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 …
engineering systems. Among these properties, dynamic viscosity and thermal conductivity …
Utilization of data-driven methods in solar desalination systems: a comprehensive review
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 …
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
Hybrid metaheuristic algorithm (MA), an advanced tool in the artificial intelligence field,
provides precise reference evapotranspiration (ETo) prediction that is highly important for …
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 …
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 …
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
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 …
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 …
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 …
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 …
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 …
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 …
biochar. We employed six machine learning models to predictively model 13 selected …