Many industry sectors have been pursuing the adoption of Industry 4.0 (I4. 0) ideas and
technologies, which promise to realize lean and just-in-time production through digitization …

The production of food is highly complex due to the various chemo-physical and biological
processes that must be controlled for transforming ingredients into final products. Further …

This paper presents the best computational modeling (AI/ML and Quantum Computing)
methods to predict the performance optimization of predictive maintenance and …

Thermally induced error has proven to be the major source of machining error for the
machine tool working in a non-temperature-controlled workshop. Current research on …

The dynamic development of new technologies enables the optimal computer technique
choice to improve the required quality in today's manufacturing industries. One of the …

Industry 4.0 is strongly intertwined with big data streaming flows from intelligent sensors and
machinery installed in industrial facilities. Failures can disrupt production and lead the …

Background: The increasing population of humans, changing food consumption behavior,
as well as the recent developments in the awareness for food sustainability, lead to new …

Predictive maintenance strategies are becoming increasingly more important with the
increased needs for automation and digitalization within pulp and paper manufacturing …

Anomaly detection is critical in the smart industry for preventing equipment failure, reducing
downtime, and improving safety. Internet of Things (IoT) has enabled the collection of large …

Turbo machines develop faults in the rotating blades during operation in undesirable
conditions. Such faults in the rotating blades are fatigue cracks, mechanical looseness …