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2025	Machine learning approaches for groundwater temperature prediction in Austria: Impacts of hydro-climatic variability, feature engineering, and model complexity Journal of Hydrology: Regional Studies Ameneh Sobhani, Johannes Laimighofer, Ronald Ortner, Herbert Hofstätter, Cornelia Steiner, Gregor Laaha
2025	Interconnections, trend analysis and forecasting of water-air temperature with water level dynamics in Blue Moon Lake Valley: A statistical and machine learning approach Journal of Environmental Management Shoukat Ali Shah, Songtao Ai, Wolfgang Rack
2025	Machine Learning Models for Prediction of Shade-Affected Stream Temperatures Journal of Hydrologic Engineering Efrain Noa-Yarasca, Meghna Babbar-Sebens, Chris E. Jordan
2025	Machine learning in stream and river water temperature modeling: a review and metrics for evaluation Hydrology and Earth System Sciences Claudia Rebecca Corona, Terri Sue Hogue
2024	Prediction of daily average seawater temperature using data-driven and deep learning algorithms Neural Computing and Applications Arif Ozbek
2024	Machine learning-based modeling of surface water temperature dynamics in arctic lakes Environmental Science and Pollution Research Hyung Il Kim, Dongkyun Kim, Mohammad Milad Salamattalab, Mehran Mahdian, Sayed M. Bateni, Roohollah Noori
2024	Integration of deep learning and improved multi-objective algorithm to optimize reservoir operation for balancing human and downstream ecological needs Water Research Rujian Qiu, Dong Wang, Vijay P. Singh, Yuankun Wang, Jichun Wu
2023	Assessment of Impacts of Climate Change on Indian Riverine Thermal Regimes Using Hybrid Deep Learning Methods Water Resources Research S. Rehana, M. Rajesh
2023	Water Temperature Prediction Using Improved Deep Learning Methods through Reptile Search Algorithm and Weighted Mean of Vectors Optimizer Journal of Marine Science and Engineering Rana Muhammad Adnan Ikram, Reham R. Mostafa, Zhihuan Chen, Kulwinder Singh Parmar, Ozgur Kisi, Mohammad Zounemat-Kermani
2023	Predicting stream water temperature with artificial neural networks based on open‐access data Hydrological Processes Konstantina Drainas, Lisa Kaule, Stefanie Mohr, Bhumika Uniyal, Romy Wild, Juergen Geist
2023	Modeling river water temperature with limiting forcing data: Air2stream v1.0.0, machine learning and multiple regression Geoscientific Model Development Manuel C. Almeida, Pedro S. Coelho
2022	A catchment-scale model of river water quality by Machine Learning Science of The Total Environment Maria Grazia Zanoni, Bruno Majone, Alberto Bellin
2022	Multiple Statistical Model Ensemble Predictions of Residual Chlorine in Drinking Water: Applications of Various Deep Learning and Machine Learning Algorithms Journal of Environmental and Public Health Charles Onyutha
2022	Least square support vector machine-based variational mode decomposition: a new hybrid model for daily river water temperature modeling Environmental Science and Pollution Research Salim Heddam, Mariusz Ptak, Mariusz Sojka, Sungwon Kim, Anurag Malik, Ozgur Kisi, Mohammad Zounemat-Kermani
2022	Quantifying the impacts of climate variation, damming, and flow regulation on river thermal dynamics: a case study of the Włocławek Reservoir in the Vistula River, Poland Environmental Sciences Europe Rui Yang, Shiqiang Wu, Xiufeng Wu, Mariusz Ptak, Xudong Li, Mariusz Sojka, Renata Graf, Jiangyu Dai, Senlin Zhu
2022	Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering Salim Heddam, Sungwon Kim, Ali Danandeh Mehr, Mohammad Zounemat-Kermani, Ahmed Elbeltagi, Anurag Malik, Ozgur Kisi
2022	Prediction of daily sea water temperature in Turkish seas using machine learning approaches Arabian Journal of Geosciences Arif Ozbek
2022	Application of the RAPS Method of Time Series Analysis to the Assessment of Grout Curtain Performance in Karst—A Case Study of the Hydro Energy Power Plant (HEPP) Mostar Dam in Bosnia and Herzegovina Hydrology Bojan Đurin, Mirna Raič, Petra Sušilović
2021	Daily River Water Temperature Prediction: A Comparison between Neural Network and Stochastic Techniques Atmosphere Renata Graf, Pouya Aghelpour
2021	River ice and water temperature prediction on the Danube Hungarian Geographical Bulletin Zoltán Árpád Liptay, Szabolcs Czigány, Ervin Pirkhoffer
2021	2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) Stefanie Mohr, Konstantina Drainas, Jurgen Geist
2021	Simulating reference crop evapotranspiration with different climate data inputs using Gaussian exponential model Environmental Science and Pollution Research Yue Jia, Fengchun Wang, Pengcheng Li, Shuyi Huo, Tao Yang
2021	Prediction of river water temperature using machine learning algorithms: a tropical river system of India Journal of Hydroinformatics M. Rajesh, S. Rehana
2021	Machine-learning methods for stream water temperature prediction Hydrology and Earth System Sciences Moritz Feigl, Katharina Lebiedzinski, Mathew Herrnegger, Karsten Schulz
2021	Predicting the Thermal Regime Change of a Regulated Snowmelt River Using a Generalised Additive Model and Analogue Reference Streams Environmental Processes Daniel Coleman, Robyn Bevitt, Ivars Reinfelds
2021	Vorhersage der Fließgewässertemperaturen in österreichischen Einzugsgebieten mittels Machine Learning-Verfahren Österreichische Wasser- und Abfallwirtschaft Moritz Feigl, Katharina Lebiedzinski, Mathew Herrnegger, Karsten Schulz
2021	River water temperature forecasting using a deep learning method Journal of Hydrology Rujian Qiu, Yuankun Wang, Bruce Rhoads, Dong Wang, Wenjie Qiu, Yuwei Tao, Jichun Wu
2021	Data-limited models to predict river temperatures for aquatic species at risk1 Canadian Journal of Fisheries and Aquatic Sciences Jordan Rosencranz, Kim Cuddington, Madison Brook, Marten A. Koops, D. Andrew Drake
2021	Basics of Computational Geophysics Senlin Zhu, Marijana Hadzima-Nyarko, Ognjen Bonacci
2021	Ensemble machine learning paradigms in hydrology: A review Journal of Hydrology Mohammad Zounemat-Kermani, Okke Batelaan, Marzieh Fadaee, Reinhard Hinkelmann
2020	Development of an adaptive neuro-fuzzy inference system (ANFIS) model to predict sea surface temperature (SST) Oceanological and Hydrobiological Studies Semih Kale
2020	Exploring and quantifying the impact of climate change on surface water temperature of a high mountain lake in Central Europe Environmental Monitoring and Assessment Senlin Zhu, Mariusz Ptak, Adam Choiński, Songbai Wu
2020	River/stream water temperature forecasting using artificial intelligence models: a systematic review Acta Geophysica Senlin Zhu, Adam P. Piotrowski
2020	Water temperature forecasting based on modified artificial neural network methods: Two cases of the Yangtze River Science of The Total Environment Rujian Qiu, Yuankun Wang, Dong Wang, Wenjie Qiu, Jichun Wu, Yuwei Tao
2020	Impacts of Hydrological Processes on Stream Temperature in a Cold Region Watershed Based on the SWAT Equilibrium Temperature Model Water Xinzhong Du, Greg Goss, Monireh Faramarzi
2020	Modelling of daily lake surface water temperature from air temperature: Extremely randomized trees (ERT) versus Air2Water, MARS, M5Tree, RF and MLPNN Journal of Hydrology Salim Heddam, Mariusz Ptak, Senlin Zhu
2020	Impact of deep learning-based dropout on shallow neural networks applied to stream temperature modelling Earth-Science Reviews Adam P. Piotrowski, Jaroslaw J. Napiorkowski, Agnieszka E. Piotrowska
2020	RETRACTED: Machine learning approaches for estimation of sediment settling velocity Journal of Hydrology Senlin Zhu, Bahrudin Hrnjica, Jiangyu Dai, Bellie Sivakumar
2019	The Handbook of Environmental Chemistry Salim Heddam, Ozgur Kisi, Abderrazek Sebbar, Larbi Houichi, Lakhdar Djemili
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