A time series anomaly detection method based on series-parallel transformers with spatial and temporal association discrepancies-Reference-Cited by-同舟云学术

A time series anomaly detection method based on series-parallel transformers with spatial and temporal association discrepancies

Published:2024-02 Issue: Volume:657 Page:119978
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Fu Shiyuan,Gao Xin,Zhai Feng,Li Baofeng,Xue Bing,Yu Jiahao,Meng Zhihang,Zhang Guangyao

Funder

Science and Technology Project of State Grid

State Grid Corporation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference50 articles.

1. Deep learning for anomaly detection: a review;Pang;ACM Comput. Surv.,2021

2. An explainable deep learning-enabled intrusion detection framework in IoT networks;Keshk;Inf. Sci.,2023

3. A survey of anomaly detection techniques in financial domain;Ahmed;Future Gener. Comput. Syst.,2016

4. A survey on urban traffic anomalies detection algorithms;Djenouri;IEEE Access,2019

5. Adapted k-nearest neighbors for detecting anomalies on spatio-temporal traffic flow;Djenouri;IEEE Access,2019

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Separable contextual graph neural networks to identify tailgating-oriented traffic congestion;Expert Systems with Applications;2024-11

2. Hydraulic system fault diagnosis decoupling method based on 2D time-series modeling and self-attention fusion;Scientific Reports;2024-07-07

3. Unraveling the ‘Anomaly’ in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

4. AI-Enhanced Gas Flares Remote Sensing and Visual Inspection: Trends and Challenges;IEEE Access;2024