Sep 2026
Daily River Suspended Sediment Load Forecasting Using Artificial Intelligence Models
Issam Rehamnia, Sungwon Kim, Sabih Hashim Alzuhairy et al.
· Water resources management · 0 citations
AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
2 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Four deep learning models were used for modelling daily water temperature time series at four rivers stations in Poland, and the smallest RMSE and MAE are obtained for the models using the signal decomposition, whereas the largest errors metrics are achieved by the single DL models.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.