This systematic literature review synthesises the literature on human centric IN 4.0 and IN
5.0 while exploring driving forces behind the transition from technocentric IN 4.0 to value …

Creating machines that behave and work in a way similar to humans is the objective of
artificial intelligence (AI). In addition to pattern recognition, planning, and problem-solving …

Simulating the behavior of operators through a digital human model (DHM) is an intuitive
way to reflect the human factors in the assembly process, which is important for ergonomics …

Managing the quality of products is one of the primary concerns in manufacturing production
to obtain better operational efficiency in factories. In recent years, there have been …

In line with the human centricity characteristics of the emerging Industry 5.0 paradigm,
manual assembly has long been an indispensable element of the small-batch and …

In the context of intelligent manufacturing and Industry 4.0, the manufacturing industry is
rapidly transitioning toward mass personalization production. Despite this trend, the …

Steel is an important raw material of fluid components. The technological level limitation
leads to the surface faults of the steel, thus the key to improving fluid components quality is …

The rise of Industry 4.0 and the emerging paradigm of Industry 5.0 have driven
unprecedented technological progress in various fields. Central to this transformation are …

With the increase in wind power generation, wind turbine blades require regular inspections
to ensure they continue to operate safely. You only look once (YOLO) is one of the most …

This review systematically examines the progression of the You Only Look Once (YOLO)
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …