Linear and stratified sampling-based deep learning models for improving the river streamflow forecasting to mitigate flooding disaster

• Main Authors: Afan, Haitham Abdulmohsin, Yafouz, Ayman, Birima, Ahmed H., Ahmed, Ali Najah, Kisi, Ozgur, Chaplot, Barkha, El-Shafie, Ahmed
• Format: Article
• Published: Springer 2022
• Subjects: GE Environmental Sciences
• Online Access: http://eprints.um.edu.my/43020/

Due to the need to reduce the flooding disaster, river streamflow prediction is required to be enhanced by the aid of deep learning algorithms. To achieve accurate model of streamflow prediction, it is important to provide suitable data sets to train the predictive models. Thus, this research has in...