In the rapidly evolving landscape of cybersecurity, Advanced Persistent Threats (APTs)
present a formidable challenge to organizations worldwide. These sophisticated, long-term …

This paper provides an in-depth examination of the latest machine learning (ML)
methodologies applied to the detection and mitigation of zero-day exploits, which represent …

Transport electrification is a trend research topic and one of the biggest nowadays
challenges. This paper discusses intelligent hybrid electric vehicle (HEV) control using direct …

In the quest for sustainable energy solutions, the integration of Artificial Intelligence (AI) and
cybersecurity within renewable energy systems, particularly microgrids, is increasingly …

Renewable energy resources (RES) are acquiring popularity in many industrial applications
due to their non-depletion and clean qualities. Despite their numerous advantages, RES …

In an era marked by the unprecedented proliferation of cybersecurity threats, conventional
malware detection paradigms characterized by signature-based and heuristic …

Abstract Ensemble Stacking Generalization has emerged as a viable method for forecasting
Electric Vehicle (EV) charging behaviour. This method uses a variety of machine learning …

Nowadays, Multilevel inverters have received a lot of interest from researchers. In this paper,
a unique architecture for a 7-level inverter with just six adjustable switches is presented. The …

In the dynamic domain of cybersecurity, zero-day exploits represent a critical and persistent
challenge to digital security for both individuals and organizations. These exploits exploit …

Within a universe in which concerns about petroleum resources depletion and ecological
issues are increasing, the technological evolution of electric mobility has quickened to …