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A Comprehensive Survey on Radio Frequency (RF) Fingerprinting: Traditional Approaches, Deep Learning, and Open Challenges


Jan 03, 2022
Anu Jagannath, Jithin Jagannath, Prem Sagar Pattanshetty Vasanth Kumar


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Machine Learning Subsystem for Autonomous Collision Avoidance on a small UAS with Embedded GPU


Dec 03, 2021
Nicholas Polosky, Tyler Gwin, Sean Furman, Parth Barhanpurkar, Jithin Jagannath

* IEEE International Workshop on Communication and Networking for Swarms Robotics 

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Adversarial Classification of the Attacks on Smart Grids Using Game Theory and Deep Learning


Jun 06, 2021
Kian Hamedani, Lingjia Liu, Jithin Jagannath, Yang, Yi

* Accepted to ACM Workshop on Wireless Security and Machine Learning (WiseML) 2021 

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Intelligent Zero Trust Architecture for 5G/6G Tactical Networks: Principles, Challenges, and the Role of Machine Learning


May 04, 2021
Keyvan Ramezanpour, Jithin Jagannath

* Submitted for possible publication in IEEE Journal. For non-commercial use only. Please contact Dr. Jithin Jagannath for any other use case 

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Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification


Feb 20, 2021
Anu Jagannath, Jithin Jagannath

* IEEE International Conference on Communications (ICC) 2021 
* To appear in Proc. of IEEE International Conference on Communications (ICC) 2021. Open data set also included in the reference 

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Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment


Sep 09, 2020
Jithin Jagannath, Anu Jagannath, Sean Furman, Tyler Gwin

* Preprint of Book Chapter to be published in Springer 

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