Robotics & Machine Learning Daily News2024,Issue(Jan.24) :18-19.

Studies Conducted at Jilin University on Intelligent Systems Recently Reported (Semhybridnet: a Semantically Enhanced Hybrid Cnn-transformer Network for Radar Pulse Image Segmentation)

Robotics & Machine Learning Daily News2024,Issue(Jan.24) :18-19.

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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Abstract

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.”

Key words

Jilin/People’s Republic of China/Asia/Intelligent Systems/Machine Learning/Jilin University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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