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Two papers on machine learning for intelligent radio accepted

Two papers, by Jin Wei, Gihan Mendis and Arjuna Madanayake, have been accepted at 2017 Wireless Innovation Forum Conference on Communications Technologies and Software Defined Radio (WinnComm).

The papers are 1) Deep Learning-based Intelligent Method for Automatic Modulation Classification in Cognitive Radios, and 2) Deep Learning-based Cognitive Radar System for Micro-UAS Detection and Classification.

By arjuna

I am an Assistant Professor at the Department of Electrical and Computer Engineering.

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