Aditya University

A hybrid deep reinforcement learning framework for proactive cloud network intrusion detection using spatiotemporal feature learning

Traditional signature-based and static machine-learning-based intrusion detection systems (IDSs) have limited ability to adapt to changing traffic characteristics, and dynamic cloud-based infrastructures are increasingly vulnerable to new and zero-day attacks. Given this drawback...

Four-port triple notched wide-band MIMO antenna and verification by theory of characteristics mode for multiple applications

Abstract This paper presents a compact four-port multiple-input-multiple-output (MIMO) antenna featuring a triple notched-band characteristic for wideband, multiple applications. The single-element antenna is systematically developed and analyzed using the Theory of Characteristi...

Hydrogen-assisted combustion of GQD–DEE-enhanced WCO biodiesel in a dual-fuel CI engine

Abstract The relatively low performance and elevated nitrogen oxide (NOx) emissions associated with biodiesel-fueled compression ignition (CI) engines continue to limit their widespread application. To address these challenges, the present study investigates the combined influenc...