The use of machine learning and data-driven methods for predictive analysis of power
systems offers the potential to accurately predict and manage the behavior of these systems …

Electricity is one of the mandatory commodities for mankind today. To address challenges
and issues in the transmission of electricity through the traditional grid, the concepts of smart …

Intrusion detection is a critical aspect of network security to protect computer systems from
unauthorized access and attacks. The capacity of traditional intrusion detection systems …

This paper provides a comprehensive survey of the state-of-the-art use of Artificial
Intelligence (AI) and Machine Learning (ML) in the field of cybersecurity. The paper …

Energy demand is increasing rapidly due to rapid growth and industrialization. It is
becoming more and more complex to manage generation and distribution due to the …

The smart grid (SG) is an advanced cyber-physical system (CPS) that integrates power grid
infrastructure with information and communication technologies (ICT). This integration …

Knowledge-Defined Networking (KDN) necessarily consists of a knowledge plane for the
generation of knowledge, typically using machine learning techniques, and the …

Purpose This study investigates the impact of activity-based learning and the utilization of
ChatGPT on students' academic performance within the educational framework. Objectives …

The smart grid relies on Advanced Metering Infrastructure (AMI) to function. Because of the
significant packet loss and slow transmission rate of the wireless connection between smart …

Energy efficiency and safety are two essential factors that play a significant role in operating
a wireless sensor network. However, it is claimed that these two factors are naturally …