Leveraging Graph and Deep Learning Uncertainties to Detect Anomalous Trajectories

no code implementations • 4 Jul 2021 • Sandeep Kumar Singh, Jaya Shradha Fowdur, Jakob Gawlikowski, Daniel Medina

Our experimental results suggest that the graphical representation of traffic patterns improves the ability of the DL models, such as evidential and Monte Carlo dropout, to learn the temporal-spatial correlation of data and associated uncertainties.

Artificial Intelligence (AI) Methods in Optical Networks: A Comprehensive Survey

no code implementations • 5 Jan 2018 • Javier Mata, Ignacio de Miguel, Ramó n J. Durá n, Noemí Merayo, Sandeep Kumar Singh, Admela Jukan, Mohit Chamania

This paper presents a comprehensive review of the application of AI techniques for improving performance of optical communication systems and networks.

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