 [Peer Reviewed Journal]2018. 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) 2018 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-018-04316-3 ;PMID: 29921910Full text available |
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Material Type: Article
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A graph-convolutional neural network model for the prediction of chemical reactivityChemical science (Cambridge), 2019-01, Vol.10 (2), p.370-377 [Peer Reviewed Journal]Copyright Royal Society of Chemistry 2019 ;ISSN: 2041-6520 ;EISSN: 2041-6539 ;DOI: 10.1039/c8sc04228d ;PMID: 30746086Full text available |
15 |
Material Type: Article
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A CNN-BiLSTM-AM method for stock price predictionNeural computing & applications, 2021-05, Vol.33 (10), p.4741-4753 [Peer Reviewed Journal]Springer-Verlag London Ltd., part of Springer Nature 2020 ;Springer-Verlag London Ltd., part of Springer Nature 2020. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-020-05532-zFull text available |
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Material Type: Article
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A guide to machine learning for biologistsNature 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: 34518686Full text available |
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Material Type: Article
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A novel approach to predict shear strength of tilted angle connectors using artificial intelligence techniquesEngineering with computers, 2021-07, Vol.37 (3), p.2089-2109 [Peer Reviewed Journal]Springer-Verlag London Ltd., part of Springer Nature 2020 ;Springer-Verlag London Ltd., part of Springer Nature 2020. ;ISSN: 0177-0667 ;EISSN: 1435-5663 ;DOI: 10.1007/s00366-019-00930-xFull text available |
18 |
Material Type: Article
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Quantum convolutional neural networksNature physics, 2019-12, Vol.15 (12), p.1273-1278 [Peer Reviewed Journal]Copyright Nature Publishing Group Dec 2019 ;ISSN: 1745-2473 ;EISSN: 1745-2481 ;DOI: 10.1038/s41567-019-0648-8Full text available |
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Material Type: Article
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Efficient representation of quantum many-body states with deep neural networksNature communications, 2017-09, Vol.8 (1), p.662-6, Article 662 [Peer Reviewed Journal]2017. 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) 2017 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-017-00705-2 ;PMID: 28939812Full text available |
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Material Type: Book
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Application of Artificial Neural Networks in Geoinformaticshttps://creativecommons.org/licenses/by-nc-nd/4.0/legalcode ;ISBN: 3038427411 ;ISBN: 9783038427414 ;ISBN: 9783038427421 ;ISBN: 303842742X ;DOI: 10.3390/books978-3-03842-741-4Full text available |