Return to Nature: Renaturisation of Dried-Out Lakes in Poland by Mariusz Ptak, Salim Heddam, Senlin Zhu, Mariusz Sojka

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Reference Evapotranspiration Estimation Using ANN, LSSVM, and M5 Tree Models (Case Study: of Babolsar and Ramsar Regions, Iran) by Yashar Dadrasajirlou, Hamidreza Ghazvinian, Salim Heddam, Mariam Ganji

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Predicting biochemical oxygen demand in wastewater treatment plant using advance extreme learning machine optimized by Bat algorithm by Hayat Mekaoussi, Salim Heddam, Nouri Bouslimanni, Sungwon Kim, Mohammad Zounemat-Kermani

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A Century of Changes in the Surface Area of Lakes in West Poland by Mariusz Ptak, Katarzyna Szyga-Pluta, Salim Heddam, Senlin Zhu, Mariusz Sojka

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Assessing the performance of a suite of machine learning models for daily river water temperature prediction by Senlin Zhu, Emmanuel Karlo Nyarko, Marijana Hadzima-Nyarko, Salim Heddam, Shiqiang Wu

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Advanced long-term actual evapotranspiration estimation in humid climates for 1958–2021 based on machine learning models enhanced by the RReliefF algorithm by Ahmed Elbeltagi, Salim Heddam, Okan Mert Katipoğlu, Abdullah A. Alsumaiei, Mustafa Al-Mukhtar

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Comparison performance of artificial neural network based method in estimation of electric conductivity in wet and dry periods: Case study of Gamasiab river, Iran by Nasrin Abozari, Mohammadreza Hassanvand, Amir Hossein Salimi, Salim Heddam, Hossein Omidvar Mohammadi, Amir Noori

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Integration of Gaussian process regression and K means clustering for enhanced short term rainfall runoff modeling by Ozgur Kisi, Salim Heddam, Kulwinder Singh Parmar, Andrea Petroselli, Christoph Külls, Mohammad Zounemat-Kermani

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Pan evaporation estimation by relevance vector machine tuned with new metaheuristic algorithms using limited climatic data by Rana Muhammad Adnan, Reham R. Mostafa, Hong-Liang Dai, Salim Heddam, Alban Kuriqi, Ozgur Kisi

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Developing an efficient explainable artificial intelligence approach for accurate reverse osmosis desalination plant performance prediction: application of SHAP analysis by Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, Sungwon Kim, Kaywan Othman Ahmed, Salim Heddam

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Enhancing Pan evaporation predictions: Accuracy and uncertainty in hybrid machine learning models by Khabat Khosravi, Aitazaz A. Farooque, Amir Naghibi, Salim Heddam, Ahmad Sharafati, Javad Hatamiafkoueieh, Soroush Abolfathi

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Enhancing Streamflow Prediction Accuracy: A Comprehensive Analysis of Hybrid Neural Network Models with Runge–Kutta with Aquila Optimizer by Rana Muhammad Adnan, Wang Mo, Ahmed A. Ewees, Salim Heddam, Ozgur Kisi, Mohammad Zounemat-Kermani

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An efficient computational investigation on accurate daily soil temperature prediction using boosting ensemble methods explanation based on SHAP importance analysis by Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, Kaywan Othman Ahmed, Salim Heddam, Sungwon Kim

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Magnetic treatment of irrigation water and its effect on French bean (Phaseolus vulgaris) by Gottam Kishore, Ranjay Kumar Singh, C. K. Saxena, Nadhir Al-Ansari, Dinesh Kumar Vishwakarma, Salim Heddam

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Harnessing Deep Learning and Snow Cover Data for Enhanced Runoff Prediction in Snow-Dominated Watersheds by Rana Muhammad Adnan, Wang Mo, Ozgur Kisi, Salim Heddam, Ahmed Mohammed Sami Al-Janabi, Mohammad Zounemat-Kermani

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An interpretable XGBoost-SHAP machine learning model for reliable prediction of mechanical properties in waste foundry sand-based eco-friendly concrete by Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, Aliakbar Gholampour, Kaywan Othman Ahmed, Salim Heddam, Sungwon Kim

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The development of an efficient artificial intelligence-based classification approach for colorectal cancer response to radiochemotherapy: deep learning vs. machine learning by Fatemeh Bahrambanan, Meysam Alizamir, Kayhan Moradveisi, Salim Heddam, Sungwon Kim, Seunghyun Kim, Meysam Soleimani, Saeid Afshar, Amir Taherkhani

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Quantification of river total phosphorus using integrative artificial intelligence models by Sungwon Kim, Youngmin Seo, Anurag Malik, Seunghyun Kim, Salim Heddam, Zaher Mundher Yaseen, Ozgur Kisi, Vijay P. Singh

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Pan Evaporation Estimation in Uttarakhand and Uttar Pradesh States, India: Validity of an Integrative Data Intelligence Model by Anurag Malik, Priya Rai, Salim Heddam, Ozgur Kisi, Ahmad Sharafati, Sinan Q. Salih, Nadhir Al-Ansari, Zaher Mundher Yaseen

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Enhanced forecasting of multi-step ahead daily soil temperature using advanced hybrid vote algorithm-based tree models by Javad Hatamiafkoueieh, Salim Heddam, Saeed Khoshtinat, Solmaz Khazaei, Abdol-Baset Osmani, Ebrahim Nohani, Mohammad Kiomarzi, Ehsan Sharafi, John Tiefenbacher

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