Machine-learning models to predict hydrogen uptake of porous carbon materials from influential variables
Hydrogen (H 2) absorption percentage by porous carbon media (PCM) is important for
identifying efficient H 2 storage media. PCM with H 2-uptakes of greater than 5 wt% are …
identifying efficient H 2 storage media. PCM with H 2-uptakes of greater than 5 wt% are …
Integration of artificial intelligence methods and life cycle assessment to predict energy output and environmental impacts of paddy production
A Nabavi-Pelesaraei, S Rafiee, SS Mohtasebi… - Science of the total …, 2018 - Elsevier
Prediction of agricultural energy output and environmental impacts play important role in
energy management and conservation of environment as it can help us to evaluate …
energy management and conservation of environment as it can help us to evaluate …
Sensitivity analysis and application of machine learning methods to predict the heat transfer performance of CNT/water nanofluid flows through coils
Nowadays, nanofluids are broadly utilized for various engineering and industrial systems
including heat exchangers, power plants, air-conditioning, etc. The helically coiled tube heat …
including heat exchangers, power plants, air-conditioning, etc. The helically coiled tube heat …
Comprehensive model of energy, environmental impacts and economic in rice milling factories by coupling adaptive neuro-fuzzy inference system and life cycle …
A Nabavi-Pelesaraei, S Rafiee, SS Mohtasebi… - Journal of cleaner …, 2019 - Elsevier
The increasing energy demand, limited fossil fuel resources and effects of climate change,
lead to problems with regard to sustainability of production in food industry. Hence, this …
lead to problems with regard to sustainability of production in food industry. Hence, this …
Application of adaptive neuro fuzzy interface system optimized with evolutionary algorithms for modeling CO2-crude oil minimum miscibility pressure
A Karkevandi-Talkhooncheh, S Hajirezaie… - Fuel, 2017 - Elsevier
CO 2 injection is known as one of the most reliable enhanced oil recovery techniques. The
success of every gas injection process depends highly on the minimum miscibility pressure …
success of every gas injection process depends highly on the minimum miscibility pressure …
Modeling of wax disappearance temperature (WDT) using soft computing approaches: Tree-based models and hybrid models
B Amiri-Ramsheh, M Safaei-Farouji, A Larestani… - Journal of Petroleum …, 2022 - Elsevier
Solid scales can cause significant problems in oil production and transmission systems such
as oil flow rate reduction. Wax is one of the most critical substances that are highly prone to …
as oil flow rate reduction. Wax is one of the most critical substances that are highly prone to …
Estimating CO2-Brine diffusivity using hybrid models of ANFIS and evolutionary algorithms
One of the important parameters illustrating the mass transfer process is the diffusion
coefficient of carbon dioxide which has a great impact on carbon dioxide storage in marine …
coefficient of carbon dioxide which has a great impact on carbon dioxide storage in marine …
An insight into the modeling of sulfur content of sour gases in supercritical region
A Bemani, A Baghban, AH Mohammadi - Journal of Petroleum Science and …, 2020 - Elsevier
Sour gas reservoirs are one of the well-known energy re-sources in the world so
investigation of their problems especially deposition of sulfur is of interest for chemical and …
investigation of their problems especially deposition of sulfur is of interest for chemical and …
Optimization methods using artificial intelligence algorithms to estimate thermal efficiency of PV/T system
M Zamen, A Baghban, SM Pourkiaei… - Energy Science & …, 2019 - Wiley Online Library
Renewable energies, specifically solar energy has been employed in numerous
applications while being CO 2 emission free energy in comparison with fossil fuel resources …
applications while being CO 2 emission free energy in comparison with fossil fuel resources …
Towards experimental and modeling study of heat transfer performance of water- SiO2 nanofluid in quadrangular cross-section channels
A Baghban, J Sasanipour, F Pourfayaz… - … of computational fluid …, 2019 - Taylor & Francis
Nanofluids have found extended applications in different industrial and engineering systems
nowadays. This study aims to investigate the accurate prediction of SiO2 nanofluid effect on …
nowadays. This study aims to investigate the accurate prediction of SiO2 nanofluid effect on …