@article{mokhtari:hal-03118464, TITLE = {{Uncertainty-Aware Deep Learning Architectures for Highly Dynamic Air Quality Prediction}}, AUTHOR = {Mokhtari, Ichrak and Bechkit, Walid and Rivano, Herv{\'e} and Yaici, Mouloud Riadh}, URL = {https://inria.hal.science/hal-03118464}, JOURNAL = {{IEEE Access}}, PUBLISHER = {{IEEE}}, PAGES = {1-14}, YEAR = {2021}, MONTH = Jan, DOI = {10.1109/ACCESS.2021.3052429}, KEYWORDS = {Conv-LSTM ; spatio-temporel prediction ; highly dynamic air quality ; accidental pollutant release ; uncertainty ; FFT-07 ; WSN.}, PDF = {https://inria.hal.science/hal-03118464v2/file/IEEE_Access_Article_revised_version_10.pdf}, HAL_ID = {hal-03118464}, HAL_VERSION = {v2}, }