Abstraction-based Multi-object Acoustic Anomaly Detection for Low-complexity Big Data Analysis
Author:
Funder
Ministry of Education
Deutsche Forschungsgemeinschaft
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9473476/9473480/09473660.pdf?arnumber=9473660
Cited by 6 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
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3. Acoustic-Based Machine Anomaly Detection Using Beamforming and Sequential Transform Learning;IEEE Sensors Letters;2023-02
4. Notice of Removal: Acoustic based Machine Anomaly Detection using Beamforming and Sequential Transform Learning;2023 IEEE Applied Sensing Conference (APSCON);2023-01-23
5. You Only Hear Once: Lightweight In-Network AI Design for Multi-object Anomaly Detection;2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON);2022-06-14
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