Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients

F Khozeimeh, D Sharifrazi, NH Izadi, JH Joloudari… - Scientific Reports, 2021 - nature.com
COVID-19 has caused many deaths worldwide. The automation of the diagnosis of this virus
is highly desired. Convolutional neural networks (CNNs) have shown outstanding …

Controlling the outbreak of COVID-19: A noncooperative game perspective

AK Bairagi, M Masud, MS Munir, AA Nahid… - Ieee …, 2020 - ieeexplore.ieee.org
COVID-19 is a global epidemic. Till now, there is no remedy for this epidemic. However,
isolation and social distancing are seemed to be effective preventive measures to control …

Machine learning-based ensemble approach for predicting the mortality risk of COVID-19 patients: a case study

K Kumar - Intelligent Data Analysis for COVID-19 Pandemic, 2021 - Springer
Recent outbreak of the COVID-19 pandemic in December 2019 has witnessed a rapid
spread from Wuhan, China, to all over the world. This highly transmittable infectious disease …

A noncooperative game analysis for controlling covid-19 outbreak

AK Bairagi, M Masud, DH Kim, MS Munir, A Al Nahid… - medRxiv, 2020 - medrxiv.org
COVID-19 is a global epidemic. Till now, there is no remedy for this epidemic. However,
isolation and social distancing are seemed to be effective to control this pandemic. In this …