SMDE: Unsupervised representation learning for time series based on signal mode decomposition and ensemble-Reference-Cited by-同舟云学术

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SMDE: Unsupervised representation learning for time series based on signal mode decomposition and ensemble

Published:2024-10 Issue: Volume:301 Page:112369
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Zhang Haobin^ORCID,Chan Shengning,Qin Si,Dong Zheng,Chen Guanghui

Publisher

Elsevier BV

Reference57 articles.

1. Machinery fault diagnosis based on deep learning for time series analysis and knowledge graphs;Liu;J. Signal Process. Syst.,2021

2. An enhanced spatio-temporal constraints network for anomaly detection in multivariate time series;Ge;Knowl.-Based Syst.,2024

3. Short-term traffic flow prediction for urban road sections based on time series analysis and LSTM_BILSTM method;Ma;IEEE Trans. Intell. Transp. Syst.,2021

4. A Bayesian-based classification framework for financial time series trend prediction;Dezhkam;J. Supercomput.,2023

5. A systematic review of time series classification techniques used in biomedical applications;Wang;Sensors,2022

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