Optimizing Gaussian process regression (GPR) hyperparameters with three metaheuristic algorithms for viscosity prediction of suspensions containing …
Suspensions containing microencapsulated phase change materials (MPCMs) play a
crucial role in thermal energy storage (TES) systems and have applications in building …
crucial role in thermal energy storage (TES) systems and have applications in building …
Insights into water-lubricated transport of heavy and extra-heavy oils: Application of CFD, RSM, and metaheuristic optimized machine learning models
With diminishing light crude oil reserves, the focus shifts to heavy and extra-heavy crude oil,
posing challenges with high viscosity impeding flow. Water-lubricated technology addresses …
posing challenges with high viscosity impeding flow. Water-lubricated technology addresses …
Integrating artificial neural networks, multi-objective metaheuristic optimization, and multi-criteria decision-making for improving MXene-based ionanofluids applicable …
Optimization of thermophysical properties (TPPs) of MXene-based nanofluids is essential to
increase the performance of hybrid solar photovoltaic and thermal (PV/T) systems. This …
increase the performance of hybrid solar photovoltaic and thermal (PV/T) systems. This …
Artificial neural network hyperparameters optimization for predicting the thermal conductivity of MXene/graphene nanofluids
Background The critical role of thermal conductivity (TC) as a significant thermo-physical
property in MXene/graphene-based nanofluids for photovoltaic/thermal systems has …
property in MXene/graphene-based nanofluids for photovoltaic/thermal systems has …
[HTML][HTML] Enhancing solar energy conversion efficiency: Thermophysical property predicting of MXene/Graphene hybrid nanofluids via bayesian-optimized artificial …
Accurately predicting thermo-physical properties (TPPs) of MXene/graphene-based
nanofluids is crucial for photovoltaic/thermal solar systems, driving focused research on …
nanofluids is crucial for photovoltaic/thermal solar systems, driving focused research on …
Optimizing ternary hybrid nanofluids using neural networks, gene expression programming, and multi-objective particle swarm optimization: a computational …
The performance of nanofluids is largely determined by their thermophysical properties.
Optimizing these properties can significantly enhance nanofluid performance. This study …
Optimizing these properties can significantly enhance nanofluid performance. This study …
Accurate prediction of the rheological behavior of MWCNT-Al2O3/water-ethylene glycol nanofluid with metaheuristic-optimized machine learning models
The accurate prediction of the rheological properties of nanofluids is critical for optimizing
their application in various industrial systems. This study focuses on the dynamic viscosity …
their application in various industrial systems. This study focuses on the dynamic viscosity …
Harnessing meta-heuristic, Bayesian, and search-based techniques in optimizing machine learning models for improved energy storage with microencapsulated …
In recent years, systems based on microencapsulated phase change materials (MPCMs)
have found applications in thermal energy storage, smart building construction, and battery …
have found applications in thermal energy storage, smart building construction, and battery …
A novel approach for optimizing a photovoltaic thermal system combined with solar thermal collector: Integrating RSM, multi-objective bat algorithm and VIKOR …
CY Hsu, H Pallathadka, P Patel, KS Yogi… - Journal of the Taiwan …, 2025 - Elsevier
Background A critical gap persists in solar technologies research regarding combining
response surface methodology (RSM) and the optimization capabilities of artificial …
response surface methodology (RSM) and the optimization capabilities of artificial …
[HTML][HTML] Synergizing Neural Networks with Multi-Objective Thermal Exchange Optimization and PROMETHEE Decision-Making to Improve PCM-based Photovoltaic …
This study addresses the integration of machine learning (ML) and artificial intelligence (AI)
for optimizing photovoltaic-thermal (PVT) systems. While ML modeling has become …
for optimizing photovoltaic-thermal (PVT) systems. While ML modeling has become …