Merima Kulin
Merima Kulin
Researcher at University of Ghent - imec
Verified email at
Cited by
Cited by
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
Data-driven design of intelligent wireless networks: An overview and tutorial
M Kulin, C Fortuna, E De Poorter, D Deschrijver, I Moerman
Sensors 16 (6), 790, 2016
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
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
Hardware accelerated SDR platform for adaptive air interfaces
T Kazaz, C Van Praet, M Kulin, P Willemen, I Moerman
arXiv preprint arXiv:1705.00115, 2017
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
SIP server security with TLS: Relative performance evaluation
M Kulin, T Kazaz, S Mrdovic
Telecommunications (BIHTEL), 2012 IX International Symposium on, 1-6, 2012
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
EWSN2017, the International Conference on Embedded Wireless Systems and …, 2017
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
WiSCoP-Wireless Sensor Communication Prototyping Platform
T Kazaz, X Jiao, M Kulin, I Moerman
arXiv preprint arXiv:1612.02900, 2016
A Survey on Machine Learning-Based Performance Improvement of Wireless Networks: PHY, MAC and Network Layer. Electronics 2021, 10, 318
M Kulin, T Kazaz, E De Poorter, I Moerman
s Note: MDPI stays neu-tral with regard to jurisdictional clai-ms in …, 2021
Performance optimization of next-generation data-driven wireless networks: a machine learning approach
M Kulin
Ghent University, 2020
M Kulin, AZ TUB, MC TUB, P Gawłowicz
Primjer izvedbe IMS za reprodukciju multimedijalnih sadržaja
DDS Mrdović, M Kulin
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