This paper provides an extensive and complete survey on the process of detecting and
preventing various types of IoT‐based security attacks. It is designed for software …

The role of energy is cardinal for achieving the Sustainable Development Goals (SDGs)
through the enhancement and modernization of energy generation and management …

Leadership competencies are of crucial importance in every organisation as to a large
extent they determine its success. This is especially evident in the time of Industry 4.0. Given …

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 …

With the emergence of the Internet-of-Things (IoT), artificial intelligence, and communication
technologies, cyber-physical systems (CPS) have revolutionized the engineering paradigm …

Defining smart city pillars, and their nature and essence, continues to be debated in the
scientific literature. The vast amount of information collected by electronic devices, often …

Technological advancements in smart grid energy systems (SGESs) are introducing
sustainable frameworks to meet the demand for the fourth industrial energy revolution …

Low‐cost monitoring and automation solutions for smart grids have been made viable by
recent advancements in embedded systems and wireless sensor networks (WSNs). A well …

False data injection (FDI) attacks regularly target smart grids. It is impossible to detect FDI
attacks using current bad data detection methods. Machine learning is one method for …

The Proposal for an Artificial Intelligence Act, published by the European Commission in
April 2021, marks a major step in the governance of artificial intelligence (AI). This paper …