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IEEE Access : Practical Innovations, Open Solutions|November 17, 2021
An Effective Machine Learning Approach for Identifying Non-Severe and Severe Coronavirus Disease 2019 Patients in a Rural Chinese Population: The Wenzhou Retrospective StudyPeiliang Wu, Hua Ye, Xueding Cai, et al.
IEEE Access : Practical Innovations, Open Solutions|November 17, 2021
Machine Learning on the COVID-19 Pandemic, Human Mobility and Air Quality: A ReviewMd Mokhlesur Rahman, Kamal Chandra Paul, Md Amjad Hossain, et al.
IEEE Access : Practical Innovations, Open Solutions|November 17, 2021
Cough Sound Detection and Diagnosis Using Artificial Intelligence Techniques: Challenges and OpportunitiesKawther S Alqudaihi, Nida Aslam, Irfan Ullah Khan, et al.
IEEE Access : Practical Innovations, Open Solutions|November 17, 2021
IoT MEMS: IoT-Based Paradigm for Medical Equipment Management Systems of ICUs in Light of COVID-19 OutbreakAbdulaziz Aborujilah, Abubaker-Eseddig Fathi Mahmoud Elsebaie, Shamsul Anuar Mokhtar
IEEE Access : Practical Innovations, Open Solutions|December 10, 2021
Skin Electrical Resistance as a Diagnostic and Therapeutic Biomarker of Breast Cancer Measuring Lymphatic RegionsNatasha Andreasen, Henry Crandall, Owen Brimhall, et al.
IEEE Access : Practical Innovations, Open Solutions|December 6, 2021
On the Identification of Noise Covariances and Adaptive Kalman Filtering: A New Look at a 50 Year-Old ProblemLingyi Zhang, David Sidoti, Adam Bienkowski, et al.
IEEE Access : Practical Innovations, Open Solutions|December 6, 2021
Adaptive Bayesian Learning and Forecasting of Epidemic Evolution-Data Analysis of the COVID-19 OutbreakDomenico Gaglione, Paolo Braca, Leonardo Maria Millefiori, et al.
IEEE Access : Practical Innovations, Open Solutions|January 3, 2022
DL-CRC: Deep Learning-Based Chest Radiograph Classification for COVID-19 Detection: A Novel ApproachSadman Sakib, Tahrat Tazrin, Mostafa M Fouda, et al.
IEEE Access : Practical Innovations, Open Solutions|January 3, 2022
SRIS: Saliency-Based Region Detection and Image Segmentation of COVID-19 Infected CasesAditi Joshi, Mohammed Saquib Khan, Shafiullah Soomro, et al.
IEEE Access : Practical Innovations, Open Solutions|January 3, 2022
Classification of COVID-19 and Other Pathogenic Sequences: A Dinucleotide Frequency and Machine Learning ApproachGciniwe S Dlamini, Stephanie J Muller, Rebone L Meraba, et al.
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