Human-centricity, a core value of Industry 5.0, places humans in the center of production. It
leads to the prioritization of human needs, spanning from health and safety to self …

The paradigm of Industry 5.0 pushes the transition from the traditional to a novel, smart,
digital, and connected industry, where well-being is key to enhance productivity, optimize …

Class imbalance is a key issue affecting the performance of computer vision applications
such as medical image analysis, objection detection and recognition, image segmentation …

In the context of Industry 5.0, characterized by the human-centred transformation of
manufacturing processes, assessing operator risk is crucial for ensuring workplace safety …

In the pursuit of enhanced productivity, reduced costs, and minimized lead times,
manufacturers are transitioning from traditional systems to autonomous systems. This shift …

The role of Artificial intelligence in achieving high performance in manufacturing systems
has been explored over the years. However, with the increasing number of variants in the …

Wearables offer a promising solution for simultaneous posture monitoring and/or corrective
feedback. The main objective was to identify, synthesise, and characterise the wearables …

As pivotal supporting technologies for smart manufacturing and digital engineering, model-
based and data-driven methods have been widely applied in many industrial fields, such as …

This study contributes to understanding semi-automated ergonomic risk assessments in
industrial manufacturing environments, proposing a practical tool for enhancing worker …

Despite technological progress and the tendency for automation, the majority of
manufacturing workplaces still rely on human labor. Although industrial tasks are frequently …