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Learning a Switching Bayesian Model for Jammer Detection in the Cognitive-Radio-Based Internet of Things.

, , , , , and . WF-IoT, page 380-385. IEEE, (2019)

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A neural network approach for moving objects recognition in color image sequences for surveillance applications., , and . NSIP, page 28-32. Bogaziçi University Printhouse, (1999)Moving objects self-generated illumination variations removal for automatic video-surveillance systems., , and . VCIP, volume 5150 of Proceedings of SPIE, page 414-421. SPIE, (2003)Embodied Cognition-Based Distributed Spectrum Sensing for Autonomic Wireless Systems., , , and . Autonomic Computing and Networking, Springer, (2009)Interaction Analysis with a Bayesian Trajectory Model., and . IEEE Intelligent Systems, 25 (3): 32-40 (2010)Representation and Learning of Structured Dynamic Bayesian Models in Non Stationary Environments.. DCNET, page 5. SciTePress, (2017)Cooperative multisensor system for real-time face detection and tracking in uncontrolled conditions., , , , and . Electronic Imaging: Image and Video Communications and Processing, volume 5685 of SPIE Proceedings, SPIE, (2005)A Cognitive Control-Inspired Approach to Object Tracking., , , and . IEEE Trans. Image Processing, 25 (6): 2697-2711 (2016)Exploiting ST-Based Representation for High Sampling Rate Dynamic Signals., , , , and . WIDECOM, volume 27 of Lecture Notes on Data Engineering and Communications Technologies, page 203-217. Springer, (2019)Comparison among Cognitive Radio Architectures for Spectrum Sensing., , , and . EURASIP J. Wireless Comm. and Networking, (2011)Spectrum sensing: A distributed approach for cognitive terminals., and . IEEE J. Sel. Areas Commun., 25 (3): 546-557 (2007)