Application of Long Short-Term Memory (LSTM) Neural Network for COVID-19 cases Forecasting in Algeria

Electricity Consumption Forecasting in Algeria using ARIMA and Long Short-Term Memory Neural Network

International audience Forecasting electricity consumption is necessary for electric

Prediction of Oil Palm Production Using Recurrent Neural Network Long Short-Term Memory (RNN-LSTM)

On the Application of Long Short-Term Memory Neural Network for Daily Forecasting of PM2.5 in Dakar, Senegal (West Africa)

This study aims to optimize daily forecasts of the PM2.5 concentrations in Dakar, Senegal using a lo

Pavement Roughness Prediction Using Long Short-Term Memory (LSTM) Neural Networks

Accurate prediction of pavement roughness — quantified by the International Roughness Index

A Convolutional neural network-long short-term memory (CNN-LSTM) model approach towards improving HBV prediction

major challenge in clinical diagnostics, particularly in differentiating acute from chronic cases us

A Comparison of the Statistical Downscaling and Long-Short-Term-Memory Artificial Neural Network Models for Long-Term Temperature and Precipitations Forecasting

General circulation models (GCMs) run at regional resolution or at a continental scale. Therefore, t