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Artificial Intelligence in Manufacturing

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Cover of 'Artificial Intelligence in Manufacturing'

Table of Contents

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    Book Overview
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    Chapter 1 Reference Architecture for AI-Based Industry 5.0 Applications
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    Chapter 2 Designing a Marketplace to Exchange AI Models for Industry 5.0
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    Chapter 3 Human-AI Interaction for Semantic Knowledge Enrichment of AI Model Output
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    Chapter 4 Examining the Adoption of Knowledge Graphs in the Manufacturing Industry: A Comprehensive Review
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    Chapter 5 Leveraging Semantic Representations via Knowledge Graph Embeddings
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    Chapter 6 Architecture of a Software Platform for Affordable Artificial Intelligence in Manufacturing
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    Chapter 7 Multisided Business Model for Platform Offering AI Services
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    Chapter 8 Self-Reconfiguration for Smart Manufacturing Based on Artificial Intelligence: A Review and Case Study
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    Chapter 9 Digital-Twin-Enabled Framework for Training and Deploying AI Agents for Production Scheduling
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    Chapter 10 A Manufacturing Digital Twin Framework
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    Chapter 11 Reinforcement Learning-Based Approaches in Manufacturing Environments
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    Chapter 12 A Participatory Modelling Approach to Agents in Industry Using AAS
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    Chapter 13 I4.0 Holonic Multi-agent Testbed Enabling Shared Production
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    Chapter 14 A Multi-intelligent Agent Solution in the Automotive Component–Manufacturing Industry
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    Chapter 15 Integrating Knowledge into Conversational Agents for Worker Upskilling
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    Chapter 16 Advancing Networked Production Through Decentralised Technical Intelligence
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    Chapter 17 Wearable Sensor-Based Human Activity Recognition for Worker Safety in Manufacturing Line
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    Chapter 18 Object Detection for Human–Robot Interaction and Worker Assistance Systems
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    Chapter 19 Boosting AutoML and XAI in Manufacturing: AI Model Generation Framework
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    Chapter 20 Anomaly Detection in Manufacturing
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    Chapter 21 Towards Industry 5.0 by Incorporation of Trustworthy and Human-Centric Approaches
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    Chapter 22 Human in the AI Loop via xAI and Active Learning for Visual Inspection
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    Chapter 23 Multi-Stakeholder Perspective on Human-AI Collaboration in Industry 5.0
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    Chapter 24 Holistic Production Overview: Using XAI for Production Optimization
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    Chapter 25 XAI for Product Demand Planning: Models, Experiences, and Lessons Learnt
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    Chapter 26 Process and Product Quality Optimization with Explainable Artificial Intelligence
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    Chapter 27 Toward Explainable Metrology 4.0: Utilizing Explainable AI to Predict the Pointwise Accuracy of Laser Scanning Devices in Industrial Manufacturing
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Title
Artificial Intelligence in Manufacturing
Published by
Springer Nature Switzerland, January 2024
DOI 10.1007/978-3-031-46452-2
ISBNs
978-3-03-146451-5, 978-3-03-146452-2
Editors

Soldatos, John

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