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机构 日期 题名 作者
臺大學術典藏 2021-02-04T07:07:29Z Explore a Multivariate Bayesian Uncertainty Processor driven by artificial neural networks for probabilistic PM2.5 forecasting Zhou, Y.;Chang, L.-C.;Chang, F.-J.; Zhou, Y.; Chang, L.-C.; Chang, F.-J.; FI-JOHN CHANG
臺大學術典藏 2021-02-04T07:07:28Z Explore Regional PM2.5 Features and Compositions Causing Health Effects in Taiwan Wang, Y.-S.;Chang, L.-C.;Chang, F.-J.; Wang, Y.-S.; Chang, L.-C.; Chang, F.-J.; FI-JOHN CHANG
臺大學術典藏 2021-02-04T07:07:27Z Self-organizing maps of typhoon tracks allow for flood forecasts up to two days in advance Chang, L.-C.;Chang, F.-J.;Yang, S.-N.;Tsai, F.-H.;Chang, T.-H.;Herricks, E.E.; Chang, L.-C.; Chang, F.-J.; Yang, S.-N.; Tsai, F.-H.; Chang, T.-H.; Herricks, E.E.; FI-JOHN CHANG
臺大學術典藏 2021-02-04T07:07:27Z Exploring Copula-based Bayesian Model Averaging with multiple ANNs for PM2.5 ensemble forecasts Zhou, Y.;Chang, F.-J.;Chen, H.;Li, H.; Zhou, Y.; Chang, F.-J.; Chen, H.; Li, H.; FI-JOHN CHANG
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
淡江大學 2020-11-17 Explore Regional PM2.5 Features and Compositions Causing Health Effects in Taiwan Yi-shin Wang; Li-Chiu Chang; Fi-John Chang
淡江大學 2020-10-18 Explore training self-organizing map methods for clustering high-dimensional flood inundation maps Li-Chiu Chang; Wu-Han Wang; Fi-John Chang
臺大學術典藏 2020-01-14T03:33:36Z Modeling and investigating the mechanisms of groundwater level variation in the Jhuoshui River Basin of Central Taiwan Bai T.;Tsai W.-P.;Chiang Y.-M.;Chang F.-J.;Chang W.-Y.;Chang L.-C.;Chang K.-C.; Bai T.; Tsai W.-P.; Chiang Y.-M.; Chang F.-J.; Chang W.-Y.; Chang L.-C.; Chang K.-C.; FI-JOHN CHANG
臺大學術典藏 2020-01-14T03:33:35Z Drought mitigation under urbanization through an intelligent water allocation system Tsai W.-P.;Cheng C.-L.;Uen T.-S.;Zhou Y.;Chang F.-J.; Tsai W.-P.; Cheng C.-L.; Uen T.-S.; Zhou Y.; Chang F.-J.; FI-JOHN CHANG
臺大學術典藏 2020-01-14T03:33:35Z Explore a deep learning multi-output neural network for regional multi-step-ahead air quality forecasts Zhou Y.;Chang F.-J.;Chang L.-C.;Kao I.-F.;Wang Y.-S.; Zhou Y.; Chang F.-J.; Chang L.-C.; Kao I.-F.; Wang Y.-S.; FI-JOHN CHANG
臺大學術典藏 2020-01-14T03:33:35Z Explore an evolutionary recurrent ANFIS for modelling multi-step-ahead flood forecasts Zhou Y.;Guo S.;Chang F.-J.; Zhou Y.; Guo S.; Chang F.-J.; FI-JOHN CHANG
臺大學術典藏 2020-01-14T03:33:35Z Mathematical modeling suggests high potential for the deployment of floating photovoltaic on fish ponds Wunderlich R.F.;Wang T.-W.;Lai H.-T.;Chen C.-C.;Chang F.-J.; Ch?teau P.-A.; Wunderlich R.F.; Wang T.-W.; Lai H.-T.; Chen C.-C.; Chang F.-J.; FI-JOHN CHANG
臺大學術典藏 2020-01-14T03:33:35Z Multi-output support vector machine for regional multi-step-ahead PM 2.5 forecasting Zhou Y.;Chang F.-J.;Chang L.-C.;Kao I.-F.;Wang Y.-S.;Kang C.-C.; Zhou Y.; Chang F.-J.; Chang L.-C.; Kao I.-F.; Wang Y.-S.; Kang C.-C.; FI-JOHN CHANG
臺大學術典藏 2020-01-14T03:33:35Z Prospect for small-hydropower installation settled upon optimal water allocation: An action to stimulate synergies of water-food-energy nexus Zhou Y.;Chang L.-C.;Uen T.-S.;Guo S.;Xu C.-Y.;Chang F.-J.; Zhou Y.; Chang L.-C.; Uen T.-S.; Guo S.; Xu C.-Y.; Chang F.-J.; FI-JOHN CHANG
臺大學術典藏 2020-01-14T03:33:34Z HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community Tsai W.-P.; FI-JOHN CHANG; Li X.; Li D.; Fang K.; Fang Z.; Kifer D.; Hsu K.-L.; Ganguly S.; Chang F.-J.; Albert A.; Bales J.; Elshorbagy A.; Laloy E.; Shen C.; Shen C.;Laloy E.;Elshorbagy A.;Albert A.;Bales J.;Chang F.-J.;Ganguly S.;Hsu K.-L.;Kifer D.;Fang Z.;Fang K.;Li D.;Li X.;Tsai W.-P.
臺大學術典藏 2020-01-14T03:33:34Z Identification of flood seasonality using an entropy-based method Xiong F.;Guo S.;Chen L.;Chang F.-J.;Zhong Y.;Liu P.; Xiong F.; Guo S.; Chen L.; Chang F.-J.; Zhong Y.; Liu P.; FI-JOHN CHANG
臺大學術典藏 2020-01-14T03:33:34Z Methodology that improves water utilization and hydropower generation without increasing flood risk in mega cascade reservoirs Zhou Y.;Guo S.;Chang F.-J.;Liu P.;Chen A.B.; Zhou Y.; Guo S.; Chang F.-J.; Liu P.; Chen A.B.; FI-JOHN CHANG
臺大學術典藏 2020-01-14T03:33:34Z Signals of stream fish homogenization revealed by AI-based clusters Cheng S.-T.;Tsai W.-P.;Yu T.-C.;Herricks E.E.;Chang F.-J.; Cheng S.-T.; Tsai W.-P.; Yu T.-C.; Herricks E.E.; Chang F.-J.; FI-JOHN CHANG
臺大學術典藏 2020-01-14T03:33:34Z AI-based design of urban stormwater detention facilities accounting for carryover storage Yang S.-N.;Chang L.-C.;Chang F.-J.; Yang S.-N.; Chang L.-C.; Chang F.-J.; FI-JOHN CHANG
臺大學術典藏 2020-01-14T03:33:33Z Boosting hydropower output of mega cascade reservoirs using an evolutionary algorithm with successive approximation Zhou Y.;Guo S.;Chang F.-J.;Xu C.-Y.; Zhou Y.; Guo S.; Chang F.-J.; Xu C.-Y.; FI-JOHN CHANG
臺大學術典藏 2020-01-14T03:33:33Z Building an intelligent hydroinformatics integration platform for regional flood inundation warning systems Chang L.-C.;Chang F.-J.;Yang S.-N.;Kao I.-F.;Ku Y.-Y.;Kuo C.-L.;Amin I.M.Z.M.; Chang L.-C.; Chang F.-J.; Yang S.-N.; Kao I.-F.; Ku Y.-Y.; Kuo C.-L.; Amin I.M.Z.M.; FI-JOHN CHANG
臺大學術典藏 2020-01-14T03:33:33Z Building ANN-based regional multi-step-ahead flood inundation forecast models Chang L.-C.;Amin M.Z.M.;Yang S.-N.;Chang F.-J.; Chang L.-C.; Amin M.Z.M.; Yang S.-N.; Chang F.-J.; FI-JOHN CHANG
臺大學術典藏 2020-01-14T03:33:33Z Evaluation of the BMA probabilistic inflow forecasts using TIGGE numeric precipitation predictions based on artificial neural network Xiong F.; Chang F.-J.; Lin K.; FI-JOHN CHANG; Zhong Y.; Guo S.; Ba H.; Zhong Y.;Guo S.;Ba H.;Xiong F.;Chang F.-J.;Lin K.
臺大學術典藏 2020-01-14T03:33:33Z Exploring synergistic benefits of Water-Food-Energy Nexus through multi-objective reservoir optimization schemes Uen T.-S.;Chang F.-J.;Zhou Y.;Tsai W.-P.; Uen T.-S.; Chang F.-J.; Zhou Y.; Tsai W.-P.; FI-JOHN CHANG
臺大學術典藏 2020-01-14T03:33:32Z Conservation of groundwater from over-exploitation—Scientific analyses for groundwater resources management Chang F.-J.; Huang C.-W.; Cheng S.-T.; Chang L.-C.; FI-JOHN CHANG

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