首页|Researchers at Southwest Jiaotong University Target Computational Intelligence ( Transformer and Graph Convolution-based Unsupervised Detection of Machine Anomal ous Sound Under Domain Shifts)
Researchers at Southwest Jiaotong University Target Computational Intelligence ( Transformer and Graph Convolution-based Unsupervised Detection of Machine Anomal ous Sound Under Domain Shifts)
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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.”
SichuanPeople’s Republic of ChinaAsi aComputational IntelligenceMachine LearningSouthwest Jiaotong University
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