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The Science of the Total Environment
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December 9, 2019
Explore a Multivariate Bayesian Uncertainty Processor driven by artificial neural networks for probabilistic PM<sub>2.5</sub> forecasting
Yanlai Zhou, Li-Chiu Chang, Fi-John Chang
The Science of the Total Environment
|
January 23, 2009
Forecasting of ozone episode days by cost-sensitive neural network methods
Che-Hui Tsai, Li-Chiu Chang, Hsu-Cherng Chiang
IEEE Transactions on Neural Networks and Learning Systems
|
May 9, 2014
Reinforced two-step-ahead weight adjustment technique for online training of recurrent neural networks
Li-Chiu Chang, Pin-An Chen, Fi-John Chang
Journal of Environmental Management
|
March 8, 2025
Flood resilience through hybrid deep learning: Advanced forecasting for Taipei's urban drainage system
Li-Chiu Chang, Ming-Ting Yang, Fi-John Chang
Environmental Management
|
November 17, 2020
Explore Regional PM2.5 Features and Compositions Causing Health Effects in Taiwan
Yi-Shin Wang, Li-Chiu Chang, Fi-John Chang
The Science of the Total Environment
|
April 22, 2016
Estimating spatio-temporal dynamics of stream total phosphate concentration by soft computing techniques
Fi-John Chang, Pin-An Chen, Li-Chiu Chang, et al.
The Science of the Total Environment
|
May 2, 2017
Conservation of groundwater from over-exploitation-Scientific analyses for groundwater resources management
Fi-John Chang, Chien-Wei Huang, Su-Ting Cheng, et al.
Journal of Environmental Management
|
January 27, 2022
Real-time image-based air quality estimation by deep learning neural networks
Pu-Yun Kow, I-Wen Hsia, Li-Chiu Chang, et al.
The Science of the Total Environment
|
June 3, 2020
Explore spatio-temporal PM2.5 features in northern Taiwan using machine learning techniques
Fi-John Chang, Li-Chiu Chang, Che-Chia Kang, et al.
Journal of Environmental Management
|
December 15, 2023
Watershed groundwater level multistep ahead forecasts by fusing convolutional-based autoencoder and LSTM models
Pu-Yun Kow, Jia-Yi Liou, Wei Sun, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 15) with videos related to
Sort By:
Page
of 2
The Science of the Total Environment
|
December 9, 2019
Explore a Multivariate Bayesian Uncertainty Processor driven by artificial neural networks for probabilistic PM<sub>2.5</sub> forecasting
Yanlai Zhou, Li-Chiu Chang, Fi-John Chang
The Science of the Total Environment
|
January 23, 2009
Forecasting of ozone episode days by cost-sensitive neural network methods
Che-Hui Tsai, Li-Chiu Chang, Hsu-Cherng Chiang
IEEE Transactions on Neural Networks and Learning Systems
|
May 9, 2014
Reinforced two-step-ahead weight adjustment technique for online training of recurrent neural networks
Li-Chiu Chang, Pin-An Chen, Fi-John Chang
Journal of Environmental Management
|
March 8, 2025
Flood resilience through hybrid deep learning: Advanced forecasting for Taipei's urban drainage system
Li-Chiu Chang, Ming-Ting Yang, Fi-John Chang
Environmental Management
|
November 17, 2020
Explore Regional PM2.5 Features and Compositions Causing Health Effects in Taiwan
Yi-Shin Wang, Li-Chiu Chang, Fi-John Chang
The Science of the Total Environment
|
April 22, 2016
Estimating spatio-temporal dynamics of stream total phosphate concentration by soft computing techniques
Fi-John Chang, Pin-An Chen, Li-Chiu Chang, et al.
The Science of the Total Environment
|
May 2, 2017
Conservation of groundwater from over-exploitation-Scientific analyses for groundwater resources management
Fi-John Chang, Chien-Wei Huang, Su-Ting Cheng, et al.
Journal of Environmental Management
|
January 27, 2022
Real-time image-based air quality estimation by deep learning neural networks
Pu-Yun Kow, I-Wen Hsia, Li-Chiu Chang, et al.
The Science of the Total Environment
|
June 3, 2020
Explore spatio-temporal PM2.5 features in northern Taiwan using machine learning techniques
Fi-John Chang, Li-Chiu Chang, Che-Chia Kang, et al.
Journal of Environmental Management
|
December 15, 2023
Watershed groundwater level multistep ahead forecasts by fusing convolutional-based autoencoder and LSTM models
Pu-Yun Kow, Jia-Yi Liou, Wei Sun, et al.
Page
of 2