Robotics & Machine Learning Daily News2024,Issue(MAY.3) :30-31.

Researchers at Southwest Jiaotong University Target Computational Intelligence ( Transformer and Graph Convolution-based Unsupervised Detection of Machine Anomal ous Sound Under Domain Shifts)

Robotics & Machine Learning Daily News2024,Issue(MAY.3) :30-31.

Researchers at Southwest Jiaotong University Target Computational Intelligence ( Transformer and Graph Convolution-based Unsupervised Detection of Machine Anomal ous Sound Under Domain Shifts)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing - Computational Intelligence have beenpublished. According to news reportin g from Sichuan, People’s Republic of China, by NewsRx journalists,research stat ed, “Thanks to the development of deep learning, machine abnormal sound detectio n (MASD)based on unsupervised learning has exhibited excellent performance. How ever, in the task of unsupervisedMASD, there are discrepancies between the acou stic characteristics of the test set and the training setunder the physical par ameter changes (domain shifts) of the same machine’s operating conditions.”

Key words

Sichuan/People’s Republic of China/Asi a/Computational Intelligence/Machine Learning/Southwest Jiaotong University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文