• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 68 matches

• 2024
• 
  Anu Jagannath, Zackary Kane, Jithin Jagannath:
  Bluetooth and WiFi Dataset for Real World RF Fingerprinting of Commercial Devices. IEEE Commun. Mag. 62(5): 50-56 (2024)
• 
  Jagannath Samantaray, Rupak Chakraborty, Anubrata Dey, Sohom Chakrabarty:
  An Exponential Power Rate Discrete-Time Sliding Mode Observer for a Modular Multilevel Converter. IEEE Trans. Ind. Electron. 71(8): 8227-8236 (2024)
• 2023
• 
  Collin Farquhar, Swatantra Kafle, Kian Hamedani, Anu Jagannath, Jithin Jagannath:
  Marconi-Rosenblatt Framework for Intelligent Networks (MR-iNet Gym): For Rapid Design and Implementation of Distributed Multi-agent Reinforcement Learning Solutions for Wireless Networks. Comput. Networks 222: 109489 (2023)
• 
  Keyvan Ramezanpour, Jithin Jagannath, Anu Jagannath:
  Security and privacy vulnerabilities of 5G/6G and WiFi 6: Survey and research directions from a coexistence perspective. Comput. Networks 221: 109515 (2023)
• 
  Swatantra Kafle, Jithin Jagannath, Zackary Kane, Noor Biswas, Prem Sagar Pattanshetty Vasanth Kumar, Anu Jagannath:
  Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation. IEEE Commun. Lett. 27(7): 1789-1793 (2023)
• 
  Anu Jagannath, Jithin Jagannath:
  Embedding-Assisted Attentional Deep Learning for Real-World RF Fingerprinting of Bluetooth. IEEE Trans. Cogn. Commun. Netw. 9(4): 940-949 (2023)
• 
  Jagannath Samantaray, Rupak Chakraborty, Anubrata Dey, Sohom Chakrabarty:
  Lyapunov-Based Capacitor Voltage Observation of Modular Multilevel Converters. IEEE Trans. Ind. Electron. 70(3): 3024-3034 (2023)
• 
  Anupama Jagannathan, Christopher M. Dye, Karthick Rajamani, Chris Galtenberg, Benjamin Luong, Egan Ford:
  REFORM: Increase alerts value using data driven approach. IC2E 2023: 184-192
• 
  Swatantra Kafle, Jithin Jagannath, Zackary Kane, Noor Biswas, Prem Sagar Pattanshetty Vasanth Kumar, Anu Jagannath:
  Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation. CoRR abs/2302.02250 (2023)
• 
  Anu Jagannath, Zackary Kane, Jithin Jagannath:
  Bluetooth and WiFi Dataset for Real World RF Fingerprinting of Commercial Devices. CoRR abs/2303.13538 (2023)
• 2022
• 
  Jithin Jagannath, Anu Jagannath, Justin Henney, Tyler Gwin, Zackary Kane, Noor Biswas, Andrew L. Drozd:
  Design of fieldable cross-layer optimized network using embedded software defined radios: Survey and novel architecture with field trials. Comput. Networks 209: 108917 (2022)
• 
  Anu Jagannath, Jithin Jagannath, Prem Sagar Pattanshetty Vasanth Kumar:
  A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches, deep learning, and open challenges. Comput. Networks 219: 109455 (2022)
• 
  Tejalal Choudhary, Vipul Kumar Mishra, Anurag Goswami, Jagannathan Sarangapani:
  Inference-aware convolutional neural network pruning. Future Gener. Comput. Syst. 135: 44-56 (2022)
• 
  Tejalal Choudhary, Vipul Kumar Mishra, Anurag Goswami, Jagannathan Sarangapani:
  Heuristic-based automatic pruning of deep neural networks. Neural Comput. Appl. 34(6): 4889-4903 (2022)
• 
  Anu Jagannath, Jithin Jagannath:
  Multi-task learning approach for modulation and wireless signal classification for 5G and beyond: Edge deployment via model compression. Phys. Commun. 54: 101793 (2022)
• 
  Anu Jagannath, Zackary Kane, Jithin Jagannath:
  RF Fingerprinting Needs Attention: Multi-task Approach for Real-World WiFi and Bluetooth. GLOBECOM 2022: 4607-4612
• 
  Jithin Jagannath, Kian Hamedani, Collin Farquhar, Keyvan Ramezanpour, Anu Jagannath:
  MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio. WiseML@WiSec 2022: 51-56
• 
  Jithin Jagannath, Keyvan Ramezanpour, Anu Jagannath:
  Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control. WiseML@WiSec 2022: 81-86
• 
  Anu Jagannath, Jithin Jagannath:
  RF-Fingerprint-BT-IoT: Real-world Frequency Hopping Bluetooth dataset from IoT devices for RF fingerprinting. IEEE DataPort, 2022 
• 
  Anu Jagannath, Zackary Kane, Jithin Jagannath:
  Real-world Commercial WiFi and Bluetooth Dataset for RF Fingerprinting. IEEE DataPort, 2022 
• 
  Anu Jagannath, Jithin Jagannath, Prem Sagar Pattanshetty Vasanth Kumar:
  A Comprehensive Survey on Radio Frequency (RF) Fingerprinting: Traditional Approaches, Deep Learning, and Open Challenges. CoRR abs/2201.00680 (2022)
• 
  Jithin Jagannath, Anu Jagannath, Justin Henney, Tyler Gwin, Zackary Kane, Noor Biswas, Andrew L. Drozd:
  Design of Fieldable Cross-Layer Optimized Network using Embedded Software Defined Radios: Survey and Novel Architecture with Field Trials. CoRR abs/2201.09454 (2022)
• 
  Anu Jagannath, Jithin Jagannath:
  Multi-task Learning Approach for Modulation and Wireless Signal Classification for 5G and Beyond: Edge Deployment via Model Compression. CoRR abs/2203.00517 (2022)
• 
  Jithin Jagannath, Keyvan Ramezanpour, Anu Jagannath:
  Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control. CoRR abs/2204.01950 (2022)
• 
  Anu Jagannath, Jithin Jagannath, Yanzhi Wang, Tommaso Melodia:
  Deep neural network goes lighter: A case study of deep compression techniques on automatic RF modulation recognition for Beyond 5G networks. CoRR abs/2204.04390 (2022)
• 
  Jithin Jagannath, Kian Hamedani, Collin Farquhar, Keyvan Ramezanpour, Anu Jagannath:
  MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio. CoRR abs/2204.04507 (2022)
• 
  Collin Farquhar, Prem Sagar Pattanshetty Vasanth Kumar, Anu Jagannath, Jithin Jagannath:
  Distributed Transmission Control for Wireless Networks using Multi-Agent Reinforcement Learning. CoRR abs/2205.06800 (2022)
• 
  Keyvan Ramezanpour, Jithin Jagannath, Anu Jagannath:
  Security and Privacy vulnerabilities of 5G/6G and WiFi 6: Survey and Research Directions from a Coexistence Perspective. CoRR abs/2206.14997 (2022)
• 
  Anu Jagannath, Zackary Kane, Jithin Jagannath:
  RF Fingerprinting Needs Attention: Multi-task Approach for Real-World WiFi and Bluetooth. CoRR abs/2209.03142 (2022)
• 
  Anu Jagannath, Jithin Jagannath:
  Embedding-Assisted Attentional Deep Learning for Real-World RF Fingerprinting of Bluetooth. CoRR abs/2210.02897 (2022)

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