51 citations · 51 across the 5 of their papers we have counts for
6 papers
InvertiTune: High-Quality Data Synthesis for Cost-Effective Single-Shot Text-to-Knowledge Graph Generation
Faezeh Faez, Marzieh S. Tahaei, Yaochen Hu +4
Large Language Models (LLMs) have revolutionized the ability to understand and generate text, enabling significant progress in automatic knowledge graph construction from text (Tex…
Machine learning empowered Modulation detection for OFDM-based signals
Ali Pourranjbar, Georges Kaddoum, Verdier Assoume Mba +2
We propose a blind ML-based modulation detection for OFDM-based technologies. Unlike previous works that assume an ideal environment with precise knowledge of subcarrier count and…
Recurrent Neural Network-based Anti-jamming Framework for Defense Against Multiple Jamming Policies
Ali Pourranjbar, Georges Kaddoum, Walid Saad
Conventional anti-jamming methods mainly focus on preventing single jammer attacks with an invariant jamming policy or jamming attacks from multiple jammers with similar jamming po…
Jamming Pattern Recognition over Multi-Channel Networks: A Deep Learning Approach
Ali Pourranjbar, Georges Kaddoum, Walid Saad
With the advent of intelligent jammers, jamming attacks have become a more severe threat to the performance of wireless systems. An intelligent jammer is able to change its policy…
Reinforcement Learning for Deceiving Reactive Jammers in Wireless Networks
Ali Pourranjbar, Georges Kaddoum, Aidin Ferdowsi +1
Conventional anti-jamming method mostly rely on frequency hopping to hide or escape from jammer. These approaches are not efficient in terms of bandwidth usage and can also result…
Collaborative Spectrum Sensing in Tactical Wireless Networks
Bryan Gingras, Ali Pourranjbar, Georges Kaddoum
In this paper, we propose an algorithm for channel sensing, collaboration, and transmission for networks of Tactical Communication Systems that are facing intrusions from hostile J…