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Jammer detection in M-QAM-OFDM by learning a Dynamic Bayesian Model for the Cognitive Radio., , , , , и . EUSIPCO, стр. 1-5. IEEE, (2019)Collective Awareness for Abnormality Detection in Connected Autonomous Vehicles., , , , , , , и . CoRR, (2020)A Cognitive Control-Inspired Approach to Object Tracking., , , и . IEEE Trans. Image Processing, 25 (6): 2697-2711 (2016)Exploiting ST-Based Representation for High Sampling Rate Dynamic Signals., , , , и . WIDECOM, том 27 из Lecture Notes on Data Engineering and Communications Technologies, стр. 203-217. Springer, (2019)Privacy-Aware Human Activity Recognition From a Wearable Camera: Highlights From the IEEE Video And Image Processing Cup 2019 Student Competition SP Competitions., , , , и . IEEE Signal Process. Mag., 37 (3): 168-172 (2020)Moving objects self-generated illumination variations removal for automatic video-surveillance systems., , и . VCIP, том 5150 из Proceedings of SPIE, стр. 414-421. SPIE, (2003)Randomized Binary Consensus with Faulty Agents., и . Entropy, 16 (5): 2820-2838 (2014)Jammer detection algorithm for wide-band radios using spectral correlation and neural networks., , , , и . IWCMC, стр. 246-251. IEEE, (2017)A particle filter based sequential trajectory classifier for behavior analysis in video surveillance., , и . ICIP, стр. 3690-3694. IEEE, (2015)Defense against stealthy jamming attacks in wide-band radios: A physical layer approach., , и . GlobalSIP, стр. 497-501. IEEE, (2017)