Y-Net: A Dual Path Model for High Accuracy Blind Source Separation-Reference-Cited by-同舟云学术

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Y-Net: A Dual Path Model for High Accuracy Blind Source Separation

Published:2020-12 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE Globecom Workshops (GC Wkshps
language:
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Author:

Wu Huanzhuo,He Jia,Tomoskozi Mate,Fitzek Frank H.P.

Funder

Deutsche Forschungsgemeinschaft

Technische Universität Dresden

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9367371/9367388/09367428.pdf?arnumber=9367428

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Accelerating Industrial IoT Acoustic Data Separation With In-Network Computing;IEEE Internet of Things Journal;2023-03-01

2. Experimental Proof of the Energy Advantage of In-Network Intelligence;2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME);2022-11-16

3. You Only Hear Once: Lightweight In-Network AI Design for Multi-object Anomaly Detection;2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON);2022-06-14

4. In-Network Processing Acoustic Data for Anomaly Detection in Smart Factory;2021 IEEE Global Communications Conference (GLOBECOM);2021-12

5. In-Network Processing for Low-Latency Industrial Anomaly Detection in Softwarized Networks;2021 IEEE Global Communications Conference (GLOBECOM);2021-12

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