Parallel reinforcement learning with minimal communication overhead for IoT environments
Camelo Miguel   Claeys Maxim   Latré Steven  
IEEE internet of things journal - ISSN 2327-4662-7:2 (2020) p. 1387-1400
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Evaluating deep neural networks to classify modulated and coded radio signals
Cheong Phui San   Camelo Miguel   Latré Steven  
Cognitive Radio Oriented Wireless Networks : 13th EAI International Conference, CROWNCOM 2018, September 1820, 2018, Ghent, Belgium-p. 177-188
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A convolutional neural network approach for classification of LPWAN technologies : Sigfox, LoRA and IEEE 802.15.4g
Shahid Adnan   Fontaine Jaron   Camelo Miguel   Haxhibeqiri Jetmir   Saelens Martijn   Khan Zaheer   Moerman Ingrid   De Poorter Eli  
16th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), 10-13 June, 2019, Boston, Massachusetts, USA-p. 1-8
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A semi-supervised learning approach towards automatic wireless technology recognition
Camelo Miguel   Shahid Adnan   Fontaine Jaron   de Figueiredo Felipe Augusto Pereira   De Poorter Eli   Moerman Ingrid   Latré Steven  
2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), 11-14 November, 2019, Newark, New Jersey, USA-p. 1-10
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Dynamic and collaborative spectrum sharing : the SCATTER approach
Giannoulis Spilios   Donato Carlos   Mennes Ruben   de Figueiredo Felipe A.P.   Jabandžić Irfan   De Bock Yorick   Camelo Miguel   Struye Jakob   Maddala Prasanthi   Mehari Michael   Shahid Adnan   Stojadinovic Dragoslav   Claeys Maxim   Mahfoudhi Farouk   Liu Wei   Seskar Ivan   Latré Steven   Moerman Ingrid  
2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), 11-14 November, 2019, Newark, New Jersey, USA-p. 1-6
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