Improving Resilience in Cyber-Physical Systems based on Transfer Learning-Reference-Cited by-同舟云学术

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Improving Resilience in Cyber-Physical Systems based on Transfer Learning

Published:2022-07-27 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Cyber Security and Resilience (CSR)
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Author:

Azari Mehdi Saman¹,Flammini Francesco²,Santini Stefania³

Affiliation:

1. Linnaeus University,Department of Computer Science and Media Technology,Växjo,Sweden

2. Mälardalen University,School of Innovation, Design and Engineering,Västerås,Sweden

3. University of Naples Federico II,Department of Electrical Engineering and Information Technology,Naples,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9850275/9850277/09850282.pdf?arnumber=9850282

Reference22 articles.

1. A Comprehensive Framework for the Security Risk Management of Cyber-Physical Systems

2. Data-Driven Fault Diagnosis of Once-through Benson Boilers

3. Sparse representation theory for support vector machine kernel function selection and its application in high-speed bearing fault diagnosis

4. Using log analytics and process mining to enable self-healing in the Internet of Things

5. A new deep auto-encoder method with fusing discriminant information for bearing fault diagnosis

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1. Digital Twin for Sustainability Assessment and Policy Evaluation: A Systematic Literature Review;2023 IEEE/ACM 7th International Workshop on Green And Sustainable Software (GREENS);2023-05

2. Scientific Research-Based View in Construction Projects: Creating Intelligent Infrastructure;Interdisciplinary Description of Complex Systems;2023

3. A Systematic Literature Review on Transfer Learning for Predictive Maintenance in Industry 4.0;IEEE Access;2023

4. LPT-QPN: A Lightweight Physics-Informed Transformer for Quantitative Precipitation Nowcasting;IEEE Transactions on Geoscience and Remote Sensing;2023

5. Cloud Computing and Critical Infrastructure Resilience;Advanced Information Networking and Applications;2023

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