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Applied Soft Computing|July 26, 2021
Designing a testing kit supply network for suspected COVID-19 cases under mixed uncertainty approachSeyyed-Mahdi Hosseini-Motlagh, Mohammad Reza Ghatreh Samani, Parnian FarokhnejadApplied Soft Computing|July 26, 2021
Forecasting fully vaccinated people against COVID-19 and examining future vaccination rate for herd immunity in the US, Asia, Europe, Africa, South America, and the WorldPınar CihanApplied Soft Computing|May 31, 2022
A novel behavioral three-way decision model with application to the treatment of mild symptoms of COVID-19Shi-Fan He, Ying-Ming Wang, Xiaohong Pan, et al.Applied Soft Computing|June 7, 2021
Status evaluation of provinces affected by COVID-19: A qualitative assessment using fuzzy systemBappaditya Ghosh, Animesh BiswasApplied Soft Computing|June 14, 2021
Short-term prediction of COVID-19 spread using grey rolling model optimized by particle swarm optimizationZeynep CeylanApplied Soft Computing|September 28, 2020
An optimized deep learning architecture for the diagnosis of COVID-19 disease based on gravitational search optimizationDalia Ezzat, Aboul Ella Hassanien, Hassan Aboul EllaApplied Soft Computing|January 4, 2021
Multi-criterion Intelligent Decision Support system for COVID-19Lakshita Aggarwal, Puneet Goswami, Shelly SachdevaApplied Soft Computing|March 22, 2021
A new approach for computer-aided detection of coronavirus (COVID-19) from CT and X-ray images using machine learning methodsAhmet SaygılıApplied Soft Computing|March 24, 2021
A novel classifier architecture based on deep neural network for COVID-19 detection using laboratory findingsVolkan Göreke, Vekil Sarı, Serdar KockanatApplied Soft Computing|December 20, 2021
One Shot Model For The Prediction of COVID-19 And Lesions Segmentation In Chest CT Scans Through The Affinity Among Lesion Mask FeaturesAram Ter-SarkisovPageof 16