Rahim Barzegar

发表

An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks

Jan Adamowski, Rahim Barzegar, Masoud Sattarpour, 2019, Neural Computing and Applications.

Using a boundary-corrected wavelet transform coupled with machine learning and hybrid deep learning approaches for multi-step water level forecasting in Lakes Michigan and Ontario

Jan Adamowski, Mohammad Taghi Aalami, John Quilty, 2020 .

Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters.

Rahim Barzegar, Ravinesh Deo, Elham Fijani, 2019, The Science of the total environment.

Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms.

Rahim Barzegar, Ravinesh Deo, Elham Fijani, 2018, The Science of the total environment.

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.

Improving Deep Learning hydrological time series modeling using Gaussian Filter preprocessing

Jan Adamowski, John Quilty, Rahim Barzegar, 2021 .

Improving GALDIT-based groundwater vulnerability predictive mapping using coupled resampling algorithms and machine learning models

Jan Adamowski, John Quilty, Rahim Barzegar, 2021, Journal of Hydrology.

Coupling a hybrid CNN-LSTM deep learning model with a Boundary Corrected Maximal Overlap Discrete Wavelet Transform for multiscale Lake water level forecasting

Jan Adamowski, Mohammad Taghi Aalami, Rahim Barzegar, 2021, Journal of Hydrology.

Mapping Risk to Land Subsidence: Developing a Two-Level Modeling Strategy by Combining Multi-Criteria Decision-Making and Artificial Intelligence Techniques

Sina Sadeghfam, Marjan Moazamnia, Rahim Barzegar, 2021, Water.

Improving daily stochastic streamflow prediction: comparison of novel hybrid data-mining algorithms

Zaher Mundher Yaseen, Amir Mosavi, Khabat Khosravi, 2021, Hydrological Sciences Journal.

Advanced Hybrid Machine Learning Algorithms for Multistep Lake Water Level Forecasting

Jan Adamowski, Khabat Khosravi, John Quilty, 2021 .

Comparison of machine learning models for predicting fluoride contamination in groundwater

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

Stochastic Modeling of Groundwater Fluoride Contamination: Introducing Lazy Learners

Jan Adamowski, Khabat Khosravi, Binh Thai Pham, 2019, Ground water.

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.

Identification of hydrogeochemical processes and pollution sources of groundwater resources in the Marand plain, northwest of Iran

Asghar Asghari Moghaddam, Rahim Barzegar, Evangelos Tziritis, 2017, Environmental Earth Sciences.

A supervised committee machine artificial intelligent for improving DRASTIC method to assess groundwater contamination risk: a case study from Tabriz plain aquifer, Iran

Asghar Asghari Moghaddam, Rahim Barzegar, Hamed Baghban, 2016, Stochastic Environmental Research and Risk Assessment.

Using bootstrap ELM and LSSVM models to estimate river ice thickness in the Mackenzie River Basin in the Northwest Territories, Canada

Jan Adamowski, John Quilty, Zhiming Qi, 2019, Journal of Hydrology.

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.