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Sreeraj Rajendran
Observed names:
Rajendran Sreeraj,
Rajendran, Sreeraj
Institution:
Sirris
Observed institutions:
Sirris,
KU Leuven
ORCID:
0000-0002-9056-7494
Observed ORCID:
0000-0002-9056-7494
OpenAlex ID:
A5037259782
Deep Learning Models for Wireless Signal Classification With Distributed Low-Cost Spectrum Sensors
2018
·
Sreeraj Rajendran
, Wannes Meert
, et al.
·
IEEE Transactions on Cognitive Communications and Networking
·
985
PDF
Combined RF-Based Drone Detection and Classification
2021
·
Sanjoy Basak
, Sreeraj Rajendran
, et al.
·
IEEE Transactions on Cognitive Communications and Networking
·
188
PDF
Electrosense: Open and Big Spectrum Data
2017
·
Sreeraj Rajendran
, Roberto Calvo-Palomino
, et al.
·
IEEE Communications Magazine
·
181
PDF
Key Technologies and System Trade-offs for Detection and Localization of Amateur Drones
2018
·
Mohammad Mahdi Azari
, Hazem Sallouha
, et al.
·
IEEE Communications Magazine
·
136
PDF
Unsupervised Wireless Spectrum Anomaly Detection With Interpretable Features
2019
·
Sreeraj Rajendran
, Wannes Meert
, et al.
·
IEEE Transactions on Cognitive Communications and Networking
·
103
PDF
Drone classification from RF fingerprints using deep residual nets
2021
·
Sanjoy Basak
, Sreeraj Rajendran
, et al.
·
International Conference on Communication Systems & Networks (COMSNETS)
·
98
PDF
SAIFE: Unsupervised Wireless Spectrum Anomaly Detection with Interpretable Features
2018
·
Sreeraj Rajendran
, Wannes Meert
, et al.
·
IEEE International Symposium on Dynamic Spectrum Access Networks
·
72
PDF
Learning the unknown: Improving modulation classification performance in unseen scenarios
2021
·
Erma Perenda
, Sreeraj Rajendran
, et al.
·
IEEE Conference on Computer Communications (INFOCOM)
·
44
PDF
Crowdsourced Wireless Spectrum Anomaly Detection
2019
·
Sreeraj Rajendran
, Vincent Lenders
, et al.
·
IEEE Transactions on Cognitive Communications and Networking
·
35
PDF
Electrosense+: Crowdsourcing radio spectrum decoding using IoT receivers
2020
·
Roberto Calvo-Palomino
, Héctor Cordobés
, et al.
·
Computer Networks
·
24
PDF
DySPAN Spectrum Challenge: Situational Awareness and Opportunistic Spectrum Access Benchmarked
2017
·
Felix Wunsch
, Francisco Paisana
, et al.
·
IEEE Transactions on Cognitive Communications and Networking
·
21
Localization in Ultra Narrow Band IoT Networks: Design Guidelines and Tradeoffs
2019
·
Hazem Sallouha
, Alessandro Chiumento
, et al.
·
IEEE Internet of Things Journal
·
20
PDF
Contrastive learning with self-reconstruction for channel-resilient modulation classification
2023
·
Erma Perenda
, Sreeraj Rajendran
, et al.
·
IEEE Conference on Computer Communications (INFOCOM)
·
18
PDF
Electrosense: Crowdsourcing spectrum monitoring
2017
·
Bertold Van den Bergh
, Domenico Giustiniano
, et al.
·
IEEE International Symposium on Dynamic Spectrum Access Networks
·
18
PDF
Spectrum Prediction for Protocol-Aware RF Jamming
2023
·
Sanjoy Basak
, Sreeraj Rajendran
, et al.
·
IEEE Transactions on Cognitive Communications and Networking
·
15
Autoencoder based framework for drone RF signal classification and novelty detection
2023
·
Sanjoy Basak
, Sreeraj Rajendran
, et al.
·
International Conference on Advanced Communication Technology
·
14
PDF
Evolutionary Optimization of Residual Neural Network Architectures for Modulation Classification
2021
·
Erma Perenda
, Sreeraj Rajendran
, et al.
·
IEEE Transactions on Cognitive Communications and Networking
·
14
PDF
IEEE 5G Spectrum Sharing Challenge: A Practical Evaluation of Learning and Feedback
2016
·
Sreeraj Rajendran
, Bertold Van den Bergh
, et al.
·
IEEE Communications Magazine
·
14
PDF
Saving energy in WSNs for acoustic surveillance applications while maintaining QoS
2017
·
Bart Thoen
, Geoffrey Ottoy
, et al.
·
IEEE Sensors Applications Symposium (SAS)
·
13
Multi-view contextual performance profiling in rotating machinery
2023
·
Fabian Fingerhut
, Sarah Klein
, et al.
·
IEEE Conference on Prognostics and Health Management
·
4
PDF
Unsupervised, Federated and Privacy-Preserving Detection of Anomalous Electricity Consumption in Real-World Scenarios
2022
·
Joppe W. Bos
, Michiel De Vis
, et al.
·
IEEE Sustainable Power and Energy Conference (iSPEC)
·
4
Large‐scale Wireless Spectrum Monitoring
2020
·
Sreeraj Rajendran
, Sofie Pollin
·
Wiley eBooks
·
3
CNN-based Burst Signal Detection with Covariance Matrix
2021
·
Dongho Seo
, Jiyeon Park
, et al.
·
International Conference on Information and Communication Technology Convergence (ICTC)
·
2
Demo: Electrosense - spectrum sensing with increased frequency range
2018
·
Franco Minucci
, Sreeraj Rajendran
, et al.
·
IMDEA Networks Institute Digital Repository
·
2
PDF
A multi-layered energy consumption model for smart wireless acoustic sensor networks
2018
·
Dekkers, Gert
, Rosas, Fernando
, et al.
·
arXiv (Cornell University)
·
1
PDF
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Works count:
30
Citation count:
2,051
H-index:
15
I10-index:
20
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