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Peer-reviewed Journals (1,288)

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subject: Neural Networks

Result Number	Material Type	Record Details and Options
1	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
2	Material Type: Article	A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications Journal of big data, 2023-12, Vol.10 (1), p.46-82, Article 46 [Peer Reviewed Journal] Crown 2023 ;Crown 2023. 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/s40537-023-00727-2 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
3	Material Type: Article	A Complete VADER-Based Sentiment Analysis of Bitcoin (BTC) Tweets during the Era of COVID-19 Big data and cognitive computing, 2020, Vol.4 (4), p.33 [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. ;ISSN: 2504-2289 ;EISSN: 2504-2289 ;DOI: 10.3390/bdcc4040033 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
4	Material Type: Article	The application of artificial intelligence and data integration in COVID-19 studies: a scoping review Journal of the American Medical Informatics Association, 2021-09, Vol.28 (9), p.2050-2067 [Peer Reviewed Journal] The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com 2021 ;2021. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://academic.oup.com/journals/pages/coronavirus . ;ISSN: 1527-974X ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocab098 ;PMID: 34151987 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
5	Material Type: Article	Machine Learning Techniques for Chronic Kidney Disease Risk Prediction Big data and cognitive computing, 2022-09, Vol.6 (3), p.98 [Peer Reviewed Journal] 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. ;ISSN: 2504-2289 ;EISSN: 2504-2289 ;DOI: 10.3390/bdcc6030098 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
6	Material Type: Article	A Novel Approach for Diabetic Retinopathy Screening Using Asymmetric Deep Learning Features Big data and cognitive computing, 2023-01, Vol.7 (1), p.25 [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. ;ISSN: 2504-2289 ;EISSN: 2504-2289 ;DOI: 10.3390/bdcc7010025 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
7	Material Type: Article	Detection of sitting posture using hierarchical image composition and deep learning PeerJ. Computer science, 2021-03, Vol.7, p.e442-e442, Article e442 [Peer Reviewed Journal] 2021 Kulikajevas et al. ;COPYRIGHT 2021 PeerJ. Ltd. ;2021 Kulikajevas et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 Kulikajevas et al. 2021 Kulikajevas et al. ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.442 ;PMID: 33834109 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
8	Material Type: Article	Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey Machine learning and knowledge extraction, 2021-12, Vol.3 (4), p.966-989 [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: 2504-4990 ;EISSN: 2504-4990 ;DOI: 10.3390/make3040048 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
9	Material Type: Article	Artificial intelligence approaches and mechanisms for big data analytics: a systematic study PeerJ. Computer science, 2021-04, Vol.7, p.e488-e488, Article e488 [Peer Reviewed Journal] 2021 Rahmani et al. ;COPYRIGHT 2021 PeerJ. Ltd. ;2021 Rahmani et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 Rahmani et al. 2021 Rahmani et al. ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.488 ;PMID: 33954253 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
10	Material Type: Article	AI-driven deep CNN approach for multi-label pathology classification using chest X-Rays PeerJ. Computer science, 2021-04, Vol.7, p.e495-e495, Article e495 [Peer Reviewed Journal] 2021 Albahli et al. ;COPYRIGHT 2021 COPYRIGHT 2012-2015 PeerJ, Inc / Public user content licensed CC-BY 4.0 unless otherwise specified. Content is available for free at https://peerj.com ;COPYRIGHT 2021 PeerJ. Ltd. ;2021 Albahli et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 Albahli et al. 2021 Albahli et al. ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.495 ;PMID: 33977135 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
11	Material Type: Article	A survey on generative adversarial networks for imbalance problems in computer vision tasks Journal of big data, 2021-01, Vol.8 (1), p.27-27, Article 27 [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/s40537-021-00414-0 ;PMID: 33552840 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
12	Material Type: Article	Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification PeerJ. Computer science, 2022-04, Vol.8, p.e956-e956, Article e956 [Peer Reviewed Journal] 2022 Zivkovic et al. ;COPYRIGHT 2022 PeerJ. Ltd. ;2022 Zivkovic et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 Zivkovic et al. 2022 Zivkovic et al. ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.956 ;PMID: 35634110 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
13	Material Type: Article	Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier PeerJ. Computer science, 2021-05, Vol.7, p.e456-e456, Article e456 [Peer Reviewed Journal] 2021 Ramasamy et al. ;COPYRIGHT 2021 PeerJ. Ltd. ;2021 Ramasamy et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 Ramasamy et al. 2021 Ramasamy et al. ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.456 ;PMID: 34013026 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
14	Material Type: Article	Fuzzy Neural Network Expert System with an Improved Gini Index Random Forest-Based Feature Importance Measure Algorithm for Early Diagnosis of Breast Cancer in Saudi Arabia Big data and cognitive computing, 2022-03, Vol.6 (1), p.13 [Peer Reviewed Journal] 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. ;ISSN: 2504-2289 ;EISSN: 2504-2289 ;DOI: 10.3390/bdcc6010013 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
15	Material Type: Article	NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network International Journal of Intelligent Systems, 2022-02 [Peer Reviewed Journal] 2021. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://novel-coronavirus.onlinelibrary.wiley.com ;DOI: 10.1002/int.22686 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
16	Material Type: Article	Determining the number of hidden layer and hidden neuron of neural network for wind speed prediction PeerJ. Computer science, 2021-09, Vol.7, p.e724-e724, Article e724 [Peer Reviewed Journal] COPYRIGHT 2021 PeerJ. Ltd. ;2021 Rachmatullah et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 Rachmatullah et al. 2021 Rachmatullah et al. ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.724 ;PMID: 34616896 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
17	Material Type: Article	A Comparative Analysis of Object Detection Metrics with a Companion Open-Source Toolkit Electronics (Basel), 2021-02, Vol.10 (3), p.279 [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. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics10030279 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
18	Material Type: Article	Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images PeerJ. Computer science, 2022-07, Vol.8, p.e1031-e1031, Article e1031 [Peer Reviewed Journal] COPYRIGHT 2022 PeerJ. Ltd. ;2022 Albashish. This is an open access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 Albashish 2022 Albashish ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.1031 ;PMID: 35875641 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
19	Material Type: Article	ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19 PeerJ. Computer science, 2021-05, Vol.7, p.e551, Article e551 [Peer Reviewed Journal] COPYRIGHT 2021 PeerJ. Ltd. ;2021 Chowdhury et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 Chowdhury et al. 2021 Chowdhury et al. ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.551 ;PMID: 34141883 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
20	Material Type: Article	Arabic Tweets-Based Sentiment Analysis to Investigate the Impact of COVID-19 in KSA: A Deep Learning Approach Big data and cognitive computing, 2023, Vol.7 (1), p.16 [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. ;ISSN: 2504-2289 ;EISSN: 2504-2289 ;DOI: 10.3390/bdcc7010016 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by