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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
A Resilience Enhancement Planning Framework Capturing Customers' Participation in Distribution Systems
Reliability analysis and optimal replacement for a k-out-of-n system with various components subject to shocks
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