Technological Innovation For Ai Powered Cyber Physical Systems
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Technological Innovation for AI-Powered Cyber-Physical Systems
Author: Luis M. Camarinha-Matos
language: en
Publisher: Springer Nature
Release Date: 2025-06-26
This book constitutes the refereed proceedings of the 16th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems on Technological Innovation for AI-Powered Cyber-Physical Systems, DoCEIS 2025, held in Lisbon, Portugal, during July 2–4, 2025. The 29 full papers presented were carefully reviewed and selected from 60 submissions. They were focused on topical sections as follows: AI in Business Applications; AI in Industry 4.0; Smart Systems in Sustainable Development; AI-Powered Healthcare; AI in Systems, Decision & Control; Intelligent Sensing & Communication Systems; Smart Power Systems; Electronic Systems.
AI-Driven IoT Systems for Industry 4.0
The purpose of this book is to discuss the trends and key drivers of Internet of Things (IoT) and artificial intelligence (AI) for automation in Industry 4.0. IoT and AI are transforming the industry thus accelerating efficiency and forging a more reliable automated enterprise. AI-driven IoT systems for Industry 4.0 explore current research to be carried out in the cutting-edge areas of AI for advanced analytics, integration of industrial IoT (IIoT) solutions and Edge components, automation in cyber-physical systems, world leading Industry 4.0 frameworks and adaptive supply chains, etc. A thorough exploration of Industry 4.0 is provided, focusing on the challenges of digital transformation and automation. It covers digital connectivity, sensors, and the integration of intelligent thinking and data science. Emphasizing the significance of AI, the chapter delves into optimal decision-making in Industry 4.0. It extensively examines automation and hybrid edge computing architecture, highlighting their applications. The narrative then shifts to IIoT and edge AI, exploring their convergence and the use of edge AI for visual insights in smart factories. The book concludes by discussing the role of AI in constructing digital twins, speeding up product development lifecycles, and offering insights for decision-making in smart factories. Throughout, the emphasis remains on the transformative impact of deep learning and AI in automating and accelerating manufacturing processes within the context of Industry 4.0. This book is intended for undergraduates, postgraduates, academicians, researchers, and industry professionals in industrial and computer engineering.
Innovations in Mechatronics Engineering III
This book reports on innovations and engineering achievements of industrial relevance, with a special emphasis on developments in mechatronics, control engineering and signal processing. It gathers peer-reviewed papers presented at the 3rd International Conference “Innovation in Engineering”, ICIE 2024, held on June 26-28, 2024, in Povoação, São Miguel Island, Azores, Portugal. It covers advances in automated detection and monitoring systems, industrial applications of machine learning and artificial neural networks, and industrial robots, among other topics. This second volume of a three-volume set, provides engineering researchers and professionals with a timely snapshot of technologies and strategies that should help improve production efficiency, industrial sustainability, and human well-being.