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Feature-fused residual network for time series classification

Yanxuan Wei
Mingsen Du
Teng Li
Xiangwei Zheng
Cun Ji
Publication typeJournal Article
Publication date2024-12-01
scimago Q1
wos Q1
SJR1.357
CiteScore15.8
Impact factor6.1
ISSN13191578, 22131248
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Applied Mathematics and Nonlinear Sciences
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ACM Transactions on Knowledge Discovery from Data
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Walter de Gruyter
1 publication, 33.33%
Association for Computing Machinery (ACM)
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Elsevier
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GOST |
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GOST Copy
Wei Y. et al. Feature-fused residual network for time series classification // Journal of King Saud University - Computer and Information Sciences. 2024. Vol. 36. No. 10. p. 102227.
GOST all authors (up to 50) Copy
Wei Y., Du M., Li T., Zheng X., Ji C. Feature-fused residual network for time series classification // Journal of King Saud University - Computer and Information Sciences. 2024. Vol. 36. No. 10. p. 102227.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1016/j.jksuci.2024.102227
UR - https://linkinghub.elsevier.com/retrieve/pii/S1319157824003161
TI - Feature-fused residual network for time series classification
T2 - Journal of King Saud University - Computer and Information Sciences
AU - Wei, Yanxuan
AU - Du, Mingsen
AU - Li, Teng
AU - Zheng, Xiangwei
AU - Ji, Cun
PY - 2024
DA - 2024/12/01
PB - Springer Nature
SP - 102227
IS - 10
VL - 36
SN - 1319-1578
SN - 2213-1248
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2024_Wei,
author = {Yanxuan Wei and Mingsen Du and Teng Li and Xiangwei Zheng and Cun Ji},
title = {Feature-fused residual network for time series classification},
journal = {Journal of King Saud University - Computer and Information Sciences},
year = {2024},
volume = {36},
publisher = {Springer Nature},
month = {dec},
url = {https://linkinghub.elsevier.com/retrieve/pii/S1319157824003161},
number = {10},
pages = {102227},
doi = {10.1016/j.jksuci.2024.102227}
}
MLA
Cite this
MLA Copy
Wei, Yanxuan, et al. “Feature-fused residual network for time series classification.” Journal of King Saud University - Computer and Information Sciences, vol. 36, no. 10, Dec. 2024, p. 102227. https://linkinghub.elsevier.com/retrieve/pii/S1319157824003161.