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Uplink NOMA signal transmission with convolutional neural networks approach被引量:3
《Journal of Systems Engineering and Electronics》2020年第5期890-898,共9页LIN Chuan CHANG Qing LI Xianxu 
supported by the National Natural Science Foundation of China (61471021)。
Non-orthogonal multiple access(NOMA), featuring high spectrum efficiency, massive connectivity and low latency, holds immense potential to be a novel multi-access technique in fifth-generation(5G) communication. Succe...
关键词:non-orthogonal multiple access(NOMA) deep learning(DL) convolutional neural networks(CNNs) signal detection 
Attributes-based person re-identification via CNNs with coupled clusters loss被引量:1
《Journal of Systems Engineering and Electronics》2020年第1期45-55,共11页SUN Rui HUANG Qiheng FANGWei ZHANG Xudong 
supported by the National Natural Science Foundation of China(61471154;61876057);the Fundamental Research Funds for Central Universities(JZ2018YYPY0287)
Person re-identification(re-id)involves matching a person across nonoverlapping views,with different poses,illuminations and conditions.Visual attributes are understandable semantic information to help improve the iss...
关键词:person re-identification(re-id) convolutions neural network(CNN) attributes coupled clusters loss(CCL) 
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