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Deep neural networks for spatiotemporal PM2.5 forecasts based on atmospheric chemical transport model output and monitoring data.
Environ Pollut. 2022 Aug 1;306:119348. doi: 10.1016/j.envpol.2022.119348. Epub 2022 Apr 26.
Environ Pollut. 2022.
PMID: 35487466
Real-time image-based air quality estimation by deep learning neural networks.
Kow PY, Hsia IW, Chang LC, Chang FJ.
Kow PY, et al.
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
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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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