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Skip Abstract Section Abstract Skip Table Of Content Section Select All SESSION: Session 1: Machine Learning enabled Attacks SESSION: Session 2: Machine Learning based Applications DetecSHUN: Detection of Signals Hidden Under the Noise Nathaniel Rowe, Dola Saha Precise detection of the presence of a signal in low signal-to-noise ratio (SNR) environments has significance in many wireless applications, such as primary user detection in a dynamic spectrum access (DSA) model, localization of...
Open AccessCommunication by Minhoe Kim 1 and Woongsup Lee 2,* 1 Computer and Information Science Department, Korea University, Sejong-ro, Sejong 2511, Republic of Korea 2 Graduate School of Information, Yonsei University, Seoul 03722, Republic of Korea * Author to whom correspondence should be addressed.
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