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Self-Learning Bayesian Generative Models for Jammer Detection in Cognitive-UAV-Radios

Research article (GLOBECOM 2020 - 2020 IEEE Global Communications Conference, 2020) · cited 35× · AI/ML
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Self-Learning Bayesian Generative Models for Jammer Detection in Cognitive-UAV-Radios

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Self-Learning Bayesian Generative Models for Jammer Detection in Cognitive-UAV-Radios is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Self-Learning Bayesian Generative Models for Jammer Detection in Cognitive-UAV-Radios. Retrieved May 24, 2026, from https://4ort.xyz/entity/self-learning-bayesian-generative-models-for-jammer-detection-in-cognitive-uav-radios
MLA “Self-Learning Bayesian Generative Models for Jammer Detection in Cognitive-UAV-Radios.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/self-learning-bayesian-generative-models-for-jammer-detection-in-cognitive-uav-radios.
BibTeX @misc{4ortxyz_self-learning-bayesian-generative-models-for-jammer-detection-in-cognitive-uav-radios_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Self-Learning Bayesian Generative Models for Jammer Detection in Cognitive-UAV-Radios}}, year = {2026}, url = {https://4ort.xyz/entity/self-learning-bayesian-generative-models-for-jammer-detection-in-cognitive-uav-radios}, note = {Accessed: 2026-05-24}}
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