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Titlebook: Artificial Intelligence in Manufacturing; Enabling Intelligent John Soldatos Book‘‘‘‘‘‘‘‘ 2024 The Editor(s) (if applicable) and The Author

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Leveraging Semantic Representations via Knowledge Graph Embeddingsto the given KG characteristics. Therefore, this work provides an overview of state-of-the-art KG embedding methods and their functionalities, identifying the lack of dynamic embedding formalisms and application scenarios as the key obstacles that hinder their implementation in manufacturing. Accord
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Multisided Business Model for Platform Offering AI Servicesbe design, and a revenue model will be proposed within it. The selected case allowed the use of a methodological approach (PDT – Platform Design Toolkit) to the design of an MSP business model based on a qualitative analysis of the dynamics governing the platform ecosystem. The originality of the re
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Reinforcement Learning-Based Approaches in Manufacturing Environmentstors, which are part of ongoing research activities within two distinct European Research Projects. We demonstrate how reinforcement learning is implemented in a digital context, with the ultimate goal of deploying these strategies in real systems.
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