Deep-learning-based stream-sensing method for detecting asynchronous multiple signals

HIGHLIGHTS

  • who: Yeongjun Kim and Harim Lee from the Department of Electrical Engineering, Ulsan National Institute of Science and Technology (UNIST) have published the article: Deep-Learning-Based Stream-Sensing Method for Detecting Asynchronous Multiple Signals, in the Journal: (JOURNAL) of 27/04/2022
  • what: In this paper a novel deep-learning-based multi-source detection scheme is proposed for the scenario in which an UAV wants to estimate the number of survivors sending rescue within its coverage in a disaster site. To overcome the limitations of these existing technologies the authors propose a lightweight deep . . .

     

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