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Contribution of artificial intelligence and machine learning to the assessment of the safety of critical software used in railway transport

  • Published:2019 Issue:1 Volume:3 Page:33-70
  • ISSN:2578-1588
  • Container-title:AIMS Electronics and Electrical Engineering
  • language:en
  • Short-container-title:

Author:

Hadj-Mabrouk Habib,

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference54 articles.

1. Railway applications - Communication, signaling and processing systems - Safety related electronic systems for signaling, 1 February 2003, 98

2. Installations fixes et matériel roulant ferroviaires

3. Méthodologie d'Analyse des Effets des Erreurs du Logiciel (AEEL) appliquée à l'étude d'un logiciel de haute sécurité

4. Contribution du raisonnement à partir de cas à l'analyse des effets des erreurs du logiciel

5. Machine learning from experience feedback on accidents in transport

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1. Approach to Assist in the Discovery of Railway Accident Scenarios Based on Supervised Learning;Energy, Environment, and Sustainability;2023

2. A literature review of Artificial Intelligence applications in railway systems;Transportation Research Part C: Emerging Technologies;2022-07

3. Case-based reasoning for safety assessment of critical software;Intelligent Decision Technologies;2021-01-06

4. Decision Support Approach for Assessing of Rail Transport;Advances in Logistics, Operations, and Management Science;2021

5. Analysis and prediction of railway accident risks using machine learning;AIMS Electronics and Electrical Engineering;2020
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