首页|Studies Conducted at Jilin University on Intelligent Systems Recently Reported (Semhybridnet: a Semantically Enhanced Hybrid Cnn-transformer Network for Radar Pulse Image Segmentation)
Studies Conducted at Jilin University on Intelligent Systems Recently Reported (Semhybridnet: a Semantically Enhanced Hybrid Cnn-transformer Network for Radar Pulse Image Segmentation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning - Intelligent Systems. Accordingto news reporting originating in Jilin, People’s Republic of China, by NewsRx journalists, research stated,“Radar signal sorting is a vital component of electronic warfare reconnaissance, serving as the basis foridentifying the source of radar signals. However, traditional radar signal sorting methods are increasinglyinadequate and computationally complex in modern electromagnetic environments.”
JilinPeople’s Republic of ChinaAsiaIntelligent SystemsMachine LearningJilin University
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