Engineering and TechnologyOeconomia Copernicana
Artificial intelligence-based predictive maintenance, time-sensitive networking, and big data-driven algorithmic decision-making in the economics of Industrial Internet of Things
T. Kliestik, E. Nica, et al.
Explore how Artificial Intelligence transforms predictive maintenance in Industrial Internet of Things settings, improving efficiency by analyzing sensor and IIoT data to build predictive models. The study demonstrates practical AI implementations and their industrial impact. This research was conducted by Tomas Kliestik, Elvira Nica, Pavol Durana, and Gheorghe H. Popescu.
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