Long-short-term decoupled residual learning for high-resolution spatio-temporal air quality inference.
- DOI
- 10.1016/j.neunet.2026.109575
- Published
- 2026 Sep 1
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109575,
title = {Long-short-term decoupled residual learning for high-resolution spatio-temporal air quality inference.},
author = {Zheng H and Huang J and Chen H and Xiao Z and Chen N and Ding X},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109575},
url = {https://doi.org/10.1016/j.neunet.2026.109575}
}RIS
TY - JOUR TI - Long-short-term decoupled residual learning for high-resolution spatio-temporal air quality inference. AU - Zheng H AU - Huang J AU - Chen H AU - Xiao Z AU - Chen N AU - Ding X PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109575 UR - https://doi.org/10.1016/j.neunet.2026.109575 ER -
APA
H, Z., J, H., H, C., Z, X., N, C., & X, D. (2026). Long-short-term decoupled residual learning for high-resolution spatio-temporal air quality inference.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109575
Source records
- pubmed · retrieved 2026-09-25T21:46:27.668Z