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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
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
Experimental Investigation and Optimization of the Penetration Rate of Large-Scale DTH Drilling in Copper Mines
3D Printed Elastomers with Superior Stretchability and Mechanical Integrity by Parametric Optimization of Extrusion Process using Taguchi Method
Single-atom catalysts (SACs) for CO <sub>2</sub> to CO conversion using Cu, Ni, and Co on graphene flakes support; a DFT study
Numerical simulation of electroosmotic flow in a rectangular microchannel with use of magnetic and electric fields
Trajectory Tracking of a Quadrotor Using Model Predictive and Backstepping Control with Anti-disturbance Compensation Subjected to Variations in Center of Gravity
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
A deep learning-genetic algorithm approach for aerodynamic inverse design via optimization of pressure distribution