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A supplementary controller to mitigate damped oscillations in power systems' components based on the internal model principle
In-situ incorporation of polydopamine surface modified bioactive glass nanoparticles into a plasma electrolytic oxidation coating on biodegradable AZ31 Mg alloy: A study of bioactivity and corrosion performance
In-situ incorporation of polydopamine surface modified bioactive glass nanoparticles into a plasma electrolytic oxidation coating on biodegradable AZ31 Mg alloy: A study of bioactivity and corrosion performance
Investigation study of methyl violet photodegradation over alginate-carboxymethyl cellulose/titanium(IV) oxide/covalent organic frameworks bio-nanocomposite beads under ultraviolet irradiation
A Resilience Enhancement Planning Framework Capturing Customers' Participation in Distribution Systems
Using the route planning for supplying spare parts to reduce distribution costs: a case study in a roadside assistance company
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
Development of an Innovative Flywheel-Based Brake Energy Recovery System for Enhanced Urban Fuel Efficiency in Passenger Cars
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
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