Global Solar Radiation Estimation and Climatic Variability Analysis Using Extreme Learning Machine Based Predictive Model. - Tao Hai; Ahmad Sharafati; Achite Mohammed; Sinan Q. Salih; Ravinesh C. Deo; Nadhir Al-Ansari; Zaher Mundher Yaseen (IEEE Access, 2020)

Estimation of Daily Suspended Sediment Load Using a Novel Hybrid Support Vector Regression Model Incorporated with Observer-Teacher-Learner-Based Optimization Method. - Siyamak Doroudi; Ahmad Sharafati; Seyed Hossein Mohajeri (Complex., 2021)

Application of Artificial Intelligence Models for Evapotranspiration Prediction along the Southern Coast of Turkey. - Mohammed Majeed Hameed; Mohamed Khalid Alomar; Siti Fatin Mohd Razali; Mohammed Abd Kareem Khalaf; Wajdi Jaber Baniya; Ahmad Sharafati; Mohammed Abdulhakim AlSaadi (Complex., 2021)

Prediction of channel sinuosity in perennial rivers using Bayesian Mutual Information theory and support vector regression coupled with meta-heuristic algorithms. - Masoud Haghbin; Ahmad Sharafati; Davide Motta (Earth Sci. Informatics, 2021)

A novel boosting ensemble committee-based model for local scour depth around non-uniformly spaced pile groups. - Iman Ahmadianfar; Mehdi Jamei; Masoud Karbasi; Ahmad Sharafati; Bahram Gharabaghi (Eng. Comput., 2022)

Correction: An intelligent approach for estimating aeration efficiency in stepped cascades: optimized support vector regression models and mutual information theory. - Seyed Babak Haji Seyed Asadollah; Ahmad Sharafati; Masoud Haghbin; Davide Motta; Mohamadreza Hosseinian Moghadam Noghani (Soft Comput., 2022)

An intelligent approach for estimating aeration efficiency in stepped cascades: optimized support vector regression models and mutual information theory. - Seyed Babak Haji Seyed Asadollah; Ahmad Sharafati; Masoud Haghbin; Davide Motta; Mohamadreza Hosseinian Moghadam Noghani (Soft Comput., 2022)

A novel intelligent approach for predicting meteorological drought based on satellite-based precipitation product: Application of an EMD-DFA-DBN hybrid model. - Ali Ghozat; Ahmad Sharafati; Seyed Babak Haji Seyed Asadollah; Davide Motta (Comput. Electron. Agric., 2023)

MOOTLBO: a new multi-objective observer-teacher-learner-based optimization. - Siyamak Doroudi; Ahmad Sharafati; Seyed Hossein Mohajeri (Soft Comput., 2023)

Investigating hybrid deep learning models and meta-heuristic algorithms in predicting evaporation from a reservoir: a case study of Dez dam. - Reza Farzad; Farshad Ahmadi; Ahmad Sharafati; Seyed Abbas Hosseini (Earth Sci. Informatics, 2023)

Lake total suspended matter retrieval by wind speed: A machine learning model trained by time-series satellite imagery. - Ashkan Noori; Seyed Hossein Mohajeri; Mojtaba Mehraein; Ahmad Sharafati (Ecol. Informatics, 2024)

Estimation of soil moisture from remote sensing products using an ensemble machine learning model: a case study of Lake Urmia Basin, Iran. - Seyed Babak Haji Seyed Asadollah; Ahmad Sharafati; Mohammad Saeedi; Shamsuddin Shahid (Earth Sci. Informatics, 2024)

Enhancing Pan evaporation predictions: Accuracy and uncertainty in hybrid machine learning models. - Khabat Khosravi; Aitazaz A. Farooque; Amir Naghibi; Salim Heddam; Ahmad Sharafati; Javad Hatamiafkoueieh; Soroush Abolfathi (Ecol. Informatics, 2025)

A comparative study for predicting lake evaporation at chah nimeh reservoirs in Iran: employing the ADiPLS-LSTM model with an attention mechanism. - Yusef Kheyruri; Ahmad Sharafati; Seyed Hossein Mohajeri; Asaad Shakir Hameed; Mojtaba Mehraein (Earth Sci. Informatics, 2025)

Reservoir evaporation prediction with integrated development of deep neural network models and meta-heuristic algorithms (Case study: Dez Dam). - Reza Farzad; Ahmad Sharafati; Farshad Ahmadi; Seyed Abbas Hosseini (Earth Sci. Informatics, 2025)

A hybrid deep learning approach to predict meteorological drought based on several remote sensing products. - Arezoo Ariyaei; Ahmad Sharafati; Asaad Shakir Hameed (Earth Sci. Informatics, 2025)