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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
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
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
A General Scaling Law of Vascular Tree: Optimal Principle of Bifurcations in Pulsatile Flow
A General Scaling Law of Vascular Tree: Optimal Principle of Bifurcations in Pulsatile Flow
A General Scaling Law of Vascular Tree: Optimal Principle of Bifurcations in Pulsatile Flow
Numerical simulation of electroosmotic flow in a rectangular microchannel with use of magnetic and electric fields
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
Three-dimensional wake transition of rectangular cylinders and temporal prediction of flow patterns based on a machine learning algorithm