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Pu-Yun Kow

Showing results (1-10 of 5) with videos related to

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Journal of Environmental Management|January 27, 2022
Real-time image-based air quality estimation by deep learning neural networksPu-Yun Kow, I-Wen Hsia, Li-Chiu Chang, et al.
Journal of Environmental Management|December 15, 2023
Watershed groundwater level multistep ahead forecasts by fusing convolutional-based autoencoder and LSTM modelsPu-Yun Kow, Jia-Yi Liou, Wei Sun, et al.
Bioresource Technology|December 2, 2022
Develop a hybrid machine learning model for promoting microbe biomass productionPu-Yun Kow, Mei-Kuang Lu, Meng-Hsin Lee, et al.
Environmental Pollution (Barking, Essex : 1987)|April 29, 2022
Deep neural networks for spatiotemporal PM<sub>2.5</sub> forecasts based on atmospheric chemical transport model output and monitoring dataPu-Yun Kow, Li-Chiu Chang, Chuan-Yao Lin, et al.
The Science of the Total Environment|April 9, 2024
Advancing climate-resilient flood mitigation: Utilizing transformer-LSTM for water level forecasting at pumping stationsPu-Yun Kow, Jia-Yi Liou, Ming-Ting Yang, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Journal of Environmental Management|January 27, 2022
Real-time image-based air quality estimation by deep learning neural networksPu-Yun Kow, I-Wen Hsia, Li-Chiu Chang, et al.
Journal of Environmental Management|December 15, 2023
Watershed groundwater level multistep ahead forecasts by fusing convolutional-based autoencoder and LSTM modelsPu-Yun Kow, Jia-Yi Liou, Wei Sun, et al.
Bioresource Technology|December 2, 2022
Develop a hybrid machine learning model for promoting microbe biomass productionPu-Yun Kow, Mei-Kuang Lu, Meng-Hsin Lee, et al.
Environmental Pollution (Barking, Essex : 1987)|April 29, 2022
Deep neural networks for spatiotemporal PM<sub>2.5</sub> forecasts based on atmospheric chemical transport model output and monitoring dataPu-Yun Kow, Li-Chiu Chang, Chuan-Yao Lin, et al.
The Science of the Total Environment|April 9, 2024
Advancing climate-resilient flood mitigation: Utilizing transformer-LSTM for water level forecasting at pumping stationsPu-Yun Kow, Jia-Yi Liou, Ming-Ting Yang, et al.
Pageof 1