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Applied Soft Computing|December 13, 2021
Machine learning-based forecasting of firemen ambulances' turnaround time in hospitals, considering the COVID-19 impactSelene Cerna, Héber H Arcolezi, Christophe Guyeux, et al.Applied Soft Computing|December 13, 2021
Fully automatic deep convolutional approaches for the analysis of COVID-19 using chest X-ray imagesJoaquim de Moura, Jorge Novo, Marcos OrtegaApplied Soft Computing|February 22, 2021
CoVNet-19: A Deep Learning model for the detection and analysis of COVID-19 patientsPriyansh Kedia, Anjum, Rahul KataryaApplied Soft Computing|August 2, 2021
Grey forecasting models based on internal optimization for Novel Corona virus (COVID-19)Akash SaxenaApplied Soft Computing|May 5, 2020
Applications of machine learning techniques to a sensor-network-based prosthesis training systemChenn-Jung Huang, Yu-Wu Wang, Tz-Hau Huang, et al.Applied Soft Computing|November 17, 2020
AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI systemBo Wang, Shuo Jin, Qingsen Yan, et al.Applied Soft Computing|November 18, 2020
Detecting COVID-19 patients based on fuzzy inference engine and Deep Neural NetworkWarda M Shaban, Asmaa H Rabie, Ahmed I Saleh, et al.Applied Soft Computing|September 9, 2020
Analyzing COVID-19 virus based on enhanced fragmented biological Local Aligner using improved Ions Motion Optimization algorithmMohamed Issa, Mohamed Abd ElazizApplied Soft Computing|July 19, 2021
Harris Hawks optimisation with Simulated Annealing as a deep feature selection method for screening of COVID-19 CT-scansRajarshi Bandyopadhyay, Arpan Basu, Erik Cuevas, et al.Applied Soft Computing|July 26, 2021
An oppositional-Cauchy based GSK evolutionary algorithm with a novel deep ensemble reinforcement learning strategy for COVID-19 diagnosisSeyed Mohammad Jafar Jalali, Milad Ahmadian, Sajad Ahmadian, et al.Pageof 16