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  1. Towards Industry 5.0 by Incorporation of Trustworthy and Human-Centric Approaches

    The industrial sector has been a major adopter of new technologies for decades, driving economic and societal progress. The path by which industry...
    Eduardo Vyhmeister, Gabriel Gonzalez Castane in Artificial Intelligence in Manufacturing
    Chapter Open access 2024
  2. Advancing Networked Production Through Decentralised Technical Intelligence

    In today’s competitive landscape, networked production plays a crucial role in enabling companies to create value and remain competitive. By...
    Stefan Walter, Markku Mikkola in Artificial Intelligence in Manufacturing
    Chapter Open access 2024
  3. Leveraging Semantic Representations via Knowledge Graph Embeddings

    The representation and exploitation of semantics has been gaining popularity in recent research, as exemplified by the uptake of large language...
    Franz Krause, Kabul Kurniawan, ... Bernhard Moser in Artificial Intelligence in Manufacturing
    Chapter Open access 2024
  4. A Participatory Modelling Approach to Agents in Industry Using AAS

    To develop interoperable and flexible systems, Industry 4.0 solutions need available models and standardization. There is not just a need for...
    Nikoletta Nikolova, Cornelis Bouter, ... Robert Wilterdink in Artificial Intelligence in Manufacturing
    Chapter Open access 2024
  5. Reinforcement Learning-Based Approaches in Manufacturing Environments

    The application of reinforcement learning often faces limitations due to the exploration phase, which can be costly and risky in various contexts....
    Andrea Fernández Martínez, Carlos González-Val, ... Santiago Muiños-Landin in Artificial Intelligence in Manufacturing
    Chapter Open access 2024
  6. Anomaly Detection in Manufacturing

    This chapter provides an introduction to common methods of anomaly detection, which is an important aspect of quality control in manufacturing. We...
    Jona Scholz, Maike Holtkemper, ... Christian Beecks in Artificial Intelligence in Manufacturing
    Chapter Open access 2024
  7. XAI for Product Demand Planning: Models, Experiences, and Lessons Learnt

    Today, Explainable AI is gaining more and more traction due to its inherent added value to allow all involved stakeholders to understand why/how a...
    Fenareti Lampathaki, Enrica Bosani, ... Andrea Capaccioli in Artificial Intelligence in Manufacturing
    Chapter Open access 2024
  8. Object Detection for Human–Robot Interaction and Worker Assistance Systems

    The primary goal of this research is to describe the scenarios, challenges, and complexities associated with object detection in industrial...
    Hooman Tavakoli, Sungho Suh, ... Martin Ruskowski in Artificial Intelligence in Manufacturing
    Chapter Open access 2024
  9. Human-AI Interaction for Semantic Knowledge Enrichment of AI Model Output

    Modern manufacturing requires develo** a framework of AI solutions that capture and process data from various sources including from human-AI...
    Sisay Adugna Chala, Alexander Graß in Artificial Intelligence in Manufacturing
    Chapter Open access 2024
  10. Integrating Knowledge into Conversational Agents for Worker Upskilling

    The labor market is a key part of an economy. Several existing online platforms allow the upload of resumes and the search for a job. One of their...
    Rubén Alonso, Danilo Dessí, ... Reforgiato Recupero Diego in Artificial Intelligence in Manufacturing
    Chapter Open access 2024
  11. Human in the AI Loop via xAI and Active Learning for Visual Inspection

    Industrial revolutions have historically disrupted manufacturing by introducing automation into production. Increasing automation reshapes the role...
    Jože M. Rožanec, Elias Montini, ... Christos Emmanouilidis in Artificial Intelligence in Manufacturing
    Chapter Open access 2024
  12. Examining the Adoption of Knowledge Graphs in the Manufacturing Industry: A Comprehensive Review

    The integration of Knowledge Graphs (KGs) in the manufacturing industry can significantly enhance the efficiency and flexibility of production lines...
    Jorge Martinez-Gil, Thomas Hoch, ... Franz Krause in Artificial Intelligence in Manufacturing
    Chapter Open access 2024
  13. Smart Contract: The Contract Automation Climax. Back-End and Front-End Legal Implications

    Smart Contracts are a core part of blockchain technology use cases and usability. Even if they are essentially simply pieces of code, thanks to the...
    Chapter 2024
  14. A Taxonomy on Blockchain-Based Technology in the Financial Industry: Drivers, Applications, Benefits, and Threats

    Blockchain technology, renowned for its decentralization capabilities, has led to numerous innovations across various sectors. One of the most...
    Chapter 2024
  15. Scientific Workflows Management with Blockchain: A Survey

    In science, a key requirement for conducting a scientific experiment is that it must be reproducible, meaning that a different team should be able to...
    Chapter 2024
  16. Prediction of Failure in Scania Truck Due to Air Pressure System Failure

    This paper addresses the prediction of failures in the air pressure system of Scania trucks to minimize associated operating costs. A custom ensemble...
    Prasoon Singh, Lalatendu Behera in Distributed Computing and Intelligent Technology
    Conference paper 2024
  17. Coverage Criteria Based Testing of IoT Applications

    IoT applications are ubiquitous and many of them are large in scale, involving processing and storage of real-time sensor data and various events....
    S. R. Nagalakshmi, Meenakshi D’Souza in Distributed Computing and Intelligent Technology
    Conference paper 2024
  18. Tokenization of Fine Arts: Revolutionizing the Fine Arts Industry with Blockchain

    This chapter analyzes the scope of possibility for tokenizing proof of ownership, evidence of valuation, and quality of alternative investment...
    Chapter 2024
  19. Blockchain and Smart Contracts for Telecommunications: The Whys and Wherefores

    Telecommunications represents a fertile field for blockchain and smart contracts to harvest innovative use cases. The development of 5G and the...
    Meroua Moussaoui, Emmanuel Bertin, Noel Crespi in Blockchain and Smart-Contract Technologies for Innovative Applications
    Chapter 2024
  20. Deep Learning in Industry 4.0: Transforming Manufacturing Through Data-Driven Innovation

    Industry 4.0 is resha** manufacturing by seamlessly integrating data acquisition, analysis, and modeling, creating intelligent and interconnected...
    Kushagra Agrawal, Nisharg Nargund in Distributed Computing and Intelligent Technology
    Conference paper 2024
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