Time series prediction stands at the forefront of the fourth industrial revolution (Industry 4.0),
offering a crucial analytical tool for the vast data streams generated by modern industrial …

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 …

This study examined the efficacy of artificial intelligence (AI) technologies in predictive risk
assessment and their contribution to ensuring business continuity. This research aimed to …

The accelerated development of smart manufacturing is taking place all over the world, but
the definition of the theoretical foundations of its stimulation, as well as the unequivocal …

Прискорений розвиток смарт-промисловості відбувається в усьому світі, але
визначення теоретичних засад її стимулювання, як і однозначне розуміння самого …

This review provides a structured literature analysis of Artificial Intelligence (AI) applications
in enhancing manufacturing resilience. The research is guided by three primary questions …

This study examined the efficacy of artificial intelligence (AI) technologies in predictive risk
assessment and their contribution to ensuring business continuity. This research aimed to …

Sensor data is an integral component of internet of things (IoT) and edge computing
environments and initiatives. In IoT, almost any entity imaginable can be outfitted with a …

Developing Internet of Things (IoT) sensor networks across various use cases calls for
effective failure detection and recovery systems. This research uses the Isolation Forest …

In the domain of robotics and automation, the accurate supervision of key parameters is
essential to ensure the safe and efficient operation of various systems. This paper presents a …