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

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書目名稱Dependable Computing – EDCC 2022 Workshops影響因子(影響力)




書目名稱Dependable Computing – EDCC 2022 Workshops影響因子(影響力)學(xué)科排名




書目名稱Dependable Computing – EDCC 2022 Workshops網(wǎng)絡(luò)公開度




書目名稱Dependable Computing – EDCC 2022 Workshops網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Dependable Computing – EDCC 2022 Workshops被引頻次




書目名稱Dependable Computing – EDCC 2022 Workshops被引頻次學(xué)科排名




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書目名稱Dependable Computing – EDCC 2022 Workshops年度引用學(xué)科排名




書目名稱Dependable Computing – EDCC 2022 Workshops讀者反饋




書目名稱Dependable Computing – EDCC 2022 Workshops讀者反饋學(xué)科排名

aesthetician

使成波狀

PHON

Dynamical Systems and Cosmologye log filtering rules to be applied on previously unseen diagnostic data to identify the root cause of the occurred problem. This paper introduces the AID4TRAIN framework and its implementation at the current project stage. Further, a preliminary case study in the railway domain is presented.

PANG

自負(fù)的人

Constantin Bota,Bogdan C?runtu,Liviu Bereteuts of each active coupler with the aim of reducing the higher fluctuations of the coupling force induced by couplers for travelling, hence minimizing the inter-cars shocks. Numerical results, including a comparison analysis with a passive coupler, confirm the effectiveness and the benefits of the pr

自負(fù)的人

Formal Analysis Approach for?Multi-layered System Safety and?Security Co-engineeringnd security properties, instantiate-able at each layer. We rely upon the meta-modeling and formal techniques for the specification, conceptual modeling, formal interpretation, and verification of the system w.r.t. the allocated properties. The overall approach is validated using Rodin as an instance

intention

贊成你

A Literature Review for the Application of Artificial Intelligence in the Maintenance of Railway Opef data types ranging from sound, GPS coordinates, track geometry, speed and acceleration data, data from rolling stock vibrations, knowledge from experts, historical data from logs and reports, temperature data and more. Data can also be harvested using different technologies such as IoT devices, wi

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