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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
Improved electron transport in planar perovskite solar cells using TiO2, SnO2 and WO3 ultra-thin layers: a comparison on all single layer and bilayer structures
Development of seismic fragility curves for RC/MR frames using machine learning methods
Knock probability determination employing convolutional neural network and IGTD algorithm