Deep neural networks for spatial-temporal cyber-physical systems: A survey
Cyber-physical systems (CPS) refer to systems that integrate communication, control, and
computational elements into physical processes to facilitate the control of physical systems …
computational elements into physical processes to facilitate the control of physical systems …
[HTML][HTML] Machine learning applications on IoT data in manufacturing operations and their interpretability implications: A systematic literature review
A Presciuttini, A Cantini, F Costa… - Journal of Manufacturing …, 2024 - Elsevier
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 …
operations and effective analysis is crucial to unlock the full potential of Internet-of-Things …
Information flow-based fuzzy cognitive maps with enhanced interpretability
M Tyrovolas, XS Liang, C Stylios - Granular Computing, 2023 - Springer
Abstract Fuzzy Cognitive Maps (FCMs) are a graph-based methodology successfully
applied for knowledge representation of complex systems modelled through an interactive …
applied for knowledge representation of complex systems modelled through an interactive …
A comprehensive study of various regressions and deep learning approaches for the prediction of friction factor in mobile bed channels
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 …
friction factor (λ), which represents the head loss because of hydraulic resistance. The …
[HTML][HTML] A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data
Abstract Predictive Maintenance (PdM) methods aim to facilitate the scheduling of
maintenance work before equipment failure. In this context, detecting early faults in …
maintenance work before equipment failure. In this context, detecting early faults in …
Explainable Artificial Intelligence Model for Predictive Maintenance in Smart Agricultural Facilities
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 …
hindering farmers from taking full advantage of their capabilities. This study tackles this gap …
Applications of IoT and Advanced Analytics for manufacturing operations: a systematic literature review
A Presciuttini, A Portioli-Staudacher - Procedia Computer Science, 2024 - Elsevier
IoT is driving the digital transformation of companies into smart factories: data collected
through IoT technologies can provide powerful support to manufacturing operations …
through IoT technologies can provide powerful support to manufacturing operations …
PreM-FedIoV: A Novel Federated Reinforcement Learning Framework for Predictive Maintenance in IoV
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 …
driving the automotive industry towards data-driven Predictive Maintenance (PreM) models …
Artificial Intelligence for Predictive Maintenance Applications: Key Components, Trustworthiness, and Future Trends
A Ucar, M Karakose, N Kırımça - Applied Sciences, 2024 - mdpi.com
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 …
the components in a real system has been destroyed, and some anomalies appear so that …
Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities
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 …
of a mechanical system by using artificial intelligence and machine learning to predict the …