Presenting the AI models in predicting the settlement of earth dams using the results of spatiotemporal clustering and k-means algorithm von Beiranvand, Behrang, Rajaee, Taher, Komasi, Mehdi

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Experimental investigation of turbulent flow in a rectangular bonneted slide gate and eliminating random fluctuating loads von Mirabi, Mohammad Hossein, Jabbari, Ehsan, Rajaee, Taher, Seiiedi Niaki, Keivan

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Comparison of K-means and FCM algorithms to optimize spatiotemporal pore pressure prediction of earth dams von Beiranvand, Behrang, Rajaee, Taher, Komasi, Mehdi

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Environmental Risk Management of Eyvashan Dam Using Traditional-FMEA and FIS-FMEA Methods von Behrang Beiranvand, Taher Rajaee

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Correction to: Tracing and assessment of simultaneous dust storms in the cities of Ahvaz and Kermanshah in western Iran based on the new approach von Rajaee, Taher, Rohani, Nima, Jabbari, Ehsan, Mojaradi, Barat

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Artificial intelligence-based single and hybrid models for prediction of water quality in rivers: A review von Rajaee, Taher, Khani, Salar, Ravansalar, Masoud

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A multi-objective optimization method based on NSGA-III for water quality sensor placement with the aim of reducing potential contamination of important nodes von Jafari, Hamideh, Nazif, Sara, Rajaee, Taher

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Wavelet and ANN combination model for prediction of daily suspended sediment load in rivers von Rajaee, Taher

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Corrigendum: Journal of Water and Health 18 (5), 704-720: An investigation of the possible scenarios for the optimal locating of quality sensors in the water distribution networks with uncertain contamination, Hamideh Jafari, Taher Rajaee and Sara Nazif, doi: 10.2166/wh.2020.099 von Nazif, Sara

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Two decades on the artificial intelligence models advancement for modeling river sediment concentration: State-of-the-art von Rajaee, Taher, Jafari, Hamideh

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Wavelet-linear genetic programming: A new approach for modeling monthly streamflow von Ravansalar, Masoud, Rajaee, Taher, Kisi, Ozgur

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Hybrid SWMM and particle swarm optimization model for urban runoff water quality control by using green infrastructures (LID-BMPs) von Taghizadeh, Soudabeh, Khani, Salar, Rajaee, Taher

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Daily suspended sediment concentration simulation using ANN and neuro-fuzzy models von Rajaee, Taher, Mirbagheri, Seyed Ahmad, Zounemat-Kermani, Mohammad, Nourani, Vahid

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Forecasting of chlorophyll-a concentrations in South San Francisco Bay using five different models von Rajaee, Taher, Boroumand, Amir

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Improved Water Quality Prediction with Hybrid Wavelet-Genetic Programming Model and Shannon Entropy von Jafari, Hamideh, Rajaee, Taher, Kisi, Ozgur

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A wavelet–linear genetic programming model for sodium (Na+) concentration forecasting in rivers von Ravansalar, Masoud, Rajaee, Taher, Zounemat-Kermani, Mohammad

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Evaluation of wavelet performance via an ANN-based electrical conductivity prediction model von Ravansalar, Masoud, Rajaee, Taher

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Application of some nanomaterials on pollutant removal in the porous asphalt von Sobhkhiz Foumani, Ramtin, Rajaee, Taher, Fatehifar, Esmaeil

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Utilization of WGEP and WDT Models by Wavelet Denoising to Predict Water Quality Parameters in Rivers von Rajaee, Taher, Jafari, Hamideh

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Modeling of Dissolved Oxygen Concentration and Its Hysteresis Behavior in Rivers Using Wavelet Transform‐Based Hybrid Models von Khani, Salar, Rajaee, Taher

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