Facebook X-twitter Instagram
Search
Close this search box.

Think Lab

快拆式淹水感測器之開發與應用(ECOMSNet)
是以短延時強降雨為目標，期望降低都市受災的影響，進行具有邊際運算技術能力、方便安裝，與低廉維運成本之感測器開發。在創新分散式淹水預警系統架構下，感測器可快速從點的觀測推估到面之淹水預測。
混合型快速淹水模型發展(HIM)
整合細胞自動機(Cellular Automata)、數值高程模型開發(Digitial Elevation Model)以及一維下水道St. Venant控制方程式之都市快速淹水模式。
結合衛星影像快速評估淹水範圍與深度
透過Google Earth Engine（GEE）擷取衛星影像並判斷淹水範圍，接著使用 自行開發之SPM-GEE模式估計範圍內之淹水深度
Previous slide
Next slide

論文發表

1

A Novel Multimodal Large Language Model-Based Approach for Urban Flood Detection Using Open-Access Closed Circuit Television in Bandung, Indonesia
8 11 月, 2025・Water

2

Combination of Large Language Models and Portable Flood Sensors for Community Flood Response: A Preliminary Study
8 11 月, 2025・Water

3

 初探貝葉斯定理評估台灣工業區洪水損失的可行性
8 11 月, 2025・台灣水利

4

Using Physically Estimated Temperature as Inputs to Enhance the erformance of the LSTM Model for Predicting Water Temperature in Fishponds
8 11 月, 2025・Smart Agricultural Technology

5

Integration of the WRF model and IoT sensors to develop an early cold snap warning systems for fishponds
17 12 月, 2024・Smart Agricultural Technology

About THINKLAB

透過不同領域的整合，探索水利工程乃至於減災避災更廣泛的應用。

研究項目

最新文章

© Copyright THINKLAB. All Rights Reserved

Facebook Twitter Youtube Linkedin

Welcome to the lab.

Both the Chinese and English websites are currently being updated.
The information may not be up to date and please feel free to contact
thsyang@nycu.edu.tw for more details.
English
中文