Machine learning-based approaches for modeling thermophysical properties of hybrid nanofluids: A comprehensive review

A Maleki, A Haghighi, I Mahariq - Journal of Molecular Liquids, 2021 - Elsevier
Thermophysical properties of hybrid nanofluids remarkably affect their behavior in
engineering systems. Among these properties, dynamic viscosity and thermal conductivity …

Utilization of data-driven methods in solar desalination systems: a comprehensive review

M Alhuyi Nazari, M Salem, I Mahariq… - Frontiers in Energy …, 2021 - frontiersin.org
Renewable energy sources have been used for desalination by employing different
technologies and mediums due to the limitations of fossil fuels and the environmental issues …

Advanced hybrid metaheuristic machine learning models application for reference crop evapotranspiration prediction

RMA Ikram, RR Mostafa, Z Chen, ARMT Islam, O Kisi… - Agronomy, 2022 - mdpi.com
Hybrid metaheuristic algorithm (MA), an advanced tool in the artificial intelligence field,
provides precise reference evapotranspiration (ETo) prediction that is highly important for …

Applications of intelligent methods in various types of heat exchangers: a review

M Ghalandari, M Irandoost Shahrestani… - Journal of Thermal …, 2021 - Springer
Heat exchangers are applicable in different industries and technologies, and their
performance is influenced by different parameters. In addition to experimental and time …

On the complexities of sediment load modeling using integrative machine learning: Application of the great river of Loíza in Puerto Rico

M Zounemat-Kermani, A Mahdavi-Meymand… - Journal of …, 2020 - Elsevier
Sediment transportation in water bodies may cause many problems for the water resources
projects and damage the environment. Hence, modeling sediment load components …

Efficiency evaluation of reverse osmosis desalination plant using hybridized multilayer perceptron with particle swarm optimization

M Ehteram, SQ Salih, ZM Yaseen - Environmental Science and Pollution …, 2020 - Springer
The scarcity of freshwater causes the necessity for water delineation of brackish water.
Reverse osmosis (RO) is one of the popular strategies characterized with lower cost and …

Prediction of suspended sediment concentration using hybrid SVM-WOA approaches

S Samantaray, A Sahoo - Geocarto International, 2022 - Taylor & Francis
Suspended sediment concentration (SSC) is one of the primary reasons with respect to
watersheds or river basins, which must be assessed in a correct manner so that it will help …

More reliable predictions of clear-water scour depth at pile groups by robust artificial intelligence techniques while preserving physical consistency

M Najafzadeh, G Oliveto - Soft Computing, 2021 - Springer
This paper presents the results of an investigation on scour around pile groups under steady
currents using artificial intelligence (AI) models. Namely, EPR (Evolutionary Polynomial …

The application of soft computing models and empirical formulations for hydraulic structure scouring depth simulation: a comprehensive review, assessment and …

A Sharafati, M Haghbin, D Motta, ZM Yaseen - Archives of computational …, 2021 - Springer
Prediction of scouring characteristics is one of the major issues in hydraulic and hydrology
engineering. Over the past five decades, numerous empirical formulations (EFs), based on …

Machine learning prediction of biochar yield based on biomass characteristics

J Ma, S Zhang, X Liu, J Wang - Bioresource Technology, 2023 - Elsevier
Slow pyrolysis is a widely used thermochemical pathway that can convert organic waste into
biochar. We employed six machine learning models to predictively model 13 selected …