Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Article
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Application of a Novel and Improved VGG-19 Network in the Detection of Workers Wearing MasksJournal of Physics: Conference Series, 2020-04, Vol.1518 (1), p.12041-012041 [Peer Reviewed Journal]Published under licence by IOP Publishing Ltd ;2020. 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. ;Published under licence by IOP Publishing Ltd 2020 ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1518/1/012041 ;PMID: 34191934Digital Resources/Online E-Resources |
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2 |
Material Type: Article
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Review of deep learning: concepts, CNN architectures, challenges, applications, future directionsJournal 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: 33816053Full text available |
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3 |
Material Type: Article
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COVID-19 Outbreak Prediction with Machine LearningAlgorithms, 2020-10, Vol.13 (10), p.249 [Peer Reviewed Journal]COPYRIGHT 2020 MDPI AG ;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: 1999-4893 ;EISSN: 1999-4893 ;DOI: 10.3390/a13100249Full text available |
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4 |
Material Type: Article
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Rapid Identification of Potential Inhibitors of SARS‐CoV‐2 Main Protease by Deep Docking of 1.3 Billion CompoundsMolecular Informatics, 2020-08 [Peer Reviewed Journal]2020. 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/minf.202000028Digital Resources/Online E-Resources |
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5 |
Material Type: Article
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Review on COVID-19 diagnosis models based on machine learning and deep learning approachesExpert Systems, 2022-03 [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: 10.1111/exsy.12759Digital Resources/Online E-Resources |
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6 |
Material Type: Article
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STAN: spatio-temporal attention network for pandemic prediction using real-world evidenceJournal of the American Medical Informatics Association, 2021-03, Vol.28 (4), p.733-743 [Peer Reviewed Journal]The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association. ;2021. 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) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association. 2021 ;ISSN: 1527-974X ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocaa322 ;PMID: 33486527Digital Resources/Online E-Resources |
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7 |
Material Type: Article
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Text Data Augmentation for Deep LearningJournal of big data, 2021-07, Vol.8 (1), p.101-101, Article 101 [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/s40537-021-00492-0 ;PMID: 34306963Full text available |
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Material Type: Article
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Self-supervised learning methods and applications in medical imaging analysis: a surveyPeerJ. Computer science, 2022-07, Vol.8, p.e1045-e1045, Article e1045 [Peer Reviewed Journal]COPYRIGHT 2022 PeerJ. Ltd. ;2022 Shurrab 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 Shurrab et al. 2022 Shurrab et al. ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.1045 ;PMID: 36091989Full text available |
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9 |
Material Type: Article
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A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applicationsJournal 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/s40537-023-00727-2Full text available |
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10 |
Material Type: Article
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Deep Learning applications for COVID-19Journal of big data, 2021-01, Vol.8 (1), p.18-18, Article 18 [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/s40537-020-00392-9 ;PMID: 33457181Full text available |
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11 |
Material Type: Article
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Harvesting social media sentiment analysis to enhance stock market prediction using deep learningPeerJ. Computer science, 2021-04, Vol.7, p.e476-e476, Article e476 [Peer Reviewed Journal]2021 Mehta et al. ;COPYRIGHT 2021 PeerJ. Ltd. ;2021 Shah 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 Mehta et al. 2021 Shah et al. ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.476 ;PMID: 33954250Full text available |
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12 |
Material Type: Article
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The rising trend of Metaverse in education: challenges, opportunities, and ethical considerationsPeerJ. Computer science, 2023-02, Vol.9, p.e1252-e1252, Article e1252 [Peer Reviewed Journal]2023 Kaddoura and Al Husseiny. ;COPYRIGHT 2023 PeerJ. Ltd. ;2023 Kaddoura and Al Husseiny. 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. ;2023 Kaddoura and Al Husseiny 2023 Kaddoura and Al Husseiny ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.1252 ;PMID: 37346578Full text available |
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13 |
Material Type: Article
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The application of artificial intelligence and data integration in COVID-19 studies: a scoping reviewJournal 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: 34151987Digital Resources/Online E-Resources |
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14 |
Material Type: Article
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From ECG signals to images: a transformation based approach for deep learningPeerJ. Computer science, 2021-02, Vol.7, p.e386-e386, Article e386 [Peer Reviewed Journal]2021 Naz et al. ;COPYRIGHT 2021 PeerJ. Ltd. ;2021 Naz 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 Naz et al. 2021 Naz et al. ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.386 ;PMID: 33817032Full text available |
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15 |
Material Type: Article
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A Novel Approach for Diabetic Retinopathy Screening Using Asymmetric Deep Learning FeaturesBig 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/bdcc7010025Full text available |
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16 |
Material Type: Article
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Detection of sitting posture using hierarchical image composition and deep learningPeerJ. 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: 33834109Full text available |
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17 |
Material Type: Article
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Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A SurveyMachine 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/make3040048Full text available |
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18 |
Material Type: Article
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COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data modelJournal of the American Medical Informatics Association, 2021-06, Vol.28 (6), p.1275-1283 [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 ;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. 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/ocab015 ;PMID: 33674830Digital Resources/Online E-Resources |
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Material Type: Article
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ADID-UNET-a segmentation model for COVID-19 infection from lung CT scansPeerJ. Computer science, 2021-01, Vol.7, p.e349-e349, Article e349 [Peer Reviewed Journal]2021 Joseph Raj et al. ;COPYRIGHT 2021 PeerJ. Ltd. ;2021 Joseph Raj 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 Joseph Raj et al. 2021 Joseph Raj et al. ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.349 ;PMID: 33816999Full text available |
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20 |
Material Type: Article
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Part of speech tagging: a systematic review of deep learning and machine learning approachesJournal of big data, 2022-01, Vol.9 (1), p.1-25, Article 10 [Peer Reviewed Journal]The Author(s) 2022 ;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. ;ISSN: 2196-1115 ;EISSN: 2196-1115 ;DOI: 10.1186/s40537-022-00561-yFull text available |