The Bonch-Bruevich St.Petersburg State University (SPbSUT) is glad to announce below the "Traffic recognition and Long-term traffic forecasting based on AI algorithms and metadata for 5G/IMT-2020 and beyond", which is organized as part of the “ITU Artificial Intelligence/Machine Learning in 5G Challenge.”

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You can find our Research Background on the Direction 1 and Direction 2 of problem statement in the following published articles:

[1] Volkov, A., Ateya, A. A., Muthanna, A., Koucheryavy, A. (2019). Novel AI-Based Scheme for Traffic Detection and Recognition in 5G Based Networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11660 LNCS, pp. 243{255). Springer Verlag. https://doi.org/10.1007/978-3-030-30859-921.

[2] Volkov, A., Proshutinskiy, K., Adam, A. B. M., Ateya, A. A., Muthanna, A., Koucheryavy, A. (2019). SDN Load Prediction Algorithm Based on Artificial Intelligence. In Communications in Computer and Information Science (Vol. 1141 CCIS, pp. 27{40). Springer. https://doi.org/10.1007/978-3-030-36625-43

[3] Ali R. Abdellah, Omar Abdul Kareem Mahmood, Alexander Paramonov, Andrey Koucheryavy, “IoT traffic prediction using multi-step ahead prediction with neural network”, IEEE 11th International Congress on Ultra-Modern Telecommunications and Control Systems and Workshops (ICUMT), 2019. https://doi.org/10.1109/ICUMT48472.2019.8970675.

[4]Khayyat, M., Elgendy, I. A., Muthanna, A., Alshahrani, A., Alharbi, S., & Koucheryavy, A. (2020). Advanced Deep Learning-based Computational Offloading for Multilevel Vehicular Edge-Cloud Computing Networks. IEEE Access, 1–1. https://doi.org/10.1109/access.2020.3011705

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Contact and updates

Please, contact us, if you will have questions on the challenge task. Mailing list (use the three addresses at the same time, for example, one is the main and others put in the copy):

artemanv.work@gmail.com

ammarexpress@gmail.com

alirefaee@azhar.edu.eg

Organizers and Experts