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Fi-John Chang

Showing results (1-10 of 32) with videos related to

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Journal of Environmental Quality|January 6, 2010
Dynamic factor analysis for estimating ground water arsenic trendsYi-Ming Kuo, Fi-John Chang
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> forecastingYanlai Zhou, Li-Chiu Chang, Fi-John Chang
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Reinforced two-step-ahead weight adjustment technique for online training of recurrent neural networksLi-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 systemLi-Chiu Chang, Ming-Ting Yang, Fi-John Chang
Environmental Management|November 17, 2020
Explore Regional PM2.5 Features and Compositions Causing Health Effects in TaiwanYi-Shin Wang, Li-Chiu Chang, Fi-John Chang
The Science of the Total Environment|March 26, 2018
Exploring synergistic benefits of Water-Food-Energy Nexus through multi-objective reservoir optimization schemesTinn-Shuan Uen, Fi-John Chang, Yanlai Zhou, et al.
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.
Environmental Research|February 23, 2020
Explore the relationship between fish community and environmental factors by machine learning techniquesJia-Hao Hu, Wen-Ping Tsai, Su-Ting Cheng, et al.
The Science of the Total Environment|September 5, 2016
Assessing the natural and anthropogenic influences on basin-wide fish species richnessSu-Ting Cheng, Edwin E Herricks, Wen-Ping Tsai, et al.
The Science of the Total Environment|May 2, 2017
Conservation of groundwater from over-exploitation-Scientific analyses for groundwater resources managementFi-John Chang, Chien-Wei Huang, Su-Ting Cheng, et al.
Pageof 4

Showing results (1-10 of 32) with videos related to

Sort By:
Pageof 4
Journal of Environmental Quality|January 6, 2010
Dynamic factor analysis for estimating ground water arsenic trendsYi-Ming Kuo, Fi-John Chang
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> forecastingYanlai Zhou, Li-Chiu Chang, Fi-John Chang
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Reinforced two-step-ahead weight adjustment technique for online training of recurrent neural networksLi-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 systemLi-Chiu Chang, Ming-Ting Yang, Fi-John Chang
Environmental Management|November 17, 2020
Explore Regional PM2.5 Features and Compositions Causing Health Effects in TaiwanYi-Shin Wang, Li-Chiu Chang, Fi-John Chang
The Science of the Total Environment|March 26, 2018
Exploring synergistic benefits of Water-Food-Energy Nexus through multi-objective reservoir optimization schemesTinn-Shuan Uen, Fi-John Chang, Yanlai Zhou, et al.
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.
Environmental Research|February 23, 2020
Explore the relationship between fish community and environmental factors by machine learning techniquesJia-Hao Hu, Wen-Ping Tsai, Su-Ting Cheng, et al.
The Science of the Total Environment|September 5, 2016
Assessing the natural and anthropogenic influences on basin-wide fish species richnessSu-Ting Cheng, Edwin E Herricks, Wen-Ping Tsai, et al.
The Science of the Total Environment|May 2, 2017
Conservation of groundwater from over-exploitation-Scientific analyses for groundwater resources managementFi-John Chang, Chien-Wei Huang, Su-Ting Cheng, et al.
Pageof 4