A novel deep learning prediction method for PM2.5 integrating improved MSTL decomposition and FATA optimization algorithm.

Zhao X, Qiao P, Bharti B, Li H, Yang S, Shi Q, Qin Q, Chen J

Open source

DOI: 10.1371/journal.pone.0358271
Published: 2026
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0358271,
  title = {A novel deep learning prediction method for PM2.5 integrating improved MSTL decomposition and FATA optimization algorithm.},
  author = {Zhao X and Qiao P and Bharti B and Li H and Yang S and Shi Q and Qin Q and Chen J},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0358271},
  url = {https://doi.org/10.1371/journal.pone.0358271}
}

RIS

TY  - JOUR
TI  - A novel deep learning prediction method for PM2.5 integrating improved MSTL decomposition and FATA optimization algorithm.
AU  - Zhao X
AU  - Qiao P
AU  - Bharti B
AU  - Li H
AU  - Yang S
AU  - Shi Q
AU  - Qin Q
AU  - Chen J
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0358271
UR  - https://doi.org/10.1371/journal.pone.0358271
ER  -

APA

X, Z., P, Q., B, B., H, L., S, Y., Q, S., Q, Q., & J, C. (2026). A novel deep learning prediction method for PM2.5 integrating improved MSTL decomposition and FATA optimization algorithm.. PloS one. https://doi.org/10.1371/journal.pone.0358271

Source records

pubmed · retrieved 2026-09-25T06:19:28.653Z
europe-pmc · retrieved 2026-09-25T06:19:28.658Z
doaj · retrieved 2026-09-25T06:19:28.634Z