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Intelligent-Prediction Model of Safety-Risk for CBTC System by Deep Neural Network.

, , , , and . CollaborateCom, volume 292 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 669-680. Springer, (2019)

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Automatic Test Generation of Large Boolean Expressions in Computer Based Interlocking System., , , , and . APSEC, page 513-520. IEEE Computer Society, (2017)Automating Consistency Verification of Safety Requirements for Railway Interlocking Systems., , , , , , and . RE, page 308-318. IEEE, (2019)Safety Requirements Specification and Verification for Railway Interlocking Systems., , , , and . COMPSAC, page 335-340. IEEE Computer Society, (2016)Applying SOFL to a Railway Interlocking System in Industry., , , and . SOFL+MSVL, volume 10189 of Lecture Notes in Computer Science, page 160-177. (2016)Intelligent Hazard-Risk Prediction Model for Train Control Systems., , , , , and . IEEE Trans. Intell. Transp. Syst., 21 (11): 4693-4704 (2020)Safety prediction of rail transit system based on deep learning., , , , , and . ICIS, page 851-856. IEEE Computer Society, (2017)A Survey on Spatiotemporal Data Processing Techniques in Smart Urban Rail., , , , , and . DASFAA (Workshops), volume 13248 of Lecture Notes in Computer Science, page 229-243. Springer, (2022)Intelligent-Prediction Model of Safety-Risk for CBTC System by Deep Neural Network., , , , and . CollaborateCom, volume 292 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 669-680. Springer, (2019)Hybrid Lustre., , , , , and . Ershov Memorial Conference, volume 9609 of Lecture Notes in Computer Science, page 325-340. Springer, (2015)Decomposing Automatic Train Control Verification System with Projection., , , , and . APSEC, page 301-308. IEEE Computer Society, (2015)