Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables

21 July 2020

Papers citing "Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables"

8 / 8 papers shown

Title
A Tent Lévy Flying Sparrow Search Algorithm for Feature Selection: A COVID-19 Case Study Qin Yang Yuelin Gao Y. Song 11 0 0 20 Sep 2022
Forecasting of COVID-19 Cases, Using an Evolutionary Neural Architecture Search Approach Mahdi Rahbar S. Yazdani 17 0 0 15 Sep 2021
Meteorological and human mobility data on predicting COVID-19 cases by a novel hybrid decomposition method with anomaly detection analysis: a case study in the capitals of Brazil Tiago Tiburcio da Silva Rodrigo Francisquini M. C. Nascimento 11 21 0 10 May 2021
COVID-19 Modeling: A Review LongBing Cao Qing Liu 45 44 0 16 Apr 2021
Deep learning via LSTM models for COVID-19 infection forecasting in India Rohitash Chandra Ayush Jain D. Chauhan 13 124 0 28 Jan 2021
Machine learning applications for COVID-19: A state-of-the-art review Firuz Kamalov C. A. Kumar Hana Sulieman F. Thabtah Akbar Hossain OOD 19 6 0 19 Jan 2021
Physics-informed machine learning for the COVID-19 pandemic: Adherence to social distancing and short-term predictions for eight countries G. D. Barmparis G. P. Tsironis OOD 6 5 0 18 Aug 2020
Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil M. Ribeiro Ramon Gomes da Silva V. Mariani L. Coelho 57 421 0 21 Jul 2020