Densely Knowledge-Aware Network for Multivariate Time Series Classification-Reference-Cited by-同舟云学术

Densely Knowledge-Aware Network for Multivariate Time Series Classification

Published:2024-04 Issue:4 Volume:54 Page:2192-2204
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Xiao Zhiwen¹^ORCID,Xing Huanlai¹^ORCID,Qu Rong²^ORCID,Feng Li¹,Luo Shouxi¹^ORCID,Dai Penglin¹^ORCID,Zhao Bowen¹^ORCID,Dai Yuanshun¹

Affiliation:

1. School of Computing and Artificial Intelligence and Engineering Research Center of Sustainable Urban Intelligent Transportation, Ministry of Education, Southwest Jiaotong University, Chengdu, China

2. School of Computer Science, University of Nottingham, Nottingham, U.K

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province

Natural Science Foundation of Sichuan Province

Fundamental Research Funds for the Central Universities, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221021/10474542/10384844.pdf?arnumber=10384844

Reference58 articles.

1. Adaptive transfer learning-based multiscale feature fused deep convolutional neural network for EEG MI multiclassification in brain–computer interface

2. Classification of EEG Signals on VEP-Based BCI Systems With Broad Learning

3. Fast and Accurate Classification of Time Series Data Using Extended ELM: Application in Fault Diagnosis of Air Handling Units

4. Deep Convolutional Neural Networks and Learning ECG Features for Screening Paroxysmal Atrial Fibrillation Patients

5. Anomaly Detection Based on Convolutional Recurrent Autoencoder for IoT Time Series

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