Advances in air quality modeling through artificial intelligence, machine learning, and deep learning: A comprehensive review.
- DOI
- 10.1016/j.scitotenv.2026.181593
- Published
- 2026 Mar 15
- Container
- The Science of the total environment
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/j.scitotenv.2026.181593,
title = {Advances in air quality modeling through artificial intelligence, machine learning, and deep learning: A comprehensive review.},
author = {Nelson D and Choi Y and Payami M and Singh D and Dimri R and Kayastha SG and Shahriar S and Islam R and Salman AK and Park J},
year = {2026},
journal = {The Science of the total environment},
doi = {10.1016/j.scitotenv.2026.181593},
url = {https://doi.org/10.1016/j.scitotenv.2026.181593}
}RIS
TY - JOUR TI - Advances in air quality modeling through artificial intelligence, machine learning, and deep learning: A comprehensive review. AU - Nelson D AU - Choi Y AU - Payami M AU - Singh D AU - Dimri R AU - Kayastha SG AU - Shahriar S AU - Islam R AU - Salman AK AU - Park J PY - 2026 JO - The Science of the total environment DO - 10.1016/j.scitotenv.2026.181593 UR - https://doi.org/10.1016/j.scitotenv.2026.181593 ER -
APA
D, N., Y, C., M, P., D, S., R, D., SG, K., S, S., R, I., AK, S., & J, P. (2026). Advances in air quality modeling through artificial intelligence, machine learning, and deep learning: A comprehensive review.. The Science of the total environment. https://doi.org/10.1016/j.scitotenv.2026.181593
Source records
- pubmed · retrieved 2026-09-25T23:43:49.406Z