Cycle Detection and Clustering for Cyber Physical Systems-Reference-Cited by-同舟云学术

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Cycle Detection and Clustering for Cyber Physical Systems

Published:2023 Issue: Volume: Page:100-114
ISSN:2367-3370
Container-title:Advanced Information Networking and Applications
language:
Short-container-title:

Author:

Iuhasz Gabriel,Panica Silviu,Duma Alecsandru

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-28694-0_10

Reference23 articles.

1. Ankerst, M., Breunig, M.M., Kriegel, H.P., Sander, J.: Optics: ordering points to identify the clustering structure. In: Proceedings of the 1999 ACM SIGMOD International Conference on Management of Data, SIGMOD 1999, pp. 49–60. Association for Computing Machinery, New York (1999). https://doi.org/10.1145/304182.304187

2. Carvalho, T.P., Soares, F.A.A.M.N., Vita, R., Francisco, R.D.P., Basto, J.P., Alcalá, S.G.S.: A systematic literature review of machine learning methods applied to predictive maintenance. Comput. Ind. Eng. 137, 106024 (2019). https://doi.org/10.1016/j.cie.2019.106024. https://www.sciencedirect.com/science/article/pii/S0360835219304838

3. Lecture Notes in Management and Industrial Engineering;ZM Cinar,2020

4. Dalzochio, J., et al.: Machine learning and reasoning for predictive maintenance in industry 4.0: current status and challenges. Comput. Ind. 123, 103298 (2020). https://doi.org/10.1016/j.compind.2020.103298. https://www.sciencedirect.com/science/article/pii/S0166361520305327

5. Erhan, L., et al.: Smart anomaly detection in sensor systems: a multi-perspective review. Inf. Fusion 67, 64–79 (2021). https://doi.org/10.1016/j.inffus.2020.10.001. https://www.sciencedirect.com/science/article/pii/S1566253520303717

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Distributed Platform for Cycle Detection and Analysis in Cyber-Physical Systems;Lecture Notes on Data Engineering and Communications Technologies;2024

2. Performance and Compliance Anomaly Detection;2023 25th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC);2023-09-11

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