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Heliyon|November 13, 2023
Predicting biochemical oxygen demand in wastewater treatment plant using advance extreme learning machine optimized by Bat algorithmHayat Mekaoussi, Salim Heddam, Nouri Bouslimanni, et al.
Environmental Science and Pollution Research International|November 5, 2021
Prediction of effluent arsenic concentration of wastewater treatment plants using machine learning and kriging-based modelsMohammad Zounemat-Kermani, Meysam Alizamir, Behrooz Keshtegar, et al.
Scientific Reports|August 4, 2026
Physics-informed hybrid GR4J-XGBoost model for streamflow prediction: integrating conceptual states, SHAP interpretability, and uncertainty analysisOzgur Kisi, Salim Heddam, Kulwinder Singh Parmar, et al.
Journal of Environmental Management|June 9, 2020
Assessing the biochemical oxygen demand using neural networks and ensemble tree approaches in South KoreaSungwon Kim, Meysam Alizamir, Mohammad Zounemat-Kermani, et al.
Scientific Reports|March 3, 2025
Integration of Gaussian process regression and K means clustering for enhanced short term rainfall runoff modelingOzgur Kisi, Salim Heddam, Kulwinder Singh Parmar, et al.
Environmental Science and Pollution Research International|May 23, 2022
Least square support vector machine-based variational mode decomposition: a new hybrid model for daily river water temperature modelingSalim Heddam, Mariusz Ptak, Mariusz Sojka, et al.
Scientific Reports|May 2, 2026
Metaheuristic-enhanced deep learning for monthly pan evaporation prediction under limited climatic dataOzgur Kisi, Rana Muhammad Adnan, Mohammad Zounemat-Kermani, et al.
Environmental Science and Pollution Research International|August 2, 2023
Modelling biochemical oxygen demand using improved neuro-fuzzy approach by marine predators algorithmRana Muhammad Adnan, Hong-Liang Dai, Ozgur Kisi, et al.
Plos One|May 27, 2021
Development of artificial intelligence models for well groundwater quality simulation: Different modeling scenariosNaser Shiri, Jalal Shiri, Zaher Mundher Yaseen, et al.
Scientific Reports|February 13, 2026
Accurate and interpretable prediction of chemical oxygen demand using explainable boosting algorithms with SHAP analysisKhaled Merabet, Sungwon Kim, Salim Heddam, et al.
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