• Predicting COVID-19 cases using bidirectional LSTM on multivariate time series 

      Said, Ahmed Ben; Erradi, Abdelkarim; Aly, Hussein Ahmed; Mohamed, Abdelmonem ( Springer Science and Business Media Deutschland GmbH , 2021 , Article)
      To assist policymakers in making adequate decisions to stop the spread of the COVID-19 pandemic, accurate forecasting of the disease propagation is of paramount importance. This paper presents a deep learning approach to ...