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Reliability analysis and optimal replacement for a k-out-of-n system with various components subject to shocks
Adaptive robust self-scheduling for a wind-based GenCo equipped with power-to-gas system and gas turbine to participate in electricity and natural gas markets
On the reliability and the optimal replacement policy of a k-out-of-n system in a discrete shock model
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
Development of an Innovative Flywheel-Based Brake Energy Recovery System for Enhanced Urban Fuel Efficiency in Passenger Cars
CWBCM method to determine the importance of classification performance evaluation criteria in machine learning: Case studies of COVID-19, Diabetes, and Thyroid Disease
Accelerating optimal scheduling prediction in power system: A multi-faceted GAN-assisted prediction framework
Accelerating optimal scheduling prediction in power system: A multi-faceted GAN-assisted prediction framework
Mixed-convection flow and heat transfer in a square enclosure around a rotating hot cylinder immersed in a Phan-Thien-Tanner viscoelastic fluid
A deep learning-genetic algorithm approach for aerodynamic inverse design via optimization of pressure distribution
Changes in the equilibrium of the urban transport system of a large city following an urban flood
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