Работы, на которые ссылается эта работа

Работ: 91

Работа: Prediction of the thermophysical properties of Ag-reduced graphene oxide-water/ethylene-glycol hybrid nanofluids using different machine learning methods

XGBoost
Tianqi Chen, Carlos Guestrin
Статья2016Цитирований: 39
ABI
A fast and elitist multiobjective genetic algorithm: NSGA-II
Kalyanmoy Deb, Amrit Pratap, Sakshi Agarwal +1
Статья2002Цитирований: 12
ABI
Summarizing multiple aspects of model performance in a single diagram
Karl E. Taylor
Статья2001Цитирований: 6
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
Optimization of thermophysical properties of nanofluids using a hybrid procedure based on machine learning, multi-objective optimization, and multi-criteria decision-making
Tao Zhang, Anahita Manafi Khajeh Pasha, S. Mohammad Sajadi +5
Статья2024Цитирований: 5
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
STATE OF ART SURVEYS OF OVERVIEWS ON MCDM/MADM METHODS
Edmundas Kazimieras Zavadskas, Zenonas Turskis, Simona Kildienė
Статья2014Цитирований: 3
ABI
Utilizing machine learning algorithms for prediction of the rheological behavior of ZnO (50%)-MWCNTs (50%)/ Ethylene glycol (20%)-water (80%) nano-refrigerant
Xiedong Song, Mohammadreza Baghoolizadeh, As’ad Alizadeh +5
Статья2024Цитирований: 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
An experimental investigation and new correlation of viscosity of ZnO–EG nanofluid at various temperatures and different solid volume fractions
Mohammad Hemmat Esfe, Seyfolah Saedodin
Статья2014Цитирований: 3
ABI
Thermal performance enhancement of a flat plate solar collector using hybrid nanofluid
Omar Hussein, Khairul Habib, Ali Samer Muhsan +3
Статья2020Цитирований: 3
ABI
Amplifying thermal performance of solar flat plate collector by Al2O3/ Cu/MWCNT/SiO2 mono and hybrid nanofluid
T. Sathish, Jayant Giri, R. Saravanan +5
Статья2024Цитирований: 3
ABI
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
Han Zhou, Ali B.M. Ali, Hussein Zekri +7
СтатьяNanofluid Flow and Heat TransferCase Studies in Thermal Engineering2024Цитирований: 2
ABI
Unveiling the magic of localized magnetic field on vortex dynamics and heat transfer of tetra-hybrid nanofluid in lid-driven cavity: an insightful investigation
Shabbir Ahmad, Kashif Ali, Tahar Tayebi +5
Статья2024Цитирований: 2
ABI
Methods for Multiple Attribute Decision Making
Ching-Lai Hwang, Kwangsun Yoon
Глава1981Цитирований: 2
ABI
Application of decision-making techniques in supplier selection: A systematic review of literature
Junyi Chai, James N.K. Liu, Eric W.T. Ngai
Обзорная статья2012Цитирований: 2
ABI
Multiple Attribute Decision Making
Kwangsun Yoon, Ching-Lai Hwang
Книга1995Цитирований: 2
ABI
Без названия
ДругоеЦитирований: 2
ABI
A comprehensive review on nanofluids: Synthesis, cutting-edge applications, and future prospects
Habib Ben Bacha, Naeem Ullah, Aamir Hamid +1
Обзорная статья2024Цитирований: 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
Increment of specific heat capacity of solar salt with SiO2 nanoparticles
Patricia Andreu‐Cabedo, Rosa Mondragón, Leonor Hernández +3
Статья2014Цитирований: 2
ABI