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Advanced modelling and optimization of steam methane reforming: From CFD simulation to machine learning - Driven optimization
A machine learning-based framework for estimating fragility parameters in RC/MR frames considering seismic, structural, and site attributes
Molecular Dynamics Simulation of Fatigue Crack Propagation in Single Crystal Aluminum Under Cyclic Loading
Using visible and near infrared spectroscopy and machine learning for estimating total petroleum hydrocarbons in contaminated soils
Using visible and near infrared spectroscopy and machine learning for estimating total petroleum hydrocarbons in contaminated soils
Using visible and near infrared spectroscopy and machine learning for estimating total petroleum hydrocarbons in contaminated soils
Theoretical study of the efficiencies of graphyne supported Mo single-atom catalyst (SAC) and Mo-Ni dual-atom catalyst (DAC) on hydrogen evolution reaction
Single-atom catalysts (SACs) for CO <sub>2</sub> to CO conversion using Cu, Ni, and Co on graphene flakes support; a DFT study
CWBCM method to determine the importance of classification performance evaluation criteria in machine learning: Case studies of COVID-19, Diabetes, and Thyroid Disease
A deep learning-genetic algorithm approach for aerodynamic inverse design via optimization of pressure distribution
Optimizing Hub-And-Spoke Networks Under Demand Uncertainty: A Stochastic Capacitated Single Allocation P-Hub Covering Model with Lagrangian Relaxation
Optimizing Hub-And-Spoke Networks Under Demand Uncertainty: A Stochastic Capacitated Single Allocation P-Hub Covering Model with Lagrangian Relaxation
A DFT screening of CH4 detection by (8,0) single-walled carbon nanotubes decorated with small tin oxide clusters
Three-dimensional wake transition of rectangular cylinders and temporal prediction of flow patterns based on a machine learning algorithm
Upgrade in the elastic surface algorithm for airfoil inverse design with variable attack angle via controlled leading-edge movement