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IEEE Access : Practical Innovations, Open Solutions|November 23, 2021
Controlling the Outbreak of COVID-19: A Noncooperative Game PerspectiveAnupam Kumar Bairagi, Mehedi Masud, Do Hyeon Kim, et al.
IEEE Access : Practical Innovations, Open Solutions|November 23, 2021
Development of a Multi-Dimensional Parametric Model With Non-Pharmacological Policies for Predicting the COVID-19 Pandemic CasualtiesOnder Tutsoy, Adem Polat, Sule Colak, et al.
IEEE Access : Practical Innovations, Open Solutions|November 23, 2021
Cross-Regional Customized Bus Route Planning Considering Staggered Commuting During the COVID-19Ange Wang, Hongzhi Guan, Pengfei Wang, et al.
IEEE Access : Practical Innovations, Open Solutions|November 23, 2021
Blockchains for COVID-19 Contact Tracing and Vaccine Support: A Systematic ReviewLaura Ricci, Damiano Di Francesco Maesa, Alfredo Favenza, et al.
IEEE Access : Practical Innovations, Open Solutions|November 23, 2021
Bias Analysis on Public X-Ray Image Datasets of Pneumonia and COVID-19 PatientsOmar Del Tejo Catala, Ismael Salvador Igual, Francisco Javier Perez-Benito, et al.
IEEE Access : Practical Innovations, Open Solutions|November 23, 2021
Research on the Early-Warning Model of Network Public Opinion of Major EmergenciesLi-Jie Peng, Xi-Gao Shao, Wan-Ming Huang
IEEE Access : Practical Innovations, Open Solutions|November 23, 2021
Blockchain-Based Forward Supply Chain and Waste Management for COVID-19 Medical Equipment and SuppliesRaja Wasim Ahmad, Khaled Salah, Raja Jayaraman, et al.
IEEE Access : Practical Innovations, Open Solutions|November 23, 2021
COVID-Scraper: An Open-Source Toolset for Automatically Scraping and Processing Global Multi-Scale Spatiotemporal COVID-19 RecordsHai Lan, Dexuan Sha, Anusha Srirenganathan Malarvizhi, et al.
IEEE Access : Practical Innovations, Open Solutions|April 9, 2019
Enhancement of Perivascular Spaces Using Densely Connected Deep Convolutional Neural NetworkEuijin Jung, Philip Chikontwe, Xiaopeng Zong, et al.
IEEE Access : Practical Innovations, Open Solutions|February 10, 2021
Exploring Uncertainty Measures in Bayesian Deep Attentive Neural Networks for Prostate Zonal SegmentationYongkai Liu, Guang Yang, Melina Hosseiny, et al.
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