New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes: Volume II

• Published in: Applied sciences Vol. 12; no. 15; p. 7952
• Main Authors: López de Lacalle, Luis Norberto, Posada, Jorge
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2022
• Subjects: Artificial intelligence; Augmented reality; Automation; Big Data; Conflicts of interest; Data analysis; Decision making; Deep learning; Digital twins; Factories; Flexibility; Industry 4.0; Internet of Things; Lasers; Machine learning; Manufacturing; n/a; Optimization; Productivity; Simulation; Software; Visualization; Workers
• ISSN: 2076-3417; 2076-3417
• DOI: 10.3390/app12157952

The second volume of the Special Issue New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes is now closed with 17 interesting research contributions and 1 review. Two years since the previous Special Issue, industrial factories have been experiencing a rapid digital transformation because of the introduction of emerging ICT technologies, such as the industrial Internet of things (IIOT), industrial big data and cloud technologies, deep learning and deep analytics, artificial intelligence, intelligent robotics, cyber–physical systems, digital twins and visual computing (including augmented reality, visual analytics, cognitive computer vision, and new HMI interfaces and simulation and computer graphics), among others. In the current machine tools and systems, there are complex sensors that are able to gather useful information, which can be captured, stored, and processed with edge, fog, or cloud computing technologies. Tran, L.V.; Huynh, B.H.; Akhtar, H. Ant Colony Optimization Algorithm for Maintenance, Repair and Overhaul Scheduling Optimization in the Context of Industrie 4.0.