A novel approach based on combining deep learning models with statistical methods for COVID-19 time series forecasting von Abbasimehr, Hossein, Paki, Reza, Bahrini, Aram

Volltext

Prediction of COVID-19 confirmed cases combining deep learning methods and Bayesian optimization von Abbasimehr, Hossein, Paki, Reza

Volltext

Improving time series forecasting using LSTM and attention models von Abbasimehr, Hossein, Paki, Reza

Volltext

A novel featurization methodology using JaGen algorithm for time series forecasting with deep learning techniques von Abbasimehr, Hossein, Noshad, Ali, Paki, Reza

Volltext

A novel XGBoost-based featurization approach to forecast renewable energy consumption with deep learning models von Abbasimehr, Hossein, Paki, Reza, Bahrini, Aram

Volltext

Improving the performance of deep learning models using statistical features: The case study of COVID-19 forecasting von Abbasimehr, Hossein, Paki, Reza, Bahrini, Aram

Volltext

Classification of G protein-coupled receptors using attention mechanism von Paki, Reza, Nourani, Esmaeil, Farajzadeh, Davoud

Volltext

Evaluation of the in vivo and in vitro safety profile of Cuscuta epithymum ethanolic extract von Abedini, Mohammad Reza, Paki, Samaneh, Mohammadifard, Mahtab, Foadoddini, Mohsen, Vazifeshenas-Darmiyan, Khadijeh, Hosseini, Mehran

Volltext