Author

S. Heddam

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Open access Sep 2026

River water temperature prediction using REMD, RLMD, and SVMD coupled with deep learning models

River water temperature (T w ) is a critical parameter for the freshwater ecosystems and the aquatic life. Daily water temperature time series can be used for many applications and included as input variable for various modelling tools. In this study, four deep learning (DL) models (i.e., LSTM, BiLSTM, GRU, and B...

N. Daif, Dong Sop Rhee, O. Kisi et al. · Scientific Reports · 0 citations

Open access Aug 2026

Physics-informed hybrid GR4J–XGBoost model for streamflow prediction: integrating conceptual states, SHAP interpretability, and uncertainty analysis

Accurate streamflow prediction remains challenging due to the nonlinear and dynamic nature of rainfall–runoff processes. Conceptual hydrological models provide physically interpretable representations, yet their predictive performance is often limited, while data-driven models may suffer from overfitting and a lack of...

Ozgur Kisi, S. Heddam, K. Parmar et al. · Scientific Reports · 0 citations