Работы, на которые ссылается эта работа

Работ: 54

Работа: RETRACTED: Combination of group method of data handling neural network with multi-objective gray wolf optimizer to predict the viscosity of MWCNT-TiO2 -oil SAE50 nanofluid

Machine learning-based estimation of nano-lubricants viscosity in different operating conditions
Amin Bemani, Mohammad Madani, Alireza Kazemi
Статья2023Цитирований: 25
ABI
Grey Wolf Optimizer
Seyedali Mirjalili, Seyed Mohammad Mirjalili, Andrew Lewis
Статья2014Цитирований: 22
ABI
The effect of canard’s optimum geometric design on wake control behind the car using Artificial Neural Network and Genetic Algorithm
Mohammad Rostamzadeh‐Renani, Mohammadreza Baghoolizadeh, Reza Rostamzadeh‐Renani +2
Статья2022Цитирований: 5
ABI
Multi‐objective optimization of annual electricity consumption and annual electricity production of a residential building using photovoltaic shadings
Mohammadreza Baghoolizadeh, Afshin Ahmadi Nadooshan, Seyed Amir Hossein Hashemi Dehkordi +3
Статья2022Цитирований: 5
ABI
A prediction model for CO2 concentration and multi-objective optimization of CO2 concentration and annual electricity consumption cost in residential buildings using ANN and GA
Mohammadreza Baghoolizadeh, Mohammad Rostamzadeh‐Renani, Seyed Amir Hossein Hashemi Dehkordi +2
Статья2022Цитирований: 4
ABI
Optimization of annual electricity consumption costs and the costs of insulation and phase change materials in the residential building using artificial neural network and genetic algorithm methods
Mohammadreza Baghoolizadeh, Seyed Amir Hossein Hashemi Dehkordi, Mohammad Rostamzadeh‐Renani +3
Статья2023Цитирований: 4
ABI
Using different machine learning algorithms to predict the rheological behavior of oil SAE40-based nano-lubricant in the presence of MWCNT and MgO nanoparticles
Mohammadreza Baghoolizadeh, Navid Nasajpour-Esfahani, Mostafa Pirmoradian +1
Статья2023Цитирований: 4
ABI
Prediction of the thermal behavior of multi-walled carbon nanotubes-CuO-CeO2 (20-40-40)/water hybrid nanofluid using different types of regressors and evolutionary algorithms for designing the best artificial neural network modeling
Reza Rostamzadeh‐Renani, Mohammadreza Baghoolizadeh, S. Mohammad Sajadi +4
Статья2023Цитирований: 4
ABI
Multi-objective optimization of Venetian blinds in office buildings to reduce electricity consumption and improve visual and thermal comfort by NSGA-II
Mohammadreza Baghoolizadeh, Mohammad Rostamzadeh‐Renani, Reza Rostamzadeh‐Renani +1
Статья2022Цитирований: 3
ABI
The effect of photovoltaic shading with ideal tilt angle on the energy cost optimization of a building model in European cities
Mohammadreza Baghoolizadeh, Afshin Ahmadi Nadooshan, Afrasiab Raisi +1
Статья2022Цитирований: 3
ABI
Improving CO2 concentration, CO2 pollutant and occupants’ thermal comfort in a residential building using genetic algorithm optimization
Mohammadreza Baghoolizadeh, Mohammad Rostamzadeh‐Renani, Mohammad Hakimazari +1
Статья2023Цитирований: 3
ABI
An overview of the magnetic field effect on heat transfer and entropy generation in cavities: Application of the second law of thermodynamics and artificial intelligence
Morteza Bayareh, Mohammadreza Baghoolizadeh
Статья2024Цитирований: 3
ABI
The effect of vortex generators on the hydrodynamic performance of a submarine at a high angle of attack using a multi-objective optimization and computational fluid dynamics
Mohammad Rostamzadeh‐Renani, Reza Rostamzadeh‐Renani, Mohammadreza Baghoolizadeh +1
Статья2023Цитирований: 3
ABI
Multi-objective optimization of rheological behavior of nanofluids containing CuO nanoparticles by NSGA II, MOPSO, and MOGWO evolutionary algorithms and group method of data handling artificial neural networks
Reza Rostamzadeh‐Renani, Dheyaa J. Jasim, Mohammadreza Baghoolizadeh +4
Статья2023Цитирований: 3
ABI
A review on thermophysical properties of nanofluids and heat transfer applications
Munish Kumar Gupta, Vinay Singh, Rajesh Kumar +1
Обзорная статья2017Цитирований: 2
ABI
A novel comprehensive experimental study concerned synthesizes and prepare liquid paraffin-Fe3O4 mixture to develop models for both thermal conductivity & viscosity: A new approach of GMDH type of neural network
Amin Shahsavar, Shoaib Khanmohammadi, Arash Karimipour +1
Статья2018Цитирований: 2
ABI
A multi-objective optimization of a building’s total heating and cooling loads and total costs in various climatic situations using response surface methodology
Mohammadreza Baghoolizadeh, Reza Rostamzadeh‐Renani, Mohammad Rostamzadeh‐Renani +1
Статья2021Цитирований: 2
ABI
An experimental investigation and comprehensive modelling of thermal and rheological behaviour of graphene oxide nano platelets suspended mineral oil nano lubricant
R. Dinesh, P. Karuppasamy, S. Kalaiselvam
Статья2021Цитирований: 2
ABI
Development of knowledge management in investigating the rheological behavior of SiO2/SAE50 nano-lubricant by response surface methodology (RSM)
Hossein Hatami, Rouhollah Tavallaee, Morteza Sarbaz Karajabad +1
Статья2023Цитирований: 2
ABI
Determining the best structure for an artificial neural network to model the dynamic viscosity of MWCNT-ZnO (25:75)/SAE 10W40 oil nano-lubricant
Mohammad Hemmat Esfe, S. Ali Eftekhari, S. Mohammad Sajadi +3
Статья2023Цитирований: 2
ABI
RETRACTED: Using of artificial neural networks and different evolutionary algorithms to predict the viscosity and thermal conductivity of silica-alumina-MWCN/water nanofluid
Mohammadreza Baghoolizadeh, Dheyaa J. Jasim, S. Mohammad Sajadi +3
Статья2024Цитирований: 2
ABI
Prediction and extensive analysis of MWCNT-MgO/oil SAE 50 hybrid nano-lubricant rheology utilizing machine learning and genetic algorithms to find ideal attributes
Mohammadreza Baghoolizadeh, Mostafa Pirmoradian, S. Mohammad Sajadi +2
Статья2024Цитирований: 2
ABI
Без названия
ДругоеЦитирований: 2
ABI
Без названия
ДругоеЦитирований: 2
ABI
Без названия
ДругоеЦитирований: 2
ABI