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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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樓主: 落后的煤渣
21#
發(fā)表于 2025-3-25 04:15:45 | 只看該作者
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
22#
發(fā)表于 2025-3-25 10:00:07 | 只看該作者
23#
發(fā)表于 2025-3-25 13:41:29 | 只看該作者
24#
發(fā)表于 2025-3-25 18:07:37 | 只看該作者
25#
發(fā)表于 2025-3-25 20:26:26 | 只看該作者
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.
26#
發(fā)表于 2025-3-26 03:35:57 | 只看該作者
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.
27#
發(fā)表于 2025-3-26 04:38:43 | 只看該作者
28#
發(fā)表于 2025-3-26 11:54:56 | 只看該作者
29#
發(fā)表于 2025-3-26 13:54:22 | 只看該作者
30#
發(fā)表于 2025-3-26 19:20:02 | 只看該作者
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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