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Applied Soft Computing|September 5, 2022
Evolutionary algorithm based approach for solving transportation problems in normal and pandemic scenarioAmiya Biswas, Sankar Kumar Roy, Sankar Prasad Mondal
Applied Soft Computing|December 14, 2021
Multi-COVID-Net: Multi-objective optimized network for COVID-19 diagnosis from chest X-ray imagesTripti Goel, R Murugan, Seyedali Mirjalili, et al.
Applied Soft Computing|December 14, 2021
Towards an efficient collection and transport of COVID-19 diagnostic specimens using genetic-based algorithmsTakwa Tlili, Hela Masri, Saoussen Krichen
Applied Soft Computing|November 29, 2021
Multi-center sparse learning and decision fusion for automatic COVID-19 diagnosisZhongwei Huang, Haijun Lei, Guoliang Chen, et al.
Applied Soft Computing|August 8, 2022
An ensemble learning strategy for panel time series forecasting of excess mortality during the COVID-19 pandemicAfshin Ashofteh, Jorge M Bravo, Mercedes Ayuso
Applied Soft Computing|November 8, 2022
Forecasting on Covid-19 infection waves using a rough set filter driven moving average modelsSaurabh Ranjan Srivastava, Yogesh Kumar Meena, Girdhari Singh
Applied Soft Computing|May 5, 2020
Outbreak detection model based on danger theoryMohamad Farhan Mohamad Mohsin, Azuraliza Abu Bakar, Abdul Razak Hamdan
Applied Soft Computing|August 11, 2021
Re-evaluation of the healthcare service quality criteria for the Covid-19 pandemic: Z-number fuzzy cognitive mapNaeira Elyas Pour Babroudi, Kamyar Sabri-Laghaie, Nazli Ghanbari Ghoushchi
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