首页|St. Petersburg Electrotechnical University Researcher Broadens Understanding of Machine Learning (Time-Series Feature Extraction by Return Map Analysis and Its Application to Bearing-Fault Detection)
St. Petersburg Electrotechnical University Researcher Broadens Understanding of Machine Learning (Time-Series Feature Extraction by Return Map Analysis and Its Application to Bearing-Fault Detection)
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 - New research on artificial intelligenc e is the subject of a new report. According tonews reporting originating from S t. Petersburg Electrotechnical University by NewsRx correspondents,research sta ted, “Developing new features for time-series characterization is a current chal lenge in datascience and machine learning.”
St. Petersburg Electrotechnical Universi tyCyborgsEmerging TechnologiesMachine Learning