With the progress of the eras and the development of science and technology, the
requirements of device-to-device (D2D) connectivity increased rapidly. As one important …

Various industries like chemical, energy, nuclear, process, manufacturing, healthcare, and
agriculture require the flow rate to be controlled. It may be constant, steady state, or between …

Monitoring and classifying cognitive workload in real time is vital for optimizing human–
machine interactions and enhancing performance while ensuring safety, particularly in …

This full paper of the research category describes the ERPLab as an innovative educational
platform that aims to promote inclusivity and diversity in programming and robotics. It …

The problems of automating production processes using the intelligent analysis of big data
were discussed in the paper. Existing methods of processing information from various …

One of the significant challenges in Industry 4.0 is delivering secure data management
during pre-and post-production. Furthermore, surveillance in restricted areas is also crucial …

This research advances Industry 4.0 by optimizing IoT ontology models, crucial for
enhancing industrial automation's efficiency and adaptability. Employing a mixed-methods …

Abstract (EN) Factories are evolving into Cyber-Physical Production Systems, producing
vast data volumes that can be leveraged using computational power. However, an easy and …