Sreeraj Rajendran

Orcid: 0000-0002-9056-7494

According to our database1, Sreeraj Rajendran authored at least 25 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Spectrum Prediction for Protocol-Aware RF Jamming.
IEEE Trans. Cogn. Commun. Netw., April, 2024

2023
Contrastive learning with self-reconstruction for channel-resilient modulation classification.
Proceedings of the IEEE INFOCOM 2023, 2023

Multi-view contextual performance profiling in rotating machinery.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023

Autoencoder based framework for drone RF signal classification and novelty detection.
Proceedings of the 25th International Conference on Advanced Communication Technology, 2023

2022
Evolutionary Optimization of Residual Neural Network Architectures for Modulation Classification.
IEEE Trans. Cogn. Commun. Netw., 2022

Combined RF-Based Drone Detection and Classification.
IEEE Trans. Cogn. Commun. Netw., 2022

2021
Learning the unknown: Improving modulation classification performance in unseen scenarios.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

CNN-based Burst Signal Detection with Covariance Matrix.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Drone classification from RF fingerprints using deep residual nets.
Proceedings of the 13th International Conference on COMmunication Systems & NETworkS, 2021

2020
Crowdsourced Wireless Spectrum Anomaly Detection.
IEEE Trans. Cogn. Commun. Netw., 2020

Electrosense+: Crowdsourcing radio spectrum decoding using IoT receivers.
Comput. Networks, 2020

2019
Unsupervised Wireless Spectrum Anomaly Detection With Interpretable Features.
IEEE Trans. Cogn. Commun. Netw., 2019

Localization in Ultra Narrow Band IoT Networks: Design Guidelines and Tradeoffs.
IEEE Internet Things J., 2019

Localization in Ultra Narrow Band IoT Networks: Design Guidelines and Trade-Offs.
CoRR, 2019

2018
Deep Learning Models for Wireless Signal Classification With Distributed Low-Cost Spectrum Sensors.
IEEE Trans. Cogn. Commun. Netw., 2018

A multi-layered energy consumption model for smart wireless acoustic sensor networks.
CoRR, 2018

Electrosense+: Empowering People to Decode the Radio Spectrum.
CoRR, 2018

Electrosense: Open and Big Spectrum Data.
IEEE Commun. Mag., 2018

Key Technologies and System Trade-offs for Detection and Localization of Amateur Drones.
IEEE Commun. Mag., 2018

Demo: Electrosense - spectrum sensing with increased frequency range.
Proceedings of the 2018 International Conference on Embedded Wireless Systems and Networks, 2018

SAIFE: Unsupervised Wireless Spectrum Anomaly Detection with Interpretable Features.
Proceedings of the 2018 IEEE International Symposium on Dynamic Spectrum Access Networks, 2018

2017
DySPAN Spectrum Challenge: Situational Awareness and Opportunistic Spectrum Access Benchmarked.
IEEE Trans. Cogn. Commun. Netw., 2017

Distributed Deep Learning Models for Wireless Signal Classification with Low-Cost Spectrum Sensors.
CoRR, 2017

Electrosense: Crowdsourcing spectrum monitoring.
Proceedings of the 2017 IEEE International Symposium on Dynamic Spectrum Access Networks, 2017

2016
IEEE 5G Spectrum Sharing Challenge: A Practical Evaluation of Learning and Feedback.
IEEE Commun. Mag., 2016


  Loading...