Deep Learning Algorithms Used for Counter-UAS Systems

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Deep Learning Algorithms Used for Counter-UAS...
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Citadel Defense , a developer of full-spectrum counter-drone solutions, has released new software that uses deep learning neural networks to protect against hostile spoofing tactics. This capability will help U.S. and allied forces to fight against growing enemy tactics that attempt to confuse existing security intelligence equipment by using drone-based electronic warfare systems.

Citadel has integrated Generative Adversarial Networks into its Titan C-UAS (counter unmanned aerial systems) solution, using proprietary image generation algorithms to develop discrimination classification models...


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