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Majid Gholami Shirkoohi
Majid Gholami Shirkoohi
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Short-term water demand predictions coupling an artificial neural network model and a genetic algorithm
MG Shirkoohi, M Doghri, S Duchesne
Water Supply 21 (5), 2374-2386, 2021
312021
Integration of flare gas with fuel gas network in refineries
N Tahouni, M Gholami, MH Panjeshahi
Energy 111, 82-91, 2016
292016
Artificial intelligence techniques in electrochemical processes for water and wastewater treatment: a review
MG Shirkoohi, RD Tyagi, PA Vanrolleghem, P Drogui
Journal of Environmental Health Science and Engineering 20 (2), 1089-1109, 2022
112022
Modelling and optimization of psychoactive pharmaceutical caffeine removal by electrochemical oxidation process: A comparative study between response surface methodology (RSM …
MG Shirkoohi, RD Tyagi, PA Vanrolleghem, P Drogui
Separation and Purification Technology 290, 120902, 2022
112022
A comparison of artificial intelligence models for predicting phosphate removal efficiency from wastewater using the electrocoagulation process
MG Shirkoohi, RD Tyagi, PA Vanrolleghem, P Drogui
Digital Chemical Engineering 4, 100043, 2022
102022
Reducing energy consumption and GHG emission by integration of flare gas with fuel gas network in refinery
N Tahouni, M Gholami, MH Panjeshahi
Int. J. Chem. Nucl. Mater. Metall. Eng 8, 900-904, 2014
62014
Artificial neural networks and genetic algorithms: An efficient modelling and optimization methodology for active chlorine production using the electrolysis process
M Gholami Shirkoohi, R D Tyagi, PA Vanrolleghem, P Drogui
The Canadian Journal of Chemical Engineering 99, S389-S403, 2021
52021
Mathematical Modeling of the Electro-Oxidation Process
MG Shirkoohi, MRK Estahbanati, Z Nayernia, P Ramin, KV Gernaey, ...
Electro-Coagulation and Electro-Oxidation in Water and Wastewater Treatment …, 2022
12022
Role of chemical treatments in pharmaceuticals degradation and its consequences and environmental risks
MG Shirkoohi, AK Mostafazadeh, Y Ouarda, P Drogui
Current Developments in Biotechnology and Bioengineering, 521-548, 2020
12020
Multi-task deep learning for large-scale buildings energy management
R Wang, R Rayhana, M Gholami, OE Herrera, Z Liu, W Mérida
Energy and Buildings 307, 113964, 2024
2024
Techniques d'intelligence artificielle dans la modélisation du processus électrochimique pour le traitement des eaux résiduaires.
M Gholami Shirkoohi
Doctorat en sciences de l'eau, 2022
2022
Short-Term Water Demand Forecast Modelling Using Artificial Neural Networks and Genetic Algorithm.
M Gholami Shirkoohi, M Doghri, S Duchesne, P Drogui
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Artikelen 1–12