Low-cost video-based air quality estimation system using structured deep learning with selective state space modeling.

Ahmed M, Zhang X, Shen Y, Ahmed T, Ali S, Ali A, Gulakhmadov A, Nam WH, Chen N

Open source

DOI
10.1016/j.envint.2025.109496
Published
2025 May
Container
Environment international
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1016/j.envint.2025.109496,
  title = {Low-cost video-based air quality estimation system using structured deep learning with selective state space modeling.},
  author = {Ahmed M and Zhang X and Shen Y and Ahmed T and Ali S and Ali A and Gulakhmadov A and Nam WH and Chen N},
  year = {2025},
  journal = {Environment international},
  doi = {10.1016/j.envint.2025.109496},
  url = {https://doi.org/10.1016/j.envint.2025.109496}
}

RIS

TY  - JOUR
TI  - Low-cost video-based air quality estimation system using structured deep learning with selective state space modeling.
AU  - Ahmed M
AU  - Zhang X
AU  - Shen Y
AU  - Ahmed T
AU  - Ali S
AU  - Ali A
AU  - Gulakhmadov A
AU  - Nam WH
AU  - Chen N
PY  - 2025
JO  - Environment international
DO  - 10.1016/j.envint.2025.109496
UR  - https://doi.org/10.1016/j.envint.2025.109496
ER  - 

APA

M, A., X, Z., Y, S., T, A., S, A., A, A., A, G., WH, N., & N, C. (2025). Low-cost video-based air quality estimation system using structured deep learning with selective state space modeling.. Environment international. https://doi.org/10.1016/j.envint.2025.109496

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