首页|期刊导航|清华大学学报自然科学版（英文版）|Accurate and Scalable Anomaly Detection in Maternal Health Monitoring Systems

Accurate and Scalable Anomaly Detection in Maternal Health Monitoring Systems

Yong Sang Wei Fang Yanwei Xu Xuyun Zhang

清华大学学报自然科学版（英文版）2026，Vol.31Issue(6)：2738-2750,13.

清华大学学报自然科学版（英文版）2026，Vol.31Issue(6)：2738-2750,13.DOI:10.26599/TST.2025.9010015

Accurate and Scalable Anomaly Detection in Maternal Health Monitoring Systems

Yong Sang ¹Wei Fang ²Yanwei Xu ³Xuyun Zhang⁴

作者信息

1. Department of Physical Education,Qufu Normal University,Rizhao 276826,China
2. School of Information Science and Engineering,Weifang University of Science and Technology,Weifang 261000
3. School of Computer Science,Peking University,Beijing 100000,China
4. School of Computing,Macquarie University,Sydney 2109,Australia
折叠

摘要

关键词

scalability/anomaly detection/maternal health monitoring/data stream/Singular Value Decomposition(SVD)

Key words

scalability/anomaly detection/maternal health monitoring/data stream/Singular Value Decomposition(SVD)

引用本文复制引用

Yong Sang,Wei Fang,Yanwei Xu,Xuyun Zhang..Accurate and Scalable Anomaly Detection in Maternal Health Monitoring Systems[J].清华大学学报自然科学版（英文版）,2026,31(6):2738-2750,13.

基金项目

This paper was supported by the Ministry of Education in China Project of Humanities and Social Sciences(No.20YJC880077). （No.20YJC880077）

清华大学学报自然科学版（英文版）

ISSN：1007-0214

访问量0

下载量0

段落导航