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)

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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

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Aug.21)