Deep Learning for IoT Traffic Prediction Based on Edge Computing

Author:

Abdellah Ali R.,Artem Volkov,Muthanna Ammar,Gallyamov Denis,Koucheryavy Andrey

Publisher

Springer International Publishing

Cited by 14 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. Machine learning-driven optimization of enterprise resource planning (ERP) systems: a comprehensive review;Beni-Suef University Journal of Basic and Applied Sciences;2024-01-04

2. Delay Prediction in M2M Networks Using the Deep Learning Approach;EAI/Springer Innovations in Communication and Computing;2024

3. Employing a deep learning technique to categorize Internet of Things (IoT) traffic in a smart city context;2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE);2023-11-01

4. A Comparative Analysis of Machine Learning Techniques for Enhanced Resource Management in Multi-Access Edge Computing;2023 IEEE 9th World Forum on Internet of Things (WF-IoT);2023-10-12

5. Employing a Deep Learning Technique to Categorize Internet of Things (IoT) Traffic in a Smart City Context;2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS);2023-08-23

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