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Chaos, Solitons, and Fractals|May 10, 2021
Modeling, analysis and prediction of new variants of covid-19 and dengue co-infection on complex networkAttiq Ul Rehman, Ram Singh, Praveen Agarwal
Chaos, Solitons, and Fractals|May 19, 2015
Discovering independent parameters in complex dynamical systemsClaudia Lainscsek, Jonathan Weyhenmeyer, Terrence J Sejnowski, et al.
Chaos, Solitons, and Fractals|June 6, 2020
Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for BrazilMatheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Viviana Cocco Mariani, et al.
Chaos, Solitons, and Fractals|June 6, 2020
Statistical analysis of forecasting COVID-19 for upcoming month in PakistanMuhammad Yousaf, Samiha Zahir, Muhammad Riaz, et al.
Chaos, Solitons, and Fractals|June 16, 2020
Application of deep learning for fast detection of COVID-19 in X-Rays using nCOVnetHarsh Panwar, P K Gupta, Mohammad Khubeb Siddiqui, et al.
Chaos, Solitons, and Fractals|June 11, 2020
How to reduce epidemic peaks keeping under control the time-span of the epidemicMariano Cadoni
Chaos, Solitons, and Fractals|September 15, 2021
A fractional-order model of COVID-19 considering the fear effect of the media and social networks on the communityFatma Bozkurt, Ali Yousef, Thabet Abdeljawad, et al.
Chaos, Solitons, and Fractals|May 2, 2020
Solutions of a disease model with fractional white noiseM A Akinlar, Mustafa Inc, J F Gómez-Aguilar, et al.
Chaos, Solitons, and Fractals|September 13, 2021
Predicting the trend of indicators related to Covid-19 using the combined MLP-MC modelFatemeh Haghighat
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