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1
Application of a Novel and Improved VGG-19 Network in the Detection of Workers Wearing Masks
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Application of a Novel and Improved VGG-19 Network in the Detection of Workers Wearing Masks

Journal 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: 34191934

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2
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
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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

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3
COVID-19 Outbreak Prediction with Machine Learning
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COVID-19 Outbreak Prediction with Machine Learning

Algorithms, 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/a13100249

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4
Rapid Identification of Potential Inhibitors of SARS‐CoV‐2 Main Protease by Deep Docking of 1.3 Billion Compounds
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Rapid Identification of Potential Inhibitors of SARS‐CoV‐2 Main Protease by Deep Docking of 1.3 Billion Compounds

Molecular 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.202000028

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5
Review on COVID-19 diagnosis models based on machine learning and deep learning approaches
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Article
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Review on COVID-19 diagnosis models based on machine learning and deep learning approaches

Expert 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.12759

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6
STAN: spatio-temporal attention network for pandemic prediction using real-world evidence
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STAN: spatio-temporal attention network for pandemic prediction using real-world evidence

Journal 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: 33486527

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7
Text Data Augmentation for Deep Learning
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Text Data Augmentation for Deep Learning

Journal 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: 34306963

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8
Self-supervised learning methods and applications in medical imaging analysis: a survey
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Self-supervised learning methods and applications in medical imaging analysis: a survey

PeerJ. 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: 36091989

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9
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
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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

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10
Deep Learning applications for COVID-19
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Article
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Deep Learning applications for COVID-19

Journal 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: 33457181

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11
Harvesting social media sentiment analysis to enhance stock market prediction using deep learning
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Article
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Harvesting social media sentiment analysis to enhance stock market prediction using deep learning

PeerJ. 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: 33954250

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12
The rising trend of Metaverse in education: challenges, opportunities, and ethical considerations
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Article
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The rising trend of Metaverse in education: challenges, opportunities, and ethical considerations

PeerJ. 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: 37346578

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13
The application of artificial intelligence and data integration in COVID-19 studies: a scoping review
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Article
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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

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14
From ECG signals to images: a transformation based approach for deep learning
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Article
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From ECG signals to images: a transformation based approach for deep learning

PeerJ. 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: 33817032

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15
A Novel Approach for Diabetic Retinopathy Screening Using Asymmetric Deep Learning Features
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Article
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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

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16
Detection of sitting posture using hierarchical image composition and deep learning
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Article
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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

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17
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey
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Article
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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

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18
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 model
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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 model

Journal 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: 33674830

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19
ADID-UNET-a segmentation model for COVID-19 infection from lung CT scans
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Article
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ADID-UNET-a segmentation model for COVID-19 infection from lung CT scans

PeerJ. 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: 33816999

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20
Part of speech tagging: a systematic review of deep learning and machine learning approaches
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Article
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Part of speech tagging: a systematic review of deep learning and machine learning approaches

Journal 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-y

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