Robotics & Machine Learning Daily News2024,Issue(Feb.5) :9-10.DOI:10.1007/s40747-023-01306-x

Findings from Central China Normal University Reveals New Findings on Intelligent Systems (An Enhanced Abnormal Information Expression Spatiotemporal Model for Anomaly Detection In Multivariate Time-series)

Robotics & Machine Learning Daily News2024,Issue(Feb.5) :9-10.DOI:10.1007/s40747-023-01306-x

Findings from Central China Normal University Reveals New Findings on Intelligent Systems (An Enhanced Abnormal Information Expression Spatiotemporal Model for Anomaly Detection In Multivariate Time-series)

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Abstract

Investigators publish new report on Machine Learning - Intelligent Systems. According to news reporting originating from Wuhan, People's Republic of China, by NewsRx correspondents, research stated, “The detection of anomalies in high-dimensional time-series has always played a crucial role in the domain of system security. Recently, with rapid advancements in transformer model and graph neural network (GNN) technologies, spatiotemporal modeling approaches for anomaly detection tasks have been greatly improved.” Financial supporters for this research include National Natural Science Foundation of China (NSFC), Centre for Research in Cyber Security, Singapore University of Technology and Design.

Key words

Wuhan/People’s Republic of China/Asia/Intelligent Systems/Machine Learning/Cybersecurity/Central China Normal University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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参考文献量45
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