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Real-time image-based air quality estimation by deep learning neural networks.
J Environ Manage. 2022 Apr 1;307:114560. doi: 10.1016/j.jenvman.2022.114560. Epub 2022 Jan 24.
J Environ Manage. 2022.
PMID: 35085968
Deep neural networks for spatiotemporal PM2.5 forecasts based on atmospheric chemical transport model output and monitoring data.
Kow PY, Chang LC, Lin CY, Chou CC, Chang FJ.
Kow PY, et al.
Environ Pollut. 2022 Aug 1;306:119348. doi: 10.1016/j.envpol.2022.119348. Epub 2022 Apr 26.
Environ Pollut. 2022.
PMID: 35487466
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Advancing climate-resilient flood mitigation: Utilizing transformer-LSTM for water level forecasting at pumping stations.
Kow PY, Liou JY, Yang MT, Lee MH, Chang LC, Chang FJ.
Kow PY, et al.
Sci Total Environ. 2024 Jun 1;927:172246. doi: 10.1016/j.scitotenv.2024.172246. Epub 2024 Apr 7.
Sci Total Environ. 2024.
PMID: 38593878
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Watershed groundwater level multistep ahead forecasts by fusing convolutional-based autoencoder and LSTM models.
Kow PY, Liou JY, Sun W, Chang LC, Chang FJ.
Kow PY, et al.
J Environ Manage. 2024 Feb;351:119789. doi: 10.1016/j.jenvman.2023.119789. Epub 2023 Dec 14.
J Environ Manage. 2024.
PMID: 38100860
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Develop a hybrid machine learning model for promoting microbe biomass production.
Kow PY, Lu MK, Lee MH, Lu WB, Chang FJ.
Kow PY, et al.
Bioresour Technol. 2023 Feb;369:128412. doi: 10.1016/j.biortech.2022.128412. Epub 2022 Nov 29.
Bioresour Technol. 2023.
PMID: 36460178
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