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Optimized ANFIS models based on grid partitioning, subtractive clustering, and fuzzy C-means to precise prediction of thermophysical properties of hybrid nanofluids

https://doi.org/10.1016/j.cej.2023.144362

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inferred← citeshttps://doi.org/10.1007/s41939-024-00492-6openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s42452-023-05574-7openalex-snapshot

Experimental study and ANFIS modelling of the thermophysical properties and efficacy of GNP-Al2O3 hybrid nanofluids of different concentrations and temperatures

inferred← citeshttps://doi.org/10.1016/j.aej.2023.10.019openalex-snapshot

Entropy analysis and mixed convection of nanofluid flow in a pillow plate heat exchanger in the presence of porous medium

inferred← citeshttps://doi.org/10.1016/j.aej.2025.06.062openalex-snapshot

Rheological behavior of MWCNT-SnO2/SAE50 hybrid nanolubricant: Experimental evaluation and viscosity prediction using optimized machine learning model

inferred← citeshttps://doi.org/10.1016/j.applthermaleng.2025.128684openalex-snapshot

Machine learning and deep learning prediction of in-cylinder pressure and heat release rate in an NH3 – fueled diesel engine

inferred← citeshttps://doi.org/10.1016/j.cej.2024.150059openalex-snapshot

Optimization of thermophysical properties of nanofluids using a hybrid procedure based on machine learning, multi-objective optimization, and multi-criteria decision-making

inferred← citeshttps://doi.org/10.1016/j.cherd.2024.04.009openalex-snapshot

Evaluating nano-metal oxide mixed matrix membranes for whey protein separation using hybrid intelligent optimization learning

inferred← citeshttps://doi.org/10.1016/j.csite.2025.105851openalex-snapshot

Synergizing neural networks with multi-objective thermal exchange optimization and PROMETHEE decision-making to improve PCM-based photovoltaic thermal systems

inferred← citeshttps://doi.org/10.1016/j.csite.2025.106968openalex-snapshot

Pareto optimal design of photovoltaic thermal systems with grooved helical channels using GMDH-type neural networks and multi-objective grey wolf optimizer

inferred← citeshttps://doi.org/10.1016/j.ecmx.2024.100835openalex-snapshot

Integrating artificial Intelligence-Based metaheuristic optimization with Machine learning to enhance Nanomaterial-Containing latent heat thermal energy storage systems

inferred← citeshttps://doi.org/10.1016/j.energy.2024.130606openalex-snapshot

Research and application of a Model selection forecasting system for wind speed and theoretical power generation in wind farms based on classification and wind conversion

inferred← citeshttps://doi.org/10.1016/j.eswa.2023.122326openalex-snapshot

Modeling of the lyotropic cholesteric liquid crystal based toxic gas sensor using adaptive neuro-fuzzy inference systems

inferred← citeshttps://doi.org/10.1016/j.fuel.2024.132431openalex-snapshot

Insights into water-lubricated transport of heavy and extra-heavy oils: Application of CFD, RSM, and metaheuristic optimized machine learning models

inferred← citeshttps://doi.org/10.1016/j.fuel.2024.133182openalex-snapshot

Optimizing the energy values of solid biofuel through acidic pre-treatment: An evolutionary-based neuro-fuzzy modelling and feature importance analysis

inferred← citeshttps://doi.org/10.1016/j.gerr.2025.100119openalex-snapshot

Enhanced prediction of heating value of municipal solid waste using hybrid neuro-fuzzy model and decision tree-based feature importance assessment

inferred← citeshttps://doi.org/10.1016/j.heliyon.2024.e25813openalex-snapshot

Optimization of adaptive neuro–fuzzy inference system (ANFIS) parameters via Box-Behnken experimental design approach: The prediction of chromium adsorption

inferred← citeshttps://doi.org/10.1016/j.icheatmasstransfer.2024.107535openalex-snapshot

A novel insight into the design of perforated-finned heat sinks based on a hybrid procedure: Computational fluid dynamics, machine learning, multi-objective optimization, and multi-criteria decision-making

inferred← citeshttps://doi.org/10.1016/j.icheatmasstransfer.2024.108537openalex-snapshot

Harnessing meta-heuristic, Bayesian, and search-based techniques in optimizing machine learning models for improved energy storage with microencapsulated PCMs

inferred← citeshttps://doi.org/10.1016/j.icheatmasstransfer.2025.109172openalex-snapshot

Innovative hybrid strategy for optimal proton exchange membrane fuel cell design using neural networks, improved sin-cos algorithm, Harris hawks optimization, and MARCOS decision-making

inferred← citeshttps://doi.org/10.1016/j.icheatmasstransfer.2025.109499openalex-snapshot

Designing nano-enhanced cold plates for battery thermal management using ANN-optimized hyperparameters with chimp optimization algorithm, multi-objective chaos game optimization, and TOPSIS decision-making

inferred← citeshttps://doi.org/10.1016/j.icheatmasstransfer.2025.109515openalex-snapshot

A unified framework for optimizing solar-assisted multi-generational energy systems using the multi-objective dragonfly algorithm and neural networks

inferred← citeshttps://doi.org/10.1016/j.icheatmasstransfer.2025.109781openalex-snapshot

Intelligent design framework for finned solar air heaters: A synergy between PSO/GA-tuned MLPNN and multi-objective crystal structure algorithm (MOCryStAl)

inferred← citeshttps://doi.org/10.1016/j.icheatmasstransfer.2025.109852openalex-snapshot

Artificial intelligence-driven modeling and metaheuristic optimization for enhanced PEMFC performance

inferred← citeshttps://doi.org/10.1016/j.icheatmasstransfer.2026.112219openalex-snapshot

Combination of machine learning and AI-based metaheuristic algorithms for process design to enhance biogas and methane yields from lignocellulosic residues

inferred← citeshttps://doi.org/10.1016/j.ijrefrig.2023.09.011openalex-snapshot

Adding tungsten oxide-MWCNTs-silica ternary nanopowders to water-ethylene glycol hybrid base fluid to investigate the rheological behavior of a created nanocolloid

inferred← citeshttps://doi.org/10.1016/j.ijthermalsci.2025.109691openalex-snapshot

Accurate prediction of the rheological behavior of MWCNT-Al2O3/water-ethylene glycol nanofluid with metaheuristic-optimized machine learning models

inferred← citeshttps://doi.org/10.1016/j.jpowsour.2025.238405openalex-snapshot

A wavelet-PSO-ANN integrated framework for modeling thermal management of PCM-based PEM fuel cell stacks in cold climates

inferred← citeshttps://doi.org/10.1016/j.jrras.2025.101989openalex-snapshot

AI-driven design and optimization of microwave radiation-induced pyrolysis systems using machine learning and metaheuristic algorithms

inferred← citeshttps://doi.org/10.1016/j.jrras.2025.102005openalex-snapshot

A hybrid machine learning, metaheuristic optimization, and decision-making framework for solar chimney ground material selection considering radiation effects

inferred← citeshttps://doi.org/10.1016/j.jtice.2024.105927openalex-snapshot

A novel approach for optimizing a photovoltaic thermal system combined with solar thermal collector: Integrating RSM, multi-objective bat algorithm and VIKOR decision maker

inferred← citeshttps://doi.org/10.1016/j.renene.2024.121347openalex-snapshot

Optimization and prediction of biogas yield from pretreated Ulva Intestinalis Linnaeus applying statistical-based regression approach and machine learning algorithms

inferred← citeshttps://doi.org/10.1016/j.rineng.2024.102002openalex-snapshot

Combining artificial intelligence and computational fluid dynamics for optimal design of laterally perforated finned heat sinks

inferred← citeshttps://doi.org/10.1016/j.rineng.2024.102447openalex-snapshot

Hybrid ANFIS-ant colony optimization model for prediction of carbamazepine degradation using electro-Fenton process catalyzed by Fe@Fe2O3 nanowire from aqueous solution

inferred← citeshttps://doi.org/10.1016/j.rineng.2024.102858openalex-snapshot

Enhancing solar energy conversion efficiency: Thermophysical property predicting of MXene/Graphene hybrid nanofluids via bayesian-optimized artificial neural networks

inferred← citeshttps://doi.org/10.1016/j.triboint.2023.108759openalex-snapshot

Using different machine learning algorithms to predict the rheological behavior of oil SAE40-based nano-lubricant in the presence of MWCNT and MgO nanoparticles

inferred← citeshttps://doi.org/10.1016/j.triboint.2023.109031openalex-snapshot

Experimental study and viscosity modeling by adding oxide nanoparticles to oil to improve the performance

inferred← citeshttps://doi.org/10.1016/j.tsep.2024.102750openalex-snapshot

On the evaluation of mono-nanofluids’ density using a radial basis function neural network optimized by evolutionary algorithms

inferred← citeshttps://doi.org/10.1038/s41598-024-71027-9openalex-snapshot

Optimizing Gaussian process regression (GPR) hyperparameters with three metaheuristic algorithms for viscosity prediction of suspensions containing microencapsulated PCMs

inferred← citeshttps://doi.org/10.1038/s41598-024-81044-3openalex-snapshot

Integrating artificial neural networks, multi-objective metaheuristic optimization, and multi-criteria decision-making for improving MXene-based ionanofluids applicable in PV/T solar systems

inferred← citeshttps://doi.org/10.1038/s41598-025-06702-6openalex-snapshot

Optimization of MXene-based aqueous ionic liquids for solar systems using conventional and AI-based techniques

inferred← citeshttps://doi.org/10.1038/s41598-025-07132-0openalex-snapshot

Intelligent design of high-performance fluids for thermal management: integrating response surface methodology, weighted Tchebycheff method, and strength Pareto evolutionary algorithm II

inferred← citeshttps://doi.org/10.1038/s41598-025-15359-0openalex-snapshot

Design of a liquid cooled battery thermal management system using neural networks, cheetah optimizer and salp swarm algorithm

inferred← citeshttps://doi.org/10.1038/s41598-025-17366-7openalex-snapshot

Optimizing MXene graphene based fluids for solar energy conversion and storage using a novel intelligent framework

inferred← citeshttps://doi.org/10.1038/s41598-026-36233-7openalex-snapshot

Intelligent multi-objective optimization of thermal comfort and ventilation performance in stratum ventilation design

inferred← citeshttps://doi.org/10.1038/s41598-026-46104-wopenalex-snapshot

A novel intelligent framework for harnessing underground thermal energy through the optimization of grout and backfill thermophysical properties

inferred← citeshttps://doi.org/10.1039/d5su00638dopenalex-snapshot

Assessing the environmental footprint of electrochromic windows: a comparative LCA with AI-based forecasting

inferred← citeshttps://doi.org/10.1063/5.0211527openalex-snapshot

Multimodal dementia identification using lifestyle and brain lesions, a machine learning approach

inferred← citeshttps://doi.org/10.1080/0144929x.2026.2633773openalex-snapshot

Unveiling determinants of autonomous vehicle adoption through SEM-ANFIS modelling

inferred← citeshttps://doi.org/10.1109/fuzz62266.2025.11152221openalex-snapshot

Interpretable Fuzzy Systems For Forward Osmosis Desalination

inferred← citeshttps://doi.org/10.11648/j.ajmcm.20240901.12openalex-snapshot

A Hybrid Intelligent Noise Pollution Prediction Model Based on ANFIS and Nature-Inspired Algorithms

inferred← citeshttps://doi.org/10.1186/s43067-025-00302-0openalex-snapshot

Enhanced estimation and short-term forecasting of output power of a solar photovoltaic plant using adaptive neuro-fuzzy inference system (ANFIS)

inferred← citeshttps://doi.org/10.2298/tsci230312005aopenalex-snapshot

Prediction of nanofluid thermal conductivity and viscosity with machine learning and molecular dynamics

inferred← citeshttps://doi.org/10.3390/en17246456openalex-snapshot

Adaptive Neuro-Fuzzy System for Detection of Wind Turbine Blade Defects

inferred← citeshttps://doi.org/10.3390/nano16060359openalex-snapshot

Experimental Investigation into Stability, Heat Transfer, and Flow Characteristics of TiO2-SiO2 Hybrid Nanofluids Under Multiple Influencing Factors

inferred← citeshttps://doi.org/10.3390/su17167371openalex-snapshot

Nanofluid-Enhanced HVAC&R Systems (2015–2025): Experimental, Numerical, and AI-Driven Insights with a Strategic Roadmap

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