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Saeid Atashrouz

Showing results (11-20 of 19) with videos related to

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Scientific Reports|April 7, 2026
Predicting methane adsorption in coal and shale with white-box and black-box machine learning modelsAmir Hossein Sheikhshoaei, Fahimeh Hadavimoghaddam, Meftah Ali Abuswer, et al.
Water Environment Research : a Research Publication of the Water Environment Federation|January 3, 2024
On the evaluating membrane flux of forward osmosis systems: Data assessment and advanced intelligent modelingHesamedin Hekmatmehr, Ali Esmaeili, Saeid Atashrouz, et al.
Scientific Reports|November 25, 2023
Toward empirical correlations for estimating the specific heat capacity of nanofluids utilizing GRG, GP, GEP, and GMDHOmid Deymi, Fahimeh Hadavimoghaddam, Saeid Atashrouz, et al.
Scientific Reports|October 8, 2025
Toward accurate prediction of N<sub>2</sub> uptake capacity in metal-organic frameworksArefeh Naghizadeh, Ahmadreza Jafari-Sirizi, Fahimeh Hadavimoghaddam, et al.
Scientific Reports|August 14, 2025
Advanced intelligent techniques for modeling oxygen storage in zeolite-based porous materialsArefeh Naghizadeh, Ahmadreza Jafari-Sirizi, Behnam Amiri-Ramsheh, et al.
Scientific Reports|May 16, 2023
Modeling of H<sub>2</sub>S solubility in ionic liquids: comparison of white-box machine learning, deep learning and ensemble learning approachesSeyed-Pezhman Mousavi, Reza Nakhaei-Kohani, Saeid Atashrouz, et al.
Scientific Reports|July 24, 2023
Insights into modeling refractive index of ionic liquids using chemical structure-based machine learning methodsAli Esmaeili, Hesamedin Hekmatmehr, Saeid Atashrouz, et al.
Scientific Reports|June 12, 2024
Modeling CO<sub>2</sub> solubility in water using gradient boosting and light gradient boosting machineAtena Mahmoudzadeh, Behnam Amiri-Ramsheh, Saeid Atashrouz, et al.
Scientific Reports|September 10, 2021
Modeling hydrogen solubility in hydrocarbons using extreme gradient boosting and equations of stateMohammad-Reza Mohammadi, Fahime Hadavimoghaddam, Maryam Pourmahdi, et al.
Pageof 2

Showing results (11-20 of 19) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 19 results.
Scientific Reports|April 7, 2026
Predicting methane adsorption in coal and shale with white-box and black-box machine learning modelsAmir Hossein Sheikhshoaei, Fahimeh Hadavimoghaddam, Meftah Ali Abuswer, et al.
Water Environment Research : a Research Publication of the Water Environment Federation|January 3, 2024
On the evaluating membrane flux of forward osmosis systems: Data assessment and advanced intelligent modelingHesamedin Hekmatmehr, Ali Esmaeili, Saeid Atashrouz, et al.
Scientific Reports|November 25, 2023
Toward empirical correlations for estimating the specific heat capacity of nanofluids utilizing GRG, GP, GEP, and GMDHOmid Deymi, Fahimeh Hadavimoghaddam, Saeid Atashrouz, et al.
Scientific Reports|October 8, 2025
Toward accurate prediction of N<sub>2</sub> uptake capacity in metal-organic frameworksArefeh Naghizadeh, Ahmadreza Jafari-Sirizi, Fahimeh Hadavimoghaddam, et al.
Scientific Reports|August 14, 2025
Advanced intelligent techniques for modeling oxygen storage in zeolite-based porous materialsArefeh Naghizadeh, Ahmadreza Jafari-Sirizi, Behnam Amiri-Ramsheh, et al.
Scientific Reports|May 16, 2023
Modeling of H<sub>2</sub>S solubility in ionic liquids: comparison of white-box machine learning, deep learning and ensemble learning approachesSeyed-Pezhman Mousavi, Reza Nakhaei-Kohani, Saeid Atashrouz, et al.
Scientific Reports|July 24, 2023
Insights into modeling refractive index of ionic liquids using chemical structure-based machine learning methodsAli Esmaeili, Hesamedin Hekmatmehr, Saeid Atashrouz, et al.
Scientific Reports|June 12, 2024
Modeling CO<sub>2</sub> solubility in water using gradient boosting and light gradient boosting machineAtena Mahmoudzadeh, Behnam Amiri-Ramsheh, Saeid Atashrouz, et al.
Scientific Reports|September 10, 2021
Modeling hydrogen solubility in hydrocarbons using extreme gradient boosting and equations of stateMohammad-Reza Mohammadi, Fahime Hadavimoghaddam, Maryam Pourmahdi, et al.
Pageof 2