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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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51#
發(fā)表于 2025-3-30 08:20:02 | 只看該作者
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
52#
發(fā)表于 2025-3-30 16:15:52 | 只看該作者
53#
發(fā)表于 2025-3-30 18:05:48 | 只看該作者
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
54#
發(fā)表于 2025-3-31 00:13:06 | 只看該作者
55#
發(fā)表于 2025-3-31 03:44:31 | 只看該作者
56#
發(fā)表于 2025-3-31 08:14:44 | 只看該作者
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.
57#
發(fā)表于 2025-3-31 10:11:43 | 只看該作者
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