The Intrusion Detection System (IDS) is an effective tool utilized in cybersecurity systems to
detect and identify intrusion attacks. With the increasing volume of data generation, the …

The internet of things (IoT) has emerged as a pivotal technological paradigm facilitating
interconnected and intelligent devices across multifarious domains. The proliferation of IoT …

In this paper, a resonant converter model is proposed that takes into account the thermal
and electrical dynamics of the main components. With respect to state‐of‐art, where model …

Catalyzed by the increasing interest in bi-directional electric vehicles, this paper delves into
their significance and the challenges they encounter. Bi-directional electric vehicles not only …

Lithium-ion batteries have revolutionized the portable and stationary energy industry and
are finding widespread application in sectors such as automotive, consumer electronics …

The increasing prevalence of the Industrial Internet of Things (IIoT) in industrial
environments amplifies the potential for security breaches and compromises. To monitor IIoT …

Machine Learning is widely used in cybersecurity for detecting network intrusions. Though
network attacks are increasing steadily, the percentage of such attacks to actual network …

This research introduces a model-based approach for the analysis and control of an
onboard charger (OBC) system for contemporary electrified vehicles. The primary objective …

The article describes an innovative methodology for the design and experimental validation
of monitoring and anomaly detection algorithms, with a particular focus on the aging …

This paper presents a new Edge-AI algorithm for real-time and multi-feature (social
distancing, mask detection, and facial temperature) measurement to minimize the spread of …