首页|Researchers at Democritus University of Thrace Have Published New Data on Machin e Learning (Machine Learning for Anomaly Detection in Industrial Environments)
Researchers at Democritus University of Thrace Have Published New Data on Machin e Learning (Machine Learning for Anomaly Detection in Industrial Environments)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news originating from Kavala, Greece, by Ne wsRx editors, the research stated, “In modern industry, anomaly detection is an important part of safety and productivity management.” Our news reporters obtained a quote from the research from Democritus University of Thrace: “Early anomaly detection could allow for timely interventions, preve nting malfunctions and reducing risks for human workers and machines. This work aims to deliver an overview of the use of machine learning for anomaly detection in industrial environments, highlight the state-of-the-art, and discuss challen ges and prospects for future research. Existing approaches, methodologies, and r esults related to anomaly detection are summarized, focusing on the application of machine learning for different types of industrial anomalies.”
Democritus University of ThraceKavalaGreeceEuropeCyborgsEmerging TechnologiesMachine Learning
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