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Artificial Intelligence and Industrial Applications : Smart Operation Management / edited by Tawfik Masrour, Ibtissam El Hassani, Noureddine Barka.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2023 Available online

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Format:
Book
Contributor:
Masrour, Tawfik, editor.
El Hassani, Ibtissam, editor.
Barka, Noureddine, editor.
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 771
Language:
English
Subjects (All):
Computational intelligence.
Cooperating objects (Computer systems).
Artificial intelligence.
Computational Intelligence.
Cyber-Physical Systems.
Artificial Intelligence.
Local Subjects:
Computational Intelligence.
Cyber-Physical Systems.
Artificial Intelligence.
Physical Description:
1 online resource (XVIII, 300 p. 139 illus., 112 illus. in color.)
Edition:
1st ed. 2023.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Summary:
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.
Contents:
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.
Notes:
Includes bibliographical references and index.
ISBN:
3-031-43524-9

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