|
"kow pu yun"的相關文件
顯示項目 1-25 / 27 (共2頁)
1 2 > >>
每頁顯示[10|25|50]項目
| 淡江大學 |
2026-02-24 |
An Application of Deep Learning in the Zhuoshui River Basin for Multi-Station PM10 Forecast
|
Kow, Pu Yun;Chang, Fi-John;Hsu, Chia-Yu;Sun, Wei;Wang, Yun-Ting |
| 淡江大學 |
2025-11-10 |
A speech enhancement method using Fast Fourier Transform and Convolutional Autoencoder
|
Kow, Pu-Yun;Kow, Pu-Zhao |
| 淡江大學 |
2025-11 |
A CNN-transformer framework for air quality forecasting to support aeolian dust management in river basins
|
Kow, Pu-Yun;Hsu, Chia-Yu;Sun, Wei;Wang, Yun-Ting;Chang, Li-Chiu;Chang, Fi-John |
| 淡江大學 |
2025-07 |
Advanced groundwater level forecasting with hybrid deep learning model: Tackling water challenges in Taiwan’s largest alluvial fan
|
Chang, Yu-Wen;Sun, Wei;Kow, Pu-Yun;Lee, Meng-Hsin;Chang, Li-Chiu;Chang, Fi-John |
| 淡江大學 |
2025-05-29 |
Intelligent Urban Flood Management Using Real-Time Forecasting, Multi-Objective Optimization, and Adaptive Pump Operation
|
Chang, Li-Chiu;Yang, Ming-Ting;Liou, Jia-Yi;Kow, Pu-Yun;Chang, Fi-John |
| 淡江大學 |
2025-05-25 |
AI-driven weather downscaling for smart agriculture using autoencoders and transformers
|
Kow, Pu-Yun;Wang, Yun-Ting;Chang, Yu-Wen;Lee, Meng-Hsin;Yao, Ming-Hwi;Chang, Li-Chiu;Chang, Fi-John |
| 淡江大學 |
2024-12-13 |
An Artificial Intelligence-Powered Environmental Control System for Resilient and Efficient Greenhouse Farming
|
Lee, Meng-Hsin;Yao, Ming-Hwi;Kow, Pu-Yun;Kuo, Bo-Jein;Chang, Fi-John |
| 淡江大學 |
2024-06 |
Advancing climate-resilient flood mitigation: Utilizing transformer-LSTM for water level forecasting at pumping stations
|
Kow, Pu-Yun;Liou, Jia-Yi;Yang, Ming-Ting;Lee, Meng-Hsin;Chang, Li-Chiu;Chang, Fi-John |
| 淡江大學 |
2024-04-14 |
AI-Driven Hydro-Insights: Proactive Water Resource Management for Sustainable Agriculture in the Face of Climate Change
|
Kow, Pu Yun;Chang, Yu-Wen;Chang, Fi-John |
| 淡江大學 |
2024-04-07 |
Advancing climate-resilient flood mitigation: Utilizing transformer-LSTM for water level forecasting at pumping stations
|
Kow, Pu-Yun;Liou, Jia-Yi;Yang, Ming-Ting;Lee, Meng-Hsin;Chang, Li-Chiu;Chang, Fi-John |
| 淡江大學 |
2024-02 |
Watershed groundwater level multistep ahead forecasts by fusing convolutional-based autoencoder and LSTM models
|
Kow, Pu-Yun;Liou, Jia-Yi;Sun, Wei;Chang, Li-Chiu;Chang, Fi-John |
| 淡江大學 |
2023-12-25 |
High-spatiotemporal-resolution PM2.5 forecasting by hybrid deep learning models with ensembled massive heterogeneous monitoring data
|
Wu, Kuan-Yen;Hsia, I-Wen;Kow, Pu-Yun;Chang, Li-Chiu;Chang, Fi-John |
| 淡江大學 |
2023-12-14 |
Watershed groundwater level multistep ahead forecasts by fusing convolutional-based autoencoder and LSTM models
|
Kow, Pu-Yun;Liou, Jia-Yi;Sun, Wei;Chang, Li-Chiu;Chang, Fi-John |
| 淡江大學 |
2023-10-22 |
A Vision of Agriculture 4.0: Constructing Smart Agriculture through Artificial Intelligent
|
Kow, Pu-Yun;Lee, Meng-Hsin;Chang, Fi-John |
| 淡江大學 |
2023-08-01T04:05:14Z |
Real-time image-based air quality estimation by deep learning neural networks
|
Kow, Pu-Yun;Hsia, I-Wen;Chang, Li-Chiu;Chang, Fi-John |
| 淡江大學 |
2023-05-11T04:05:13Z |
Seamless integration of convolutional and back-propagation neural networks for regional multi-step-ahead PM2.5 forecasting
|
Kow, Pu-Yun;Wang, Yi-Shin;Zhou, Yanlai;Kao, I-Feng;Issermann, Maikel;Chang, Li-Chiu;Chang, Fi-John |
| 淡江大學 |
2023-02 |
Develop a hybrid machine learning model for promoting microbe biomass production
|
Kow, Pu-Yun;Lu, Mei-Kuang;Lee, Meng-Hsin;Lu, Wei-Bin;Chang, Fi-John |
| 淡江大學 |
2022-12-30 |
Integrate deep learning and physically-based models for multi-step-ahead microclimate forecasting
|
Kow, Pu-Yun;Lee, Meng-Hsin;Sun, Wei;Yao, Ming-Hwi;Chang, Fi-John |
| 淡江大學 |
2022-12-12 |
A study on spatiotemporal groundwater level forecasting by a hybridization of machine learning and physically-based models
|
Kow, Pu Yun;Liou, Jia-Yi;Chang, Fi-John |
| 淡江大學 |
2022-08 |
Deep neural networks for spatiotemporal PM2.5 forecasts based on atmospheric chemical transport model output and monitoring data
|
Kow, Pu-Yun;Chang, Li-Chiu;Lin, Chuan-Yao;Chou, Charles C.-K.;Chang, Fi-John |
| 臺大學術典藏 |
2022-06-14T23:24:35Z |
Deep neural networks for spatiotemporal PM2.5 forecasts based on atmospheric chemical transport model output and monitoring data
|
Kow, Pu Yun; Chang, Li Chiu; Lin, Chuan Yao; Chou, Charles C.K.; FI-JOHN CHANG |
| 淡江大學 |
2022-04 |
Real-time image-based air quality estimation by deep learning neural networks
|
Kow, Pu-Yun;Hsia, I-Wen;Chang, Li-Chiu;Chang, Fi-John |
| 臺大學術典藏 |
2022-02-14T23:56:20Z |
Real-time image-based air quality estimation by deep learning neural networks
|
Kow, Pu Yun; Hsia, I. Wen; Chang, Li Chiu; FI-JOHN CHANG |
| 淡江大學 |
2021-03-20 |
Interactive urban building energy modelling with functional mockup interface of a local residential building stock
|
Issermann, Maikel;Chang, Fi-John;Kow, Pu-Yun |
| 臺大學術典藏 |
2021-01-18T09:12:25Z |
Interactive urban building energy modelling with functional mockup interface of a local residential building stock
|
Issermann, Maikel; FI-JOHN CHANG; Kow, Pu Yun |
顯示項目 1-25 / 27 (共2頁)
1 2 > >>
每頁顯示[10|25|50]項目
|
