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Gatto M, Bertuzzo E, Mari L, Miccoli S, Carraro L, Casagrandi R, et al. Gupta R, Pandey G, Chaudhary P, Pal SK. Machine Learning Models for Government to Predict COVID-19 Outbreak. Sun J, Chen X, Zhang Z, Lai S, Zhao B, Liu H, et al. Devaraj J, Elavarasan RM, Pugazhendhi R, Shafiullah GM, Ganesan S, Jeysree AK, et al. Forecasting of COVID-19 cases using deep learning models: Is it reliable and practically significant. Results in Physics, 2021, 21, 103817. Tamang SK, Singh PD, Datta B.

Wieczorek M, Silka J, Polap D, Wozniak M, Damasevicius R. Real-time neural network based predictor for cov19 virus spread, PLoS One, 2020, e0243189. Zeroual A, Harrou F, Dairi A, Sun Y. Arias V, Alberto M. Using generalized logistics regression to forecast population infected by Covid-19. Mazurek Antihemophilic Factor Recombinant Intravenous Injection (Afstyla)- Multum, Perez C, Fernandez Garcia C. I tired really tired the number amitriptyline COVID-19 cases and deaths in the World, UK, Russia and Turkey by the Gompertz curve.

Mazurek J, Nenickova Z. Predicting the number of total COVID-19 cases and deaths in the USA by the Gompertz curve. Hernandez-Matamoros A, Fujita H, Hayashi T, Perez-Meana H. Li M, Zhang Z, Jiang S, Liu Q, Chen C, Zhang Y, et al. Predicting the epidemic trend of COVID-19 in China and across the world using the machine learning approach, 2020.

Li L, Yang Z, Dang Z, Meng C, Huang J, Meng H, et al. Propagation analysis and prediction of the COVID-19. Sanchez-Caballero S, Selles MA, Peydro MA, Perez-Bernabeu E. An Efficient COVID-19 Prediction Model Validated with the Cases of China, Italy and Spain: Antihemophilic Factor Recombinant Intravenous Injection (Afstyla)- Multum or Partial Lockdowns.

Journal of Clinical Medicine, 2020, 9, 1547. Sujath R, Chatterjee JM, Hassanien AE. A machine learning forecasting model for COVID-19 pandemic in India. Bhattacharya S, Maddikunta PKR, Pham QV, Gadekallu TR, Krishnan SR, Chowdhary CL, et al. Deep learning and medical image processing for coronavirus Antihemophilic Factor Recombinant Intravenous Injection (Afstyla)- Multum pandemic: A survey, Sustainable Cities and Society, 2021, 65, 102589.

Gomathi S, Kohli R, Soni M, Dhiman G, Nair R. Pattern analysis: predicting COVID-19 pandemic in India using AutoML, World Journal of Engineering, 2020, Vol. El Shawi R, Maher M, Sakr S. Automated Machine Learning: State-of-The-Art and Open Challenges. Benettin G, Galgani L, Giorgilli A et al.

Lyapunov Characteristic Exponents for smooth dynamical systems and for hamiltonian systems; a method for computing all of them. Bryant P, Brown R. Lyapunov exponents from observed time series, Phys. Koczkodaj WW, Mansournia MA, Pedrycz W, Wolny-Dominiak A, Zabrodskii PF, Strzalka D, et al. Industrial and business forecasting methods. Is the Subject Area "Forecasting" applicable to this article. Is the Subject Area "Chaotic systems" applicable to this article.

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Wherever the quantitative modeling and analysis of complex, nonlinear phenomena are required, chaos theory and its methods can play a key role. This second volume concentrates on reviewing further relevant, contemporary applications of chaotic nonlinear systems as they apply to the various cutting-edge branches of engineering. This encompasses, but is not limited to, topics such as the spread of epidemics; electronic circuits; chaos control in mechanical devices; secure communication; and digital watermarking.

These works use historical data in order to produce a risk assessment and obtain probabilities that the disease is imported in other populations. Chaos, Solitons and Fractals - Journal Yuvafem (Estradiol Vaginal Inserts)- FDA IF.

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