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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)A Novel Resource Allocation for Anti-jamming in Cognitive-UAVs: an Active Inference Approach., , , , и . CoRR, (2022)Jammer detection in M-QAM-OFDM by learning a Dynamic Bayesian Model for the Cognitive Radio., , , , , и . EUSIPCO, стр. 1-5. IEEE, (2019)Smart cameras with onboard signcryption for securing IoT applications., , и . GIoTS, стр. 1-6. IEEE, (2017)Aggregate-Signcryption for Securing Smart Camera IoT Applications., , , и . GIoTS, стр. 1-6. IEEE, (2018)Secure Smart Cameras by Aggregate-Signcryption with Decryption Fairness for Multi-Receiver IoT Applications., , и . Sensors, 19 (2): 327 (2019)A particle filter based sequential trajectory classifier for behavior analysis in video surveillance., , и . ICIP, стр. 3690-3694. IEEE, (2015)Jammer detection algorithm for wide-band radios using spectral correlation and neural networks., , , , и . IWCMC, стр. 246-251. IEEE, (2017)Exploiting an event based state estimator in presence of sparse measurements in video analytics., , , и . ICASSP, стр. 1871-1875. IEEE, (2014)Defense against stealthy jamming attacks in wide-band radios: A physical layer approach., , и . GlobalSIP, стр. 497-501. IEEE, (2017)