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Titlebook: Dependable Computing – EDCC 2022 Workshops; SERENE, DREAMS, AI4R Stefano Marrone,Martina De Sanctis,Valeria Vittori Conference proceedings

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楼主: 落后的煤渣
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Railway Digital Twins and Artificial Intelligence: Challenges and Design Guidelinesesent a promising paradigm to enhance the predictability, safety, and reliability of cyber-physical systems. They can play a key role in different domains, as it is also witnessed by several ongoing standardisation activities. However, several challenging issues have to be faced in order to effectiv
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The Theory of Catastrophes Before Poincaréromising technique towards safer autonomous systems. Although hazard generation and modularisation are not easy, we argue that STPA provides a different view on safety which aligns much better with an autonomous system view.
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https://doi.org/10.1007/978-3-662-06796-3ature on specific parameters, which are then re-sampled and used to generate new curves. The model is analyzed in different practice-relevant scenarios and shows potential for improving condition monitoring methods.
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Railway Digital Twins and Artificial Intelligence: Challenges and Design Guidelinesntified, with interoperability being the most discussed challenge. One difficulty is to transmit operational data in real-time from edge systems to the cloud in order to achieve timely decision making. We also provide some guidelines to support the design of DTs with a focus on machine learning for railway maintenance.
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