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Chaos, Solitons, and Fractals|August 25, 2020
Modeling and prediction of COVID-19 in Mexico applying mathematical and computational modelsO Torrealba-Rodriguez, R A Conde-Gutiérrez, A L Hernández-Javier
Chaos, Solitons, and Fractals|August 25, 2020
A deep learning and grad-CAM based color visualization approach for fast detection of COVID-19 cases using chest X-ray and CT-Scan imagesHarsh Panwar, P K Gupta, Mohammad Khubeb Siddiqui, et al.
Chaos, Solitons, and Fractals|March 29, 2021
A fractional-order model describing the dynamics of the novel coronavirus (COVID-19) with nonsingular kernelAhmed Boudaoui, Yacine El Hadj Moussa, Zakia Hammouch, et al.
Chaos, Solitons, and Fractals|April 15, 2024
COVID-19 dynamics and immune response: Linking within-host and between-host dynamicsMatthew O Adewole, Taye Samuel Faniran, Farah A Abdullah, et al.
Chaos, Solitons, and Fractals|January 17, 2022
Towards predicting COVID-19 infection waves: A random-walk Monte Carlo simulation approachD P Mahapatra, S Triambak
Chaos, Solitons, and Fractals|September 28, 2021
Ranking non-pharmaceutical interventions against Covid-19 global pandemic using global sensitivity analysis-Effect on number of deathsKalpana Hanthanan Arachchilage, Mohammed Yousuff Hussaini
Chaos, Solitons, and Fractals|January 31, 2022
Multifractal analysis of chest CT images of patients with the 2019 novel coronavirus disease (COVID-19)Bandar Astinchap, Hamta Ghanbaripour, Raziye Amuzgar
Chaos, Solitons, and Fractals|October 18, 2021
A fractional-order model for COVID-19 and tuberculosis co-infection using Atangana-Baleanu derivativeA Omame, M Abbas, C P Onyenegecha
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