Runtime Verified Neural Networks for Cyber-Physical Systems-Reference-Cited by-同舟云学术

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Runtime Verified Neural Networks for Cyber-Physical Systems

Published:2024-09-13 Issue: Volume:5 Page:44-51
ISSN:
Container-title:Proceedings of the 7th ACM International Workshop on Verification and Monitoring at Runtime Execution
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Author:

Tripuramallu Dhiren¹^ORCID,Anand Ayush¹^ORCID,Pinisetty Srinivas¹^ORCID,Pearce Hammond²^ORCID,Roop Partha³^ORCID

Affiliation:

1. IIT Bhubaneswar, Bhubaneswar, India

2. UNSW, Sydney, Australia

3. University of Auckland, Auckland, New Zealand

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3679008.3685547

Reference28 articles.

1. 2023. Self-Driving Car Accident Statistics. Kisling, Nestico & Redick, LLC (2023). https://www.knrlegal.com/car-

2. Anonymous. [n. d.]. Misclassification Analyzer. ([n. d.]). https://drive.google.com/file/d/1uGlMBK3wvr3l3moYa0xqNBGovw6Bw1ub/view?usp=sharing

3. Radhakisan Baheti and Helen Gill. 2011. Cyber-physical systems. The impact of control technology 12, 1 (2011), 161–166.

4. Runtime Verification for LTL and TLTL

5. DF Bedford, G Morgan, and J Austin. 1996. Requirements for a standard certifying the use of artificial neural networks in safety critical applications. In Proceedings of the international conference on artificial neural networks. Citeseer.

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