Using discrete wavelet transform for optimizing COVID-19 new cases and deaths prediction worldwide with deep neural networks
Description
This work aims to compare deep learning models designed to predict daily number of cases and deaths caused by COVID-19 for 183 countries, using a daily basis time series, in addition to a feature augmentation strategy based on Discrete Wavelet
