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Chaos, Solitons, and Fractals|August 25, 2020
Association between weather data and COVID-19 pandemic predicting mortality rate: Machine learning approachesZohair Malki, El-Sayed Atlam, Aboul Ella Hassanien, et al.
Chaos, Solitons, and Fractals|August 25, 2020
Going by the numbers : Learning and modeling COVID-19 disease dynamicsSayantani Basu, Roy H Campbell
Chaos, Solitons, and Fractals|August 25, 2020
A novel adaptive deep learning model of Covid-19 with focus on mortality reduction strategiesJunaid Farooq, Mohammad Abid Bazaz
Chaos, Solitons, and Fractals|August 25, 2020
Influence of isolation measures for patients with mild symptoms on the spread of COVID-19Qiuhui Pan, Ting Gao, Mingfeng He
Chaos, Solitons, and Fractals|August 25, 2020
A novel mathematical approach of COVID-19 with non-singular fractional derivativeSachin Kumar, Jinde Cao, Mahmoud Abdel-Aty
Chaos, Solitons, and Fractals|August 25, 2020
Prediction of epidemic trends in COVID-19 with logistic model and machine learning technicsPeipei Wang, Xinqi Zheng, Jiayang Li, et al.
Chaos, Solitons, and Fractals|August 25, 2020
Spreading of infections on random graphs: A percolation-type model for COVID-19Fabrizio Croccolo, H Eduardo Roman
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