353 citations · 363 across the 7 of their papers we have counts for
7 papers
Leveraging Graph and Deep Learning Uncertainties to Detect Anomalous Trajectories
Sandeep Kumar Singh, Jaya Shradha Fowdur, Jakob Gawlikowski +1
Understanding and representing traffic patterns are key to detecting anomalous trajectories in the transportation domain. However, some trajectories can exhibit heterogeneous maneu…
Machine Learning-Assisted Anomaly Detection in Maritime Navigation Using AIS Data
Sandeep Kumar Singh, Frank Heymann
The automatic identification system (AIS) reports vessels' static and dynamic information, which are essential for maritime traffic situation awareness. However, AIS transponders c…
On Detecting and Preventing Jamming Attacks with Machine Learning in Optical Networks
Mounir Bensalem, Sandeep Kumar Singh, Admela Jukan
Optical networks are prone to power jamming attacks intending service disruption. This paper presents a Machine Learning (ML) framework for detection and prevention of jamming atta…
Artificial Intelligence (AI) Methods in Optical Networks: A Comprehensive Survey
Javier Mata, Ignacio de Miguel, Ramó n J. Durá n +4
Artificial intelligence (AI) is an extensive scientific discipline which enables computer systems to solve problems by emulating complex biological processes such as learning, reas…
Computing Exact and Approximate Blocking Probabilities in Elastic Optical Networks
Sandeep Kumar Singh, Admela Jukan
In this paper, we propose the first exact Markov model for connection blocking analysis in elastic optical networks, based on the occupancy status of spectrum slices on all links d…
Defragmentation-as-a-Service (DaaS): How beneficial is it?
Sandeep Kumar Singh, Wolfgang Bziuk, Admela Jukan
We analyze Defragmentation-as-a-Service (DaaS) in elastic optical networks and show that the positive effect of defragmentation depends on the rate at which it is performed, load (…