Cloud-edge collaboration-based task offloading strategy in railway IoT for intelligent detection
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11276-024-03824-z.pdf
Reference36 articles.
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2. Jia, R., Wang, L., Zheng, C., & Chen, T. (2022). Online wear particle detection sensors for wear monitoring of mechanical equipment—A review. IEEE Sensors Journal, 22(4), 2930–2947. https://doi.org/10.1109/JSEN.2021.3131467
3. Yang, N., & Chen, M. (2023). Design and application of big data technology management for the analysis system of high speed railway operation safety rules. In 2023 IEEE international conference on integrated circuits and communication systems (ICICACS) (pp. 1–6). https://doi.org/10.1109/ICICACS57338.2023.10100171
4. Sobhy, H., Zohny, H. N., & Elhabiby, M. (2020). Railway inspection using non-contact non-destructive techniques. International Journal of Engineering and Applied Sciences (IJEAS). https://doi.org/10.31873/IJEAS.7.08.13
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