Ever since the emergence of Industry 4.0 as the synonymous term for the fourth industrial
revolution, its applications have been widely discussed and used in many business …

Healthcare systems worldwide have been struggling since the beginning of the COVID-19
pandemic. The early diagnosis of this unprecedented infection has become their ultimate …

Recognizing human actions is crucial for an effective and safe collaboration between
humans and robots. For example, in a collaborative assembly task, human workers can use …

The automated assessment and analysis of employee activity in a manufacturing enterprise,
operating in accordance with the concept of Industry 4.0, is essential for a quick and precise …

Advanced production systems, such as multi-step assembly processes, predominantly
comprise of repetitive operations. The repetitive manual or human–robot integrated …

Assembly activity recognition and prediction help to improve productivity, quality control, and
safety measures in smart factories. This study aims to sense, recognize, and predict a …

Advances in information and signal processing, driven by artificial intelligence techniques
and recent breakthroughs in deep learning, have significantly impacted autonomous driving …

Molds are still assembled manually because of frequent demand changes and the
requirement for comprehensive knowledge related to their high flexibility and adaptability in …

Intelligent manufacturing is used to build up adaptable and versatile assembling activities
locally or internationally by utilizing the incorporated ICT and AI that can consolidate …

Modern manufacturing faces significant challenges, including efficiency bottlenecks and
high error rates in manual assembly operations. To address these challenges, we …