Hybrid attention based deep learning for forecasting boundary layer ozone using satellite derived profiles.
- DOI
- 10.1016/j.ecoenv.2025.119593
- Published
- 2026 Jan 1
- Container
- Ecotoxicology and environmental safety
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ecoenv.2025.119593,
title = {Hybrid attention based deep learning for forecasting boundary layer ozone using satellite derived profiles.},
author = {Band SS and Qasem SN and Ramezani J and Abbaspour M and Pai HT and Gupta BB and Mansor Z and Mosavi A},
year = {2026},
journal = {Ecotoxicology and environmental safety},
doi = {10.1016/j.ecoenv.2025.119593},
url = {https://doi.org/10.1016/j.ecoenv.2025.119593}
}RIS
TY - JOUR TI - Hybrid attention based deep learning for forecasting boundary layer ozone using satellite derived profiles. AU - Band SS AU - Qasem SN AU - Ramezani J AU - Abbaspour M AU - Pai HT AU - Gupta BB AU - Mansor Z AU - Mosavi A PY - 2026 JO - Ecotoxicology and environmental safety DO - 10.1016/j.ecoenv.2025.119593 UR - https://doi.org/10.1016/j.ecoenv.2025.119593 ER -
APA
SS, B., SN, Q., J, R., M, A., HT, P., BB, G., Z, M., & A, M. (2026). Hybrid attention based deep learning for forecasting boundary layer ozone using satellite derived profiles.. Ecotoxicology and environmental safety. https://doi.org/10.1016/j.ecoenv.2025.119593
Source records
- pubmed · retrieved 2026-09-26T16:44:00.649Z