首页|Study Findings from Curtin University Provide New Insights into Machine Learning (Structural Damage Detection and Localization Via an Unsupervised Anomaly Detec tion Method)
Study Findings from Curtin University Provide New Insights into Machine Learning (Structural Damage Detection and Localization Via an Unsupervised Anomaly Detec tion Method)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting out of Perth, Austral ia, by NewsRx editors, research stated, “This study introduces anunsupervised m achine learning framework for damage detection and localization in Structural He althMonitoring (SHM), leveraging dynamic graph convolutional neural networks an d Transformer networks.”
PerthAustraliaAustralia and New Zeal andCyborgsEmerging TechnologiesMachine LearningCurtin University