Asghar Asghari Moghaddam

Combining the advantages of neural networks using the concept of committee machine in the groundwater salinity prediction

Rahim Barzegar, Asghar Asghari Moghaddam, R. Barzegar, 2016, Modeling Earth Systems and Environment.

Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models.

Rahim Barzegar, Elham Fijani, Evangelos Tziritis, 2017, The Science of the total environment.

Comparison of machine learning models for predicting fluoride contamination in groundwater

Jan Adamowski, Rahim Barzegar, Elham Fijani, 2017, Stochastic Environmental Research and Risk Assessment.

Assessment of heavy metals concentrations with emphasis on arsenic in the Tabriz plain aquifers, Iran

Rahim Barzegar, Asghar Asghari Moghaddam, R. Barzegar, 2015, Environmental Earth Sciences.

Hydrogeochemical features of groundwater resources in Tabriz plain, northwest of Iran

Rahim Barzegar, Evangelos Tziritis, Asghar Asghari Moghaddam, 2017, Applied Water Science.

Delimitation of groundwater zones under contamination risk using a bagged ensemble of optimized DRASTIC frameworks

Jan Adamowski, Rahim Barzegar, Amir Hossein Nazemi, 2019, Environmental Science and Pollution Research.

Multi-step water quality forecasting using a boosting ensemble multi-wavelet extreme learning machine model

Jan Adamowski, Rahim Barzegar, Bogdan Ozga-Zielinski, 2018, Stochastic Environmental Research and Risk Assessment.

Distribution of fluoride in groundwater of Maku area, northwest of Iran

Elham Fijani, Asghar Asghari Moghaddam, Elham Fijani, 2008 .