End-to-end Learning from Spectrum Data: A Deep Learning approach for Wireless Signal Identification in Spectrum Monitoring applications M Kulin, T Kazaz, I Moerman, E de Poorter IEEE Access 6, 18484 - 18501, 2018 | 386 | 2018 |
A survey on machine learning-based performance improvement of wireless networks: PHY, MAC and network layer M Kulin, T Kazaz, E De Poorter, I Moerman Electronics 10 (3), 318, 2021 | 102 | 2021 |
Delay estimation for ranging and localization using multiband channel state information T Kazaz, GJM Janssen, J Romme, AJ Van der Veen IEEE Transactions on Wireless Communications 21 (4), 2591-2607, 2021 | 63 | 2021 |
Wireless technology recognition based on RSSI distribution at sub-Nyquist sampling rate for constrained devices W Liu, M Kulin, T Kazaz, A Shahid, I Moerman, E De Poorter Sensors 17 (9), 2081, 2017 | 43 | 2017 |
Hardware accelerated SDR platform for adaptive air interfaces T Kazaz, C Van Praet, M Kulin, P Willemen, I Moerman ETSI Workshop on Future Radio Technologies: Air Interfaces, 1-10, 2016 | 28 | 2016 |
A USRP-based testbed for wideband ranging and positioning signal acquisition C Diouf, GJM Janssen, H Dun, T Kazaz, CCJM Tiberius IEEE Transactions on Instrumentation and Measurement 70, 1-15, 2021 | 23 | 2021 |
Design and implementation of SDR based QPSK modulator on FPGA T Kazaz, M Kulin, M Hadzialic 2013 36th International Convention on Information and Communication …, 2013 | 22 | 2013 |
SIP server security with TLS: Relative performance evaluation M Kulin, T Kazaz, S Mrdovic 2012 IX International Symposium on Telecommunications (BIHTEL), 1 - 6, 2012 | 22 | 2012 |
A 400 Msps SDR platform for prototyping accurate wideband ranging techniques C Diouf, GJM Janssen, T Kazaz, H Dun, F Chamanzadeh, CCJM Tiberius 2019 16th Workshop on Positioning, Navigation and Communications (WPNC), 1-6, 2019 | 15 | 2019 |
Multiresolution time-of-arrival estimation from multiband radio channel measurements T Kazaz, RT Rajan, GJM Janssen, AJ van der Veen ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 12 | 2019 |
Poster: Towards a Cognitive MAC Layer: Predicting the MAC-level Performance in Dynamic WSN using Machine Learning. M Kulin, E De Poorter, T Kazaz, I Moerman EWSN, 214-215, 2017 | 12 | 2017 |
Farrow structured variable fractional delay lagrange filters with improved midpoint response H Li, G Torfs, T Kazaz, J Bauwelinck, P Demeester 40th International Conference on Telecommunications and Signal Processing (TSP), 2017 | 10 | 2017 |
Joint blind calibration and time-delay estimation for multiband ranging T Kazaz, M Coutino, GJM Janssen, AJ van der Veen ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 7 | 2020 |
Joint Ranging and Clock Synchronization for Dense Heterogeneous IoT Networks T Kazaz, M Coutino, GJM Janssen, G Leus, AJ van der Veen 2018 52nd Asilomar Conference on Signals, Systems, and Computers, 2018 | 7 | 2018 |
Time Delay Estimation from Multiband Radio Channel Samples in Nonuniform Noise T Kazaz, GJM Janssen, AJ van der Veen 53rd Asilomar Conference on Signals, Systems, and Computers 2019, 2019 | 6 | 2019 |
One approach to the development of custom SNMP agents and integration with management systems T Kazaz, M Kulin, E Kaljić, T Čaršimanović 2012 Proceedings of the 35th International Convention MIPRO, 557-561, 2012 | 6 | 2012 |
Demonstration of a decimeter-level accurate hybrid optical-wireless terrestrial positioning system C Diouf, H Dun, T Kazaz, G Janssen, C Tiberius Proceedings of the 33rd International Technical Meeting of the Satellite …, 2020 | 5 | 2020 |
WiSCoP-Wireless Sensor Communication Prototyping Platform T Kazaz, X Jiao, M Kulin, I Moerman EWSN'17 - International Conference on Embedded Wireless Systems and Networks …, 2017 | 5 | 2017 |
MAC-level performance dataset for 802.15. 4 WSNs K Merima, E De Poorter, T Kazaz, I Moerman Avaliable online: https://zenodo. org/record/228613#. XBr7OcQRWMo (accessed …, 2017 | 5 | 2017 |
Towards a cognitive MAC layer: Predicting the MAC-level performance in Dynamic WSN using Machine learning M Kulin, E De Poorter, T Kazaz, I Moerman arXiv preprint arXiv:1612.03932, 2016 | 4 | 2016 |