Author:
Kamalov Firuz,Rajab Khairan,Cherukuri Aswani Kumar,Elnagar Ashraf,Safaraliev Murodbek
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference103 articles.
1. Improving the performance of deep learning models using statistical features: The case study of COVID–19 forecasting;Abbasimehr;Math. Methods Appl. Sci.,2021
2. The efficacy of deep learning based LSTM model in forecasting the outbreak of contagious diseases;Absar;Infectious Disease Modell.,2022
3. Adiga, A., Wang, L., Hurt, B., Peddireddy, A.S., Porebski, P., Venkatramanan, S.,...& Marathe, M. (2021). All models are useful: Bayesian ensembling for robust high resolution covid-19 forecasting. medRxiv.
4. The number of confirmed cases of covid-19 by using machine learning: Methods and challenges;Ahmad;Arch. Comput. Methods Eng.,2021
5. Forecasting the spread of the COVID-19 pandemic in Saudi Arabia using ARIMA prediction model under current public health interventions;Alzahrani;J. Infection Public Health,2020
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