M
Mohammad Ehteram
Researcher at Semnan University
Publications - 90
Citations - 2298
Mohammad Ehteram is an academic researcher from Semnan University. The author has contributed to research in topics: Particle swarm optimization & Computer science. The author has an hindex of 20, co-authored 66 publications receiving 987 citations.
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Journal ArticleDOI
Machine learning methods for better water quality prediction
Ali Najah Ahmed,Faridah Othman,Haitham Abdulmohsin Afan,Rusul Khaleel Ibrahim,Chow Ming Fai,Shabbir Hossain,Mohammad Ehteram,Ahmed El-Shafie +7 more
TL;DR: A Neuro-Fuzzy Inference System (WDT-ANFIS) based augmented wavelet de-noising technique has been recommended that depends on historical data of the water quality parameter and exhibited a significant improvement in predicting accuracy for all theWater quality parameters and outperformed all the recommended models.
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Modeling and Uncertainty Analysis of Groundwater Level Using Six Evolutionary Optimization Algorithms Hybridized with ANFIS, SVM, and ANN
TL;DR: The results showed that the ANFIS-GOA was superior to the other hybrid models for predicting GWL in the first piezometer and uncertainty analysis of predictions and spatial variation analysis confirmed the superiority of developed hybridization schemes in GWL modelling.
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Reservoir operation based on evolutionary algorithms and multi-criteria decision-making under climate change and uncertainty
Mohammad Ehteram,Sayed-Farhad Mousavi,Hojat Karami,Saeed Farzin,Vijay P. Singh,Kwok Wing Chau,Ahmed El-Shafie +6 more
TL;DR: In this article, the authors investigated reservoir operation under climate change for a base period (1981-2000) and future period (2011-2030) and different climate change models, based on A2 scenario, were used and the HAD-CM3 model was found to be the best model.
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Water Quality Prediction Model Based Support Vector Machine Model for Ungauged River Catchment under Dual Scenarios
Abobakr Saeed Abobakr Yahya,Ali Najah Ahmed,Faridah Othman,Rusul Khaleel Ibrahim,Haitham Abdulmohsin Afan,Amr H. El-Shafie,Chow Ming Fai,Shabbir Hossain,Mohammad Ehteram,Ahmed El-Shafie +9 more
TL;DR: In this paper, a support vector machine (SVM) was used to predict the water quality of Langat River Basin through the analysis of the data of six parameters of dual reservoirs that are located in the catchment.
Journal ArticleDOI
Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm
Fatemeh Barzegari Banadkooki,Mohammad Ehteram,Ali Najah Ahmed,Fang Yenn Teo,Mahboube Ebrahimi,Chow Ming Fai,Yuk Feng Huang,Ahmed El-Shafie,Ahmed El-Shafie +8 more
TL;DR: This article proposes the use of hybrid artificial neural network (ANN) models, for the prediction of SSL, based on previous SSL values, and indicates that the ANN-ALO is applicable for a variety of water resource management operations.