Skip to content
Sensors
Development and Application of Portable Flood Sensor
Models
HIM model can rapidly forecast flood depths for urban areas
Risk Assessment
Typhoon Rainfall Prediction in Taiwan under Climate Change Scenarios: Application of a Two-Stage Bayesian Regression Model
Research Outcomes
Journal Papers
Conference Papers
Contact Us
Menu
Sensors
Development and Application of Portable Flood Sensor
Models
HIM model can rapidly forecast flood depths for urban areas
Risk Assessment
Typhoon Rainfall Prediction in Taiwan under Climate Change Scenarios: Application of a Two-Stage Bayesian Regression Model
Research Outcomes
Journal Papers
Conference Papers
Contact Us
Facebook
X-twitter
Instagram
Sensors
Development and Application of Portable Flood Sensor
Models
HIM model can rapidly forecast flood depths for urban areas
Risk Assessment
Typhoon Rainfall Prediction in Taiwan under Climate Change Scenarios: Application of a Two-Stage Bayesian Regression Model
Research Outcomes
Journal Papers
Conference Papers
Contact Us
Menu
Sensors
Development and Application of Portable Flood Sensor
Models
HIM model can rapidly forecast flood depths for urban areas
Risk Assessment
Typhoon Rainfall Prediction in Taiwan under Climate Change Scenarios: Application of a Two-Stage Bayesian Regression Model
Research Outcomes
Journal Papers
Conference Papers
Contact Us
Search
Search
Close this search box.
Conference Papers
September 18, 2024
文章發表於 The 3rd International Seminar on Earth Sciences and Technology 2024, 18-19 September 2024, Bandung, Indonesia.
A Method for Evaluating the Impact of Typhoon-Induced Rainfall in Taiwan under Climate Change Scenarios Based on Statistic Models
Yang, T.-H.
*, Kuo, H.-L., Lin, C.-Y.
Researches
Publications
Development of an edge computing-based sensory network to mitigate the impact of natural disasters in pond aquaculture
August 2, 2024
・
2023 GSsympo
A Novel Multimodal Large Language Model-Based Approach for Urban Flood Detection Using Open-Access Closed Circuit Television in Bandung, Indonesia
November 8, 2025
・
Water, 17(18), 2739. (N/M=40/128=31.25%, WATER RESOURCES, 2023)
Using Physically Estimated Temperature as Inputs to Enhance the erformance of the LSTM Model for Predicting Water Temperature in Fishponds
November 8, 2025
・
Smart Agricultural Technology
Combination of Large Language Models and Portable Flood Sensors for Community Flood Response: A Preliminary Study
April 1, 2025
・
Water 2025, 17(7), 1055. (N/M=40/128=31.25%, WATER RESOURCES, 2023)
初探貝葉斯定理評估臺灣工業區洪水損失的可行性
March 1, 2025
・
台灣水利,第七十三卷 第一期。(EI)
Research Projects
Models
Sensor
Risk Assessment
Models
Sensor
Risk Assessment
Shared Articles
Prev
Previous
應用Google Earth Engine與FwDET-GEE產生淹水地圖-以台南市、嘉義縣及屏東縣為例
Next
Integration of the WRF model and IoT sensors to develop an early cold snap warning system for inland fishponds
Next