Artificial Intelligence and Industrial Applications

Amid the dynamic growth of artificial intelligence, this book presents a collection of findings and advancements from the second edition of the A2IA-Artificial Intelligence and Industrial Applications conference. The conference, hosted by ENSAM-Meknès at Moulay Ismail University, Morocco, fosters knowledge exchange in AI, focusing primarily on its industrial applications. Covering a wide range of topics, the book highlights the adaptable nature of AI and its increasing impact on industrial sectors. It brings together contributions from an international cohort of researchers, discussing themes such as intelligent manufacturing and maintenance, intelligent supply chain management, various modes of learning including supervised, unsupervised, reinforcement, semi-supervised, and graph-based, as well as neural networks, deep learning, planning, and optimization. A defining feature of this edition is its extensive scope and emphasis on the practical applications of AI, along with its foundational elements. It facilitates an understanding of AI's current state and potential future direction, showcasing recent developments that bridge the gap between theory and practice.

Designed for a diverse readership, this book is of interest to AI practitioners, academics, and enthusiasts, as well as to those new to the field. It provides an opportunity to explore AI's critical role in industrial applications, and the practical insights it offers are likely to be beneficial for decision-making within industrial settings.

Covers recent research on artificial intelligence techniques for cyber-physical and digital twin systems Includes the proceedings of the Artificial Intelligence & Industrial Applications (A2IA2023) Written by experts in the field

Inhalt
Detecting Anomalies: A Case Study in Predictive Maintenance of Telescopes.- AI Case-Based Reasoning for Artificial Neural Networks.- Real-Time KPI Forecasting with 1D Convolutional Time Series for Enhanced Manufacturing Efficiency.- Blockchain Technology for Supply Chain Traceability: Case Study of Pharmaceutical Supply Chain.- Artificial Intelligence for Work Measurement: A Promising Approach to Improving Productivity and Reducing Waste.- Lean Six Sigma and Industry 4.0 Integration: LSS 4.0.