4 papers
Koopman AutoEncoder via Singular Value Decomposition for Data-Driven Long-Term Prediction
Jinho Choi, Sivaram Krishnan, Jihong Park
The Koopman autoencoder, a data-driven technique, has gained traction for modeling nonlinear dynamics using deep learning methods in recent years. Given the linear characteristics…
Graph Koopman Autoencoder for Predictive Covert Communication Against UAV Surveillance
Sivaram Krishnan, Jihong Park, Gregory Sherman +2
Low Probability of Detection (LPD) communication aims to obscure the very presence of radio frequency (RF) signals, going beyond just hiding the content of the communication. Howev…
Energy-Efficient UAV-Assisted IoT Data Collection via TSP-Based Solution Space Reduction
Sivaram Krishnan, Mahyar Nemati, Seng W. Loke +2
This paper presents a wireless data collection framework that employs an unmanned aerial vehicle (UAV) to efficiently gather data from distributed IoT sensors deployed in a large a…
Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc Networks
Sivaram Krishnan, Jihong Park, Subhash Sagar +3
Low probability of detection (LPD) has recently emerged as a means to enhance the privacy and security of wireless networks. Unlike existing wireless security techniques, LPD measu…