Cyber-physical systems (CPS) refer to systems that integrate communication, control, and
computational elements into physical processes to facilitate the control of physical systems …

Industry 4.0 has transformed manufacturing with real-time plant data collection across
operations and effective analysis is crucial to unlock the full potential of Internet-of-Things …

Abstract Fuzzy Cognitive Maps (FCMs) are a graph-based methodology successfully
applied for knowledge representation of complex systems modelled through an interactive …

A fundamental issue in the hydraulics of movable bed channels is the measurement of
friction factor (λ), which represents the head loss because of hydraulic resistance. The …

Abstract Predictive Maintenance (PdM) methods aim to facilitate the scheduling of
maintenance work before equipment failure. In this context, detecting early faults in …

Artificial Intelligence (AI) in Smart Agricultural Facilities (SAF) often lacks explainability,
hindering farmers from taking full advantage of their capabilities. This study tackles this gap …

IoT is driving the digital transformation of companies into smart factories: data collected
through IoT technologies can provide powerful support to manufacturing operations …

The Internet of Vehicles (IoV) enhances data availability by equipping a plethora of sensors,
driving the automotive industry towards data-driven Predictive Maintenance (PreM) models …

Predictive maintenance (PdM) is a policy applying data and analytics to predict when one of
the components in a real system has been destroyed, and some anomalies appear so that …

Predictive maintenance is a well studied collection of techniques that aims to prolong the life
of a mechanical system by using artificial intelligence and machine learning to predict the …