Delay Prediction in M2M Networks Using the Deep Learning Approach
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-51097-7_7
Reference22 articles.
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2. Dwivedi, J.N.: Internet of things (IoT) and machine to machine (M2M) communication techniques for cyber crime prediction. In: Pani, S.K., Singh, S.K., Garg, L., Pachori, R.B., Zhang, X. (eds.) Intelligent Data Analytics for Terror Threat Prediction (2021). https://doi.org/10.1002/9781119711629.ch2
3. Abdellah, A., Koucheryavy, A.: Survey on Artificial Intelligence Techniques in 5g Networks. Telecom IT, SPbSUT, Russia, vol. 8, issue. 1, pp. 1–10. http://www.sut.ru/doci/nauka/1AEA/ITT/2020_1/1-10.pdf (April 2020)
4. Abdellah, A.R., Koucheryavy, A.: Artificial Intelligence Driven 5G and Beyond Networks. Telecom IT, SPbSUT, Russia, vol. 10, issue. 2, pp. 1–13. http://www.sut.ru/doci/nauka/1AEA/ITT/2022_2/1-13.pdf (2022)
5. Abdellah, A.R., Mahmood, O.A.K., Paramonov, A., Koucheryavy, A.: IoT traffic prediction using multi-step ahead prediction with neural network. In: IEEE 11th International Congress on Ultra-Modern Telecommunications and Control Systems and Workshops (ICUMT) (2019)
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