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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
Experimental Investigation and Optimization of the Penetration Rate of Large-Scale DTH Drilling in Copper Mines
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
Coordinated Unbalance Compensation and Harmonic Mitigation in the Secondary Distribution Network Through EVs Participation
CWBCM method to determine the importance of classification performance evaluation criteria in machine learning: Case studies of COVID-19, Diabetes, and Thyroid Disease
Non-invasive temporal interference brain stimulation reduces preference on morphine-induced conditioned place preference in rats
Non-invasive temporal interference brain stimulation reduces preference on morphine-induced conditioned place preference in rats
Neuromodulation effect of temporal interference stimulation based on network computational model
Neuromodulation effect of temporal interference stimulation based on network computational model
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
Synthesis of BaAl2O4: Eu2+/Li+ co-doped spinel: study of crystal structure, microstructure, and photoluminescence characteristics