{"id":753,"date":"2026-06-22T07:49:20","date_gmt":"2026-06-22T07:49:20","guid":{"rendered":"https:\/\/thinklab.lab.nycu.edu.tw\/zh\/?p=753"},"modified":"2026-06-22T14:52:02","modified_gmt":"2026-06-22T14:52:02","slug":"%e7%a0%94%e7%a9%b6%e6%88%90%e6%9e%9c-research-outcomes","status":"publish","type":"post","link":"https:\/\/thinklab.lab.nycu.edu.tw\/zh\/?p=753","title":{"rendered":"\u7814\u7a76\u6210\u679c Research Outcomes"},"content":{"rendered":"\n

(1) \u671f\u520a Journal Papers :<\/strong><\/p>\n\n\n\n

    \n
  1. Lin, Y.-A., Chung, K. S.*, Hsu, Y.-C., Yang, T.-H.<\/strong>, Tsai, C.-C., Liao, H.-H. (2026, April). Criticality of Ten-Minute Precipitation Resolution for Enhancing Flood Inundation Simulations in Rapidly Responding Basins. Journal of Hydrology: Regional Studies, (under review)<\/li>\n\n\n\n
  2. Lin, C.-Y., Kunga, I.-T., Yang, T.-H.* <\/strong>(2026, April). A Statistically Integrated Approach for Assessing Typhoon-Induced Rainfall in Taiwan under Climate Change Scenarios. Journal of Hydrology: Regional Studies, (revised)<\/li>\n\n\n\n
  3. Chen, L. F., & Yang, T. H.*<\/strong> (2026, April). Combining satellite imagery and digital elevation models to create flood depth maps for urban areas. Taiwan Water Conservancy, accepted. (EI)<\/li>\n\n\n\n
  4. Yang, T. H.*,<\/strong> & Lin, J. C. (2025, December). Using Physically Estimated Temperatures as Inputs to Enhance the Performance of an LSTM Model for Predicting Water Temperatures in Fishponds. Smart Agricultural Technology, 101563. (N\/M=4\/126=3.17%, AGRONOMY, 2023)<\/li>\n\n\n\n
  5. Ou, T.-H. Ou, Yang, T.-H.*,<\/strong> & Chang, P.-Z. (2025, April). Combination of Large Language Models and Portable Flood Sensors for Community Flood Response: A Preliminary Study. Water 2025, 17(7), 1055. (N\/M=40\/128=31.25%, WATER RESOURCES, 2023)<\/a><\/li>\n\n\n\n
  6. Yang, T. H.,<\/strong> Wijaya, O. T.*, Ardianto, S., & Christian, A. B. (2025, September). A Novel Multimodal Large Language Model-Based Approach for Urban Flood Detection Using Open-Access Closed Circuit Television in Bandung, Indonesia. Water, 17(18), 2739. (N\/M=40\/128=31.25%, WATER RESOURCES, 2023)<\/a><\/li>\n\n\n\n
  7. \u7530\u82ab\u7457\u3001\u694a\u5c0a\u83ef<\/strong>*\uff0c(2025, March)\uff0c\u521d\u63a2\u8c9d\u8449\u65af\u5b9a\u7406\u8a55\u4f30\u81fa\u7063\u5de5\u696d\u5340\u6d2a\u6c34\u640d\u5931\u7684\u53ef\u884c\u6027\uff0c\u53f0\u7063\u6c34\u5229\uff0c\u7b2c\u4e03\u5341\u4e09\u5377 \u7b2c\u4e00\u671f\u3002(EI)<\/a><\/li>\n\n\n\n
  8. Li, H. H., Yang, T. H.*,<\/strong> & Tsai, C. C. (2024, December). Integration of the WRF model and IoT sensors to develop an early cold snap warning system for inland fishponds. Smart Agricultural Technology, 100561. (N\/M=4\/126=3.17%, AGRONOMY, 2023)<\/a><\/li>\n\n\n\n
  9. Wijaya, O. T.*, & Yang, T. H.<\/strong> (2024, May). Application of Parallel Computing on Hybrid Inundation Model, Case Study: Chiayi County Flood 23-24 August 2018. In IOP Conference Series: Earth and Environmental Science (Vol. 1343, No. 1, p. 012017). IOP Publishing. (EI)<\/li>\n\n\n\n
  10. Yang, T. H.*,<\/strong> & Kao, H. M. (2023, November). Develop a bottom-up flood early warning system: a community perspective. In IET Conference Proceedings CP868 (Vol. 2023, No. 45, pp. 41-43). Stevenage, UK: The Institution of Engineering and Technology. (EI)<\/a><\/li>\n\n\n\n
  11. \u9673\u7acb\u51e1\u3001\u694a\u5c0a\u83ef*<\/strong>\uff0c(2023, October)\uff0c\u61c9\u7528Google Earth Engine\u8207FwDET-GEE\u7522\u751f\u6df9\u6c34\u5730\u5716-\u4ee5\u53f0\u5357\u5e02\u3001\u5609\u7fa9\u7e23\u53ca\u5c4f\u6771\u7e23\u70ba\u4f8b \uff0c\u4e2d\u570b\u571f\u6728\u6c34\u5229\u5de5\u7a0b\u5b78\u520a\uff0c\u7b2c\u4e09\u5341\u4e94\u5377 \u7b2c\u516d\u671f\u3002(EI)<\/a><\/li>\n\n\n\n
  12. Wijaya, O. T., Yang, T. H.*,<\/strong> Hsu, H. M., & Gourbesville, P. (2023, April). A Rapid Flood Inundation Model for Urban Flood Analyses. Methods X, 10, 102202. (N\/M=58\/135=42.96%, MULTIDISCIPLINARY SCIENCES, 2021)<\/a><\/li>\n\n\n\n
  13. \u9673\u6620\u5f64\u3001\u856d\u5b78\u52c7\u3001\u694a\u5c0a\u83ef*<\/strong>\u3001\u912d\u5146\u5c0a\u3001\u5f35\u96c5\u742a\uff0c(2023, June)\uff0c\u672a\u4f86\u6c23\u5019\u8b8a\u9077\u689d\u4ef6\u4e0b\u4e4b\u6f01\u696d\u640d\u5931\u8207\u8abf\u9069\u63aa\u65bd\u6210\u6548\uff0c\u571f\u6728\u6c34\u5229\uff0c\u7b2c\u4e94\u5341\u5377 \u7b2c\u4e09\u671f\uff0cDOI: <\/a>10.6653\/MoCICHE.202306_50(3).0007\u3002(EI)<\/li>\n\n\n\n
  14. Tseng, K.-H., Yang, T.- H<\/strong>., Chen, P.-Y., Chien, H., Chen, C.-F., Hung, Y.-C. (2022, December). Exploring the Feasibility of Mitigating Flood Hazards by an Existing Pond System in Taoyuan, Taiwan. Drones, 7, 1. (N\/M=14\/63=22.22% REMOTE SENSING, 2023)<\/li>\n\n\n\n
  15. Liu, C. H., Yang, T. H.<\/strong>*., & Wijaya, O. T. (2022, November). Development of an Artificial Neural Network Algorithm Embedded in an On-Site Sensor for Water Level Forecasting. Sensors, 22(21), 8532. (N\/M=19\/64=29.69%, INSTRUMENTS & INSTRUMENTATION, 2021)<\/li>\n<\/ol>\n\n\n\n

    <\/p>\n\n\n\n

    (2) \u7814\u8a0e\u6703 Conference Papers :<\/strong><\/p>\n\n\n\n

      \n
    1. Chien, K.-Y.*, Yang, T.-H<\/strong>. (2026, May), Improvement of an Cellular Automata Model for Urban Flood Modeling. Japan Geoscience Union Meeting 2026, 24-29 May 2026, Chiba, Japan.<\/li>\n\n\n\n
    2. Lin, J.-C.*, Yang, T.-H.<\/strong> (2026, May), Three Pathways for Physics Integration in Deep Learning: A Case Study on Fishpond Temperature Prediction. Japan Geoscience Union Meeting 2026, 24-29 May 2026, Chiba, Japan.<\/li>\n\n\n\n
    3. Yang, T.-H.<\/strong> (2026, April), Three Pathways for Physics Integration in Neural Network: A Case Study on Fishpond Temperature Prediction. AI & Sustainability Forum: Exploring AI Across Sustainability Domains, 10 April 2026, Taipei, Taiwan.<\/li>\n\n\n\n
    4. \u9673\u5f18\u7a4e*\u3001\u694a\u5c0a\u83ef\uff0c\u4f7f\u7528\u6578\u503c\u6a21\u578b\u7522\u751f\u7684\u5408\u6210\u8cc7\u8a0a\u4f5c\u70ba\u4eba\u5de5\u667a\u6167\u8f38\u5165\uff0c\u4ee5\u88fd\u4f5c\u8a73\u7d30\u6df9\u6c34\u5730\u5716\uff1a\u521d\u6b65\u7814\u7a76\uff0c\u7b2c27\u5c46\u5168\u570b\u6c34\u5229\u5de5\u7a0b\u7814\u8a0e\u6703\uff0c114\u5e749\u670830\u65e5\uff0c\u65b0\u7af9\uff0c\u53f0\u7063\u3002<\/a><\/li>\n\n\n\n
    5. \u9f94\u9038\u5ead*\u3001\u694a\u5c0a\u83ef<\/strong>\uff0c\u5229\u7528\u8c9d\u8449\u65af\u7db2\u8def\u6a21\u578b\u9032\u884c\u98b1\u98a8\u964d\u96e8\u9810\u6e2c\uff0c\u7b2c27\u5c46\u5168\u570b\u6c34\u5229\u5de5\u7a0b\u7814\u8a0e\u6703\uff0c114\u5e749\u670830\u65e5\uff0c\u65b0\u7af9\uff0c\u53f0\u7063\u3002<\/a><\/li>\n\n\n\n
    6. \u6797\u5bb6\u9e92*\u3001\u694a\u5c0a\u83ef<\/strong>\uff0c\u7269\u7406\u6d88\u606f\u795e\u7d93\u7db2\u8def\u8207\u5e38\u898fLSTM \u6a21\u578b\u9b5a\u6c60\u6eab\u5ea6\u9810\u6e2c\u4e2d\u7684\u6027\u80fd\u8868\u73fe\uff0c\u7b2c27\u5c46\u5168\u570b\u6c34\u5229\u5de5\u7a0b\u7814\u8a0e\u6703\uff0c114\u5e749\u670830\u65e5\uff0c\u65b0\u7af9\uff0c\u53f0\u7063\u3002<\/li>\n\n\n\n
    7. Lin, J.-C.*, Yang, T.-H.<\/strong> (2025, July), Physics-Informed and Regular LSTM Model Performance for Fishpond Temperature Prediction. 2025 ICEO&SI Conference, 3-4 July 2025, Miaoli, Taiwan.<\/li>\n\n\n\n
    8. Ou, T.-H.*, Yang, T.-H.<\/strong> (2025, July), Combining GenAI and IoT for Efficient Early Flood Warnings at the Community Level. 2025 ICEO&SI Conference, 3-4 July 2025, Miaoli, Taiwan.<\/li>\n\n\n\n
    9. Chen, H.-Y.*, Wu, C.-L., Yang, T.-H.<\/strong> (2025, May), Using Synthetic Information from Numerical Models as Inputs for Artificial Intelligence to Produce Detailed Flood Map: A Preliminary Study. Japan Geoscience Union Meeting 2025, 25-30 May 2025, Chiba, Japan.<\/li>\n\n\n\n
    10. Kung, I.-T.*, Yang, T.-H.<\/strong> (2025, May), Using a Bayesian network model for typhoon rainfall prediction. Japan Geoscience Union Meeting 2025, 25-30 May 2025, Chiba, Japan.<\/li>\n\n\n\n
    11. Yang, T.-H.*<\/strong>, Kuo, H.-L., Lin, C.-Y. (2024, Sep), A Method for Evaluating the Impact of Typhoon-Induced Rainfall in Taiwan under Climate Change Scenarios Based on Statistic Models, The 3rd International Seminar on Earth Sciences and Technology 2024, 18-19 September, Bandung, Indonesia.<\/li>\n\n\n\n
    12. Li, H-H, Yang, T. H.*<\/strong>., Tsai, C.-C. (2024, June), Development of An Early Cold Snap Warning System for Inland Fish Farming, 2024 ICEO&SI Conference, June 29, 30 Taoyuan-, Taipei. Taiwan.<\/li>\n\n\n\n
    13. Tien, Y. Y.*, Yang, T. H.<\/strong> (2024, May). Using the Bayesian theorem to assess flood damage in industrial areas in Taiwan. Japan Geoscience Union Meeting 2024, 26-31 May 2024, Chiba, Japan.<\/li>\n\n\n\n
    14. Lee, W. T.*, Yang, T. H.<\/strong> (2024, May). From Observation to Impact: Flood Damage Assessment Tools Developed for Urban Areas. Japan Geoscience Union Meeting 2024, 26-31 May 2024, Chiba, Japan.<\/li>\n\n\n\n
    15. Yang, T. H.*<\/strong> (2024, April). From Observation to Impact: Flood Damage Assessment Tools Developed for Urban Areas. The 5th Asian Conference on Urban Disaster Reduction, 26, May, New Taipei City, Taiwan.<\/li>\n\n\n\n
    16. Yang, T. H.*<\/strong> (2023, November), Develop edge computing-based sensory networks to mitigate the effects of natural disasters. The 11th International Symposium on Water Environment Systems—– with Perspective of Global Safety, 16-17 November 2023, Sendai Japan.<\/li>\n\n\n\n
    17. Wijaya, O. T.*, Yang, T. H.<\/strong> (2023, November). Application of Parallel Computing on Hybrid Inundation Model, Case Study: Chiayi County Flood 23-24 August 2018. The 8th HYDRAULICS ENGINEERING INTERNATIONAL SEMINAR (HEIS), Jakarta, Indonesia.<\/li>\n\n\n\n
    18. Chan, L. F., Yang, T. H.*<\/strong> (2023, August). Flood depth estimation for urban area using google earth engine and digital elevation based hydroprocessing models. 2023 AOGS, Singapore.<\/li>\n\n\n\n
    19. Wu, I. H., Yang, T. H.*<\/strong> (2023, August). Managing flood risk during building construction process: A case study of Taichung International Convention and Exhibition Center. 2023 AOGS, Singapore.<\/li>\n\n\n\n
    20. Chan, L. F., Yang, T. H.*<\/strong> (2023, June). Detailed flood mapping using Sentinel-1 images and digital elevation model. 2023 ICEO & SI Conference, Taipei, Taiwan.<\/li>\n\n\n\n
    21. \u5289\u627f\u7ff0*, \u694a\u5c0a\u83ef<\/strong>\uff0c\u7d50\u5408\u6a39\u8393\u6d3e\u8207\u985e\u795e\u7d93\u7db2\u8def(ANN)\u5373\u6642\u9032\u884c\u8b8a\u91cf\u6d41\u6c34\u4f4d\u4e4b\u9810\u6e2c\uff0c2022 ICEO &SI Conference\uff0c111\u5e748\u670830\u65e5-31\u65e5\uff0c\u82b1\u84ee\uff0c\u53f0\u7063\u3002<\/li>\n\n\n\n
    22. \u738b\u601d\u61ff*, \u694a\u5c0a\u83ef<\/strong>\uff0c\u4ee5\u9678\u4e0a\u990a\u6b96\u9b5a\u586d\u70ba\u76ee\u6a19\u958b\u767c\u4e4b\u6c34\u6eab\u6a21\u64ec\u6a21\u5f0f\uff0c2022 ICEO &SI Conference\uff0c111\u5e748\u670830\u65e5-31\u65e5\uff0c\u82b1\u84ee\uff0c\u53f0\u7063\u3002<\/li>\n\n\n\n
    23. \u9673\u6620\u5f64\u3001\u856d\u5b78\u52c7\u3001\u694a\u5c0a\u83ef<\/strong>*\u3001\u912d\u5146\u5c0a\u3001\u5f35\u96c5\u742a\u3001\u912d\u65ed\u7fd4\uff0c\u4ee5\u751f\u6d3b\u5f71\u97ff\u8207\u6f01\u696d\u640d\u5931\u70ba\u6a19\u7684\u63a2\u8a0e\u6c23\u5019\u8b8a\u9077\u689d\u4ef6 \u4e0b\u4e4b\u6e1b\u707d\u63aa\u65bd\u6210\u6548\uff0c110\u5e749\u67089\u65e5-10\u65e5\uff0c\u7b2c 25 \u5c46\u6c34\u5229\u5de5\u7a0b\u7814\u8a0e\u6703\uff0c\u53f0\u5357\uff0c\u53f0\u7063<\/li>\n\n\n\n
    24. \u5433\u4f2f\u5112*, \u694a\u5c0a\u83ef<\/strong>\uff0c\u856d\u5b78\u52c7\uff0c\u8003\u616e\u5730\u5f62\u9ad8\u7a0b\u8207\u5730\u8868\u7c97\u7cd9\u5ea6\u4e4b\u5feb\u901f\u6df9\u6c34\u6a21\u5f0f\u767c\u5c55\uff0c2021 ICEO &SI Conference\uff0c110\u5e746\u670827\u65e5-29\u65e5\uff0c\u82d7\u6817\uff0c\u53f0\u7063\u3002<\/li>\n\n\n\n
    25. \u9673\u6620\u5f64*, \u694a\u5c0a\u83ef<\/strong>\uff0c\u6cbf\u6d77\u4f4e\u5730\u6df9\u6c34\u6a21\u64ec\u8207\u6e1b\u707d\u63aa\u65bd\u8a55\u4f30-\u4ee5\u5609\u7fa9\u6771\u77f3\u9109\u990a\u6b96\u6f01\u696d\u70ba\u4f8b\uff0c2021 ICEO &SI Conference\uff0c110\u5e746\u670827\u65e5-29\u65e5\uff0c\u82d7\u6817\uff0c\u53f0\u7063\u3002<\/li>\n<\/ol>\n\n\n\n

      <\/p>\n","protected":false},"excerpt":{"rendered":"

      (1) \u671f\u520a Journal Papers : (2) \u7814\u8a0e\u6703 Conference Papers :<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[30],"tags":[],"class_list":["post-753","post","type-post","status-publish","format-standard","hentry","category-research-outcomes"],"_links":{"self":[{"href":"https:\/\/thinklab.lab.nycu.edu.tw\/zh\/index.php?rest_route=\/wp\/v2\/posts\/753"}],"collection":[{"href":"https:\/\/thinklab.lab.nycu.edu.tw\/zh\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/thinklab.lab.nycu.edu.tw\/zh\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/thinklab.lab.nycu.edu.tw\/zh\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/thinklab.lab.nycu.edu.tw\/zh\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=753"}],"version-history":[{"count":5,"href":"https:\/\/thinklab.lab.nycu.edu.tw\/zh\/index.php?rest_route=\/wp\/v2\/posts\/753\/revisions"}],"predecessor-version":[{"id":762,"href":"https:\/\/thinklab.lab.nycu.edu.tw\/zh\/index.php?rest_route=\/wp\/v2\/posts\/753\/revisions\/762"}],"wp:attachment":[{"href":"https:\/\/thinklab.lab.nycu.edu.tw\/zh\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=753"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/thinklab.lab.nycu.edu.tw\/zh\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=753"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/thinklab.lab.nycu.edu.tw\/zh\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=753"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}