Recently, with the emergence of Industry 4.0 (I4. 0), smart systems, machine learning (ML)
within artificial intelligence (AI), predictive maintenance (PdM) approaches have been …

In recent years, the fourth industrial revolution has attracted attention worldwide. Several
concepts were born in conjunction with this new revolution, such as predictive maintenance …

Machine learning is an established and frequently used technique in industry and
academia, but a standard process model to improve success and efficiency of machine …

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 …

Predictive maintenance is a field of study whose main objective is to optimize the timing and
type of maintenance to perform on various industrial systems. This aim involves maximizing …

Urban mobility plays a key role in the ecosystems of complex smart cities. It is considered a
key factor in enabling cities to become more intelligent, which highlights the importance of …

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

This article addresses the evolution of Industry 4.0 (I4. 0) in the automotive industry,
exploring its contribution to a shift in the maintenance paradigm. To this end, we firstly …

Urbanisation is leading to a concentration of growing city populations that contribute
significantly to economic growth, while becoming epicentres of waste generation …

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