Sreeraj Rajendran
Sreeraj Rajendran
Data Scientist, EluciDATA Lab, Sirris
Vahvistettu sähköpostiosoite verkkotunnuksessa sirris.be - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Deep learning models for wireless signal classification with distributed low-cost spectrum sensors
S Rajendran, W Meert, D Giustiniano, V Lenders, S Pollin
IEEE Transactions on Cognitive Communications and Networking 4 (3), 433-445, 2018
2512018
Key technologies and system trade-offs for detection and localization of amateur drones
MM Azari, H Sallouha, A Chiumento, S Rajendran, E Vinogradov, S Pollin
IEEE Communications Magazine 56 (1), 51-57, 2018
622018
Electrosense: Open and big spectrum data
S Rajendran, R Calvo-Palomino, M Fuchs, B Van den Bergh, H Cordobés, ...
IEEE Communications Magazine 56 (1), 210-217, 2017
592017
SAIFE: Unsupervised wireless spectrum anomaly detection with interpretable features
S Rajendran, W Meert, V Lenders, S Pollin
2018 IEEE International Symposium on Dynamic Spectrum Access Networks …, 2018
302018
Unsupervised wireless spectrum anomaly detection with interpretable features
S Rajendran, W Meert, V Lenders, S Pollin
IEEE Transactions on Cognitive Communications and Networking 5 (3), 637-647, 2019
232019
IEEE 5G spectrum sharing challenge: A practical evaluation of learning and feedback
S Rajendran, B Van den Bergh, T Vermeulen, S Pollin
IEEE Communications Magazine 54 (11), 210-216, 2016
142016
DySPAN spectrum challenge: Situational awareness and opportunistic spectrum access benchmarked
F Wunsch, F Paisana, S Rajendran, A Selim, P Alvarez, S Müller, ...
IEEE Transactions on Cognitive Communications and Networking 3 (3), 550-562, 2017
132017
Saving energy in WSNs for acoustic surveillance applications while maintaining QoS
B Thoen, G Ottoy, F Rosas, S Lauwereins, S Rajendran, L De Strycker, ...
2017 IEEE Sensors Applications Symposium (SAS), 1-6, 2017
102017
Electrosense: Crowdsourcing spectrum monitoring
B Van den Bergh, D Giustiniano, H Cordobés, M Fuchs, ...
2017 IEEE International Symposium on Dynamic Spectrum Access Networks …, 2017
92017
Localization in ultra narrow band iot networks: Design guidelines and tradeoffs
H Sallouha, A Chiumento, S Rajendran, S Pollin
IEEE Internet of Things Journal 6 (6), 9375-9385, 2019
82019
Crowdsourced wireless spectrum anomaly detection
S Rajendran, V Lenders, W Meert, S Pollin
IEEE Transactions on Cognitive Communications and Networking 6 (2), 694-703, 2019
72019
Automatic modulation classification using parallel fusion of convolutional neural networks
E Perenda, S Rajendran, S Pollin
IEEE WIRELESS COMMUNICATIONS, 2019
42019
Electrosense+: Crowdsourcing radio spectrum decoding using IoT receivers
R Calvo-Palomino, H Cordobés, M Engel, M Fuchs, P Jain, M Liechti, ...
Computer Networks 174, 107231, 2020
32020
Drone classification from RF fingerprints using deep residual nets
S Basak, S Rajendran, S Pollin, B Scheers
2021 International Conference on COMmunication Systems & NETworkS (COMSNETS …, 2021
22021
Large‐scale Wireless Spectrum Monitoring: Challenges and Solutions based on Machine Learning
S Rajendran, S Pollin
Spectrum Sharing: The Next Frontier in Wireless Networks, 321-339, 2020
22020
Electrosense+: Empowering People to Decode the Radio Spectrum
R Calvo-Palomino, H Cordobés, M Engel, M Fuchs, P Jain, M Liechti, ...
CoRR, 2018
22018
Learning the unknown: Improving modulation classification performance in unseen scenarios
E Perenda, S Rajendran, G Bovet, S Pollin, M Zheleva
IEEE Infocom, 2020
12020
Electrosense-spectrum sensing with increased frequency range
F Minucci, B Van den Bergh, S Rajendran, D Giustiniano, ...
12018
Evolutionary Optimization of Residual Neural Network Architectures for Modulation Classification
E Perenda, S Rajendran, G Bovet, S Pollin, M Zheleva
TechRxiv, 2021
2021
Deep Learning Solutions for Large Scale Wireless Spectrum Monitoring
S Rajendran
KU Leuven, 2019
2019
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Artikkelit 1–20