This book includes research papers presented at the International Conference on AI and Concurrent Engineering (AICE 2025) to be held at IIMT, Bhubaneswar, India, during August 23 – 24, 2025. The proceedings documents how AI systems analyse vast datasets, predict outcomes, and offer strategic insights by leveraging both historical and real-time information. The proceedings also explores how AI-driven predictive maintenance and quality control are transforming post-production processes.
This book includes research papers presented at the International Conference on AI and Concurrent Engineering (AICE 2025) to be held at IIMT, Bhubaneswar, India, during August 23 – 24, 2025. The proceedings documents how AI systems analyse vast datasets, predict outcomes, and offer strategic insights by leveraging both historical and real-time information. The proceedings also explores how AI-driven predictive maintenance and quality control are transforming post-production processes.
Kazumi Nakamatsu
Industry 4.0 Artificial Intelligence (AI) Machine Learning (ML) Robotics and Automation Big Data Analytics Smart Manufacturing Cyber-Physical Systems Internet of Things (IoT) AICE 2025 Proceedings