Drought Forecasting: A Review and Assessment of the Hybrid Techniques and Data Pre-Processing von Alawsi, Mustafa A., Zubaidi, Salah L., Al-Bdairi, Nabeel Saleem Saad, Al-Ansari, Nadhir, Hashim, Khalid

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Forecasting urban water demand using different hybrid-based metaheuristic algorithms’ inspire for extracting artificial neural network hyperparameters von Zubaidi, Salah L., Al-Bugharbee, Hussein, Alattabi, Ali W., Ridha, Hussein Mohammed, Hashim, Khalid, Al-Ansari, Nadhir, Yaseen, Zaher Mundher

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Parameter Optimisation-Based Hybrid Reference Evapotranspiration Prediction Models: A Systematic Review of Current Implementations and Future Research Directions von Khairan, Hadeel E., Zubaidi, Salah L., Muhsen, Yousif Raad, Al-Ansari, Nadhir

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Evaluation water scarcity based on GIS estimation and climate-change effects: A case study of Thi-Qar Governorate, Iraq von Ethaib, Saleem, Zubaidi, Salah L., Al-Ansari, Nadhir

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Hybrid Technique to Improve the River Water Level Forecasting Using Artificial Neural Network-Based Marine Predators Algorithm von Mohammed, Sarah J., Zubaidi, Salah L., Al-Ansari, Nadhir, Ridha, Hussein Mohammed, Al-Bdairi, Nabeel Saleem Saad

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Application of hybrid machine learning models and data pre-processing to predict water level of watersheds: Recent trends and future perspective von Mohammed, Sarah J., Zubaidi, Salah L., Ortega-Martorell, Sandra, Al-Ansari, Nadhir, Ethaib, Saleem, Hashim, Khalid

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Tuning ANN Hyperparameters by CPSOCGSA, MPA, and SMA for Short-Term SPI Drought Forecasting von Alawsi, Mustafa A., Zubaidi, Salah L., Al-Ansari, Nadhir, Al-Bugharbee, Hussein, Ridha, Hussein Mohammed

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Applicability of ANN Model and CPSOCGSA Algorithm for Multi-Time Step Ahead River Streamflow Forecasting von Abdul Kareem, Baydaa, Zubaidi, Salah L., Ridha, Hussein Mohammed, Al-Ansari, Nadhir, Al-Bdairi, Nabeel Saleem Saad

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Application of Metaheuristic Algorithms and ANN Model for Univariate Water Level Forecasting von Mohammed, Sarah J., Zubaidi, Salah L., Al-Ansari, Nadhir, Mohammed Ridha, Hussein, Dulaimi, Anmar, Al-Khafaji, Ruqayah

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A CPSOCGSA-tuned neural processor for forecasting river water salinity: Euphrates river, Iraq von Khudhair, Zahraa S., Zubaidi, Salah L., Al-Bugharbee, Hussein, Al-Ansari, Nadhir, Ridha, Hussein Mohammed

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Developing a hybrid model for accurate short-term water demand prediction under extreme weather conditions: a case study in Melbourne, Australia von Zubaidi, Salah L., Kumar, Pavitra, Al-Bugharbee, Hussein, Ahmed, Ali Najah, Ridha, Hussein Mohammed, Mo, Kim Hung, El-Shafie, Ahmed

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Function of Nanomaterials in Removing Heavy Metals for Water and Wastewater Remediation: A Review von Ethaib, Saleem, Al-Qutaifia, Sarah, Al-Ansari, Nadhir, Zubaidi, Salah L.

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Phosphate removal from water using bottom ash: adsorption performance, coexisting anions and modelling studies von Hashim, Khalid S., Ewadh, Hind Mufeed, Muhsin, Adnan A., Zubaidi, Salah L., Kot, Patryk, Muradov, Magomed, Aljefery, Mohammed, Al-Khaddar, Rafid

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A Method for Predicting Long-Term Municipal Water Demands Under Climate Change von Zubaidi, Salah L., Ortega-Martorell, Sandra, Kot, Patryk, Alkhaddar, Rafid M., Abdellatif, Mawada, Gharghan, Sadik K., Ahmed, Maytham S., Hashim, Khalid

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A Novel Methodology for Prediction Urban Water Demand by Wavelet Denoising and Adaptive Neuro-Fuzzy Inference System Approach von Zubaidi, Salah, Al-Bugharbee, Hussein, Ortega-Martorell, Sandra, Gharghan, Sadik, Olier, Ivan, Hashim, Khalid, Al-Bdairi, Nabeel, Kot, Patryk

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Effect of initial pH value on the removal of reactive black dye from water by electrocoagulation (EC) method von Hashim, Khalid S, Hussein, Ameer H, Zubaidi, Salah L, Kot, Patryk, Kraidi, Layth, Alkhaddar, Rafid, Shaw, Andy, Alwash, Reham

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Static and Seismic Performance of Buried Pipelines: A review von Yousife, Dhuha F., Aldefae, Asad H., Zubaidi, Salah L., Humaish, Wissam H., Sinichenko, Evgeny K.

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Short-Term Urban Water Demand Prediction Considering Weather Factors von Zubaidi, Salah L., Gharghan, Sadik K., Dooley, Jayne, Alkhaddar, Rafid M., Abdellatif, Mawada

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Hybridised Artificial Neural Network Model with Slime Mould Algorithm: A Novel Methodology for Prediction of Urban Stochastic Water Demand von Zubaidi, Salah L., Abdulkareem, Iqbal H., Hashim, Khalid S., Al-Bugharbee, Hussein, Ridha, Hussein Mohammed, Gharghan, Sadik Kamel, Al-Qaim, Fuod F., Muradov, Magomed, Kot, Patryk, Al-Khaddar, Rafid

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Urban Water Demand Prediction for a City That Suffers from Climate Change and Population Growth: Gauteng Province Case Study von Zubaidi, Salah L., Ortega-Martorell, Sandra, Al-Bugharbee, Hussein, Olier, Ivan, Hashim, Khalid S., Gharghan, Sadik Kamel, Kot, Patryk, Al-Khaddar, Rafid

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