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Meysam Alizamir

Showing results (1-10 of 11) with videos related to

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Environmental Science and Pollution Research International|January 12, 2020
Dissolved oxygen prediction using a new ensemble methodOzgur Kisi, Meysam Alizamir, AliReza Docheshmeh Gorgij
Environmental Science and Pollution Research International|November 5, 2021
Prediction of effluent arsenic concentration of wastewater treatment plants using machine learning and kriging-based modelsMohammad Zounemat-Kermani, Meysam Alizamir, Behrooz Keshtegar, et al.
Scientific Reports|September 6, 2024
Designing a reliable machine learning system for accurately estimating the ultimate condition of FRP-confined concreteMeysam Alizamir, Aliakbar Gholampour, Sungwon Kim, et al.
Journal of Environmental Management|June 9, 2020
Assessing the biochemical oxygen demand using neural networks and ensemble tree approaches in South KoreaSungwon Kim, Meysam Alizamir, Mohammad Zounemat-Kermani, et al.
Plos One|December 27, 2023
Development of a robust daily soil temperature estimation in semi-arid continental climate using meteorological predictors based on computational intelligent paradigmsMeysam Alizamir, Kaywan Othman Ahmed, Sungwon Kim, et al.
Scientific Reports|October 10, 2025
Development of the machine learning and deep learning models with SHAP strategy for predicting groundwater levels in South KoreaSungwon Kim, Meysam Alizamir, Salim Heddam, et al.
Scientific Reports|January 3, 2025
The development of an efficient artificial intelligence-based classification approach for colorectal cancer response to radiochemotherapy: deep learning vs. machine learningFatemeh Bahrambanan, Meysam Alizamir, Kayhan Moradveisi, et al.
Mathematical Biosciences and Engineering : MBE|January 19, 2023
Estimating the incubated river water quality indicator based on machine learning and deep learning paradigms: BOD5 PredictionSungwon Kim, Meysam Alizamir, Youngmin Seo, et al.
Plos One|April 15, 2020
Advanced machine learning model for better prediction accuracy of soil temperature at different depthsMeysam Alizamir, Ozgur Kisi, Ali Najah Ahmed, et al.
Environmental Monitoring and Assessment|June 26, 2021
Assessment of the total organic carbon employing the different nature-inspired approaches in the Nakdong River, South KoreaSungwon Kim, Niloofar Maleki, Mohammad Rezaie-Balf, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Environmental Science and Pollution Research International|January 12, 2020
Dissolved oxygen prediction using a new ensemble methodOzgur Kisi, Meysam Alizamir, AliReza Docheshmeh Gorgij
Environmental Science and Pollution Research International|November 5, 2021
Prediction of effluent arsenic concentration of wastewater treatment plants using machine learning and kriging-based modelsMohammad Zounemat-Kermani, Meysam Alizamir, Behrooz Keshtegar, et al.
Scientific Reports|September 6, 2024
Designing a reliable machine learning system for accurately estimating the ultimate condition of FRP-confined concreteMeysam Alizamir, Aliakbar Gholampour, Sungwon Kim, et al.
Journal of Environmental Management|June 9, 2020
Assessing the biochemical oxygen demand using neural networks and ensemble tree approaches in South KoreaSungwon Kim, Meysam Alizamir, Mohammad Zounemat-Kermani, et al.
Plos One|December 27, 2023
Development of a robust daily soil temperature estimation in semi-arid continental climate using meteorological predictors based on computational intelligent paradigmsMeysam Alizamir, Kaywan Othman Ahmed, Sungwon Kim, et al.
Scientific Reports|October 10, 2025
Development of the machine learning and deep learning models with SHAP strategy for predicting groundwater levels in South KoreaSungwon Kim, Meysam Alizamir, Salim Heddam, et al.
Scientific Reports|January 3, 2025
The development of an efficient artificial intelligence-based classification approach for colorectal cancer response to radiochemotherapy: deep learning vs. machine learningFatemeh Bahrambanan, Meysam Alizamir, Kayhan Moradveisi, et al.
Mathematical Biosciences and Engineering : MBE|January 19, 2023
Estimating the incubated river water quality indicator based on machine learning and deep learning paradigms: BOD5 PredictionSungwon Kim, Meysam Alizamir, Youngmin Seo, et al.
Plos One|April 15, 2020
Advanced machine learning model for better prediction accuracy of soil temperature at different depthsMeysam Alizamir, Ozgur Kisi, Ali Najah Ahmed, et al.
Environmental Monitoring and Assessment|June 26, 2021
Assessment of the total organic carbon employing the different nature-inspired approaches in the Nakdong River, South KoreaSungwon Kim, Niloofar Maleki, Mohammad Rezaie-Balf, et al.
Pageof 2