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Applied Soft Computing|September 29, 2021
Ecotourism supply chain during the COVID-19 pandemic: A real case studySeyyed Mehdi Hosseini, Mohammad Mahdi Paydar, Mehdi Alizadeh, et al.Applied Soft Computing|May 11, 2023
Designing reverse logistics network for healthcare waste management considering epidemic disruptions under uncertaintySaeede Nosrati-Abarghooee, Mohammad Sheikhalishahi, Mohammad Mahdi Nasiri, et al.Applied Soft Computing|August 25, 2020
A novel extended approach under hesitant fuzzy sets to design a framework for assessing the key challenges of digital health interventions adoption during the COVID-19 outbreakAbbas Mardani, Mahyar Kamali Saraji, Arunodaya Raj Mishra, et al.Applied Soft Computing|April 3, 2023
A data-driven group emergency decision-making method based on interval-valued intuitionistic hesitant fuzzy sets and its application in COVID-19 pandemicKang Du, Ruguo Fan, Yuanyuan Wang, et al.Applied Soft Computing|December 27, 2021
COVID-19 Symptoms app analysis to foresee healthcare impacts: Evidence from Northern IrelandJosé Sousa, João Barata, Hugo C van Woerden, et al.Applied Soft Computing|February 21, 2022
Detection of COVID19 from X-ray images using multiscale Deep Convolutional Neural NetworkNeha Muralidharan, Shaurya Gupta, Manas Ranjan Prusty, et al.Applied Soft Computing|April 27, 2022
A deep fuzzy model for diagnosis of COVID-19 from CT imagesLiping Song, Xinyu Liu, Shuqi Chen, et al.Applied Soft Computing|April 4, 2022
COVID-WideNet-A capsule network for COVID-19 detectionP K Gupta, Mohammad Khubeb Siddiqui, Xiaodi Huang, et al.Applied Soft Computing|October 14, 2021
A two-layer nested heterogeneous ensemble learning predictive method for COVID-19 mortalityShaoze Cui, Yanzhang Wang, Dujuan Wang, et al.Pageof 16