HelioWebTamkang University, Taiwan
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I[Tamkang University, Taiwan]
PI["Parent Institutions (0)"]
CI["Child Institutions (0)"]
AW["Affiliated Works (26)"]
CA["Linked Collaborating Authors (2)"]
I== skos:broader ==>PI
CI== skos:broader ==>I
AW== affil ==>I
AW== author ==>CA
click PI "#parent-institutions"
click CI "#child-institutions"
click AW "#affiliated-works"
click CA "#collaborating-authors"
Parent Institutions [?]
Child Institutions [?]
Affiliated Works
sorted by decreasing year, and then by display-name
- Estimation of Flood Inundation Extent Using Neural Networks
- Intelligent Real-Time Reservoir Operation for Flood Control
- NSGA-II for optimizing water supply and hydroelectric power generation of Two-Reservoir System
- Estimation of Flood Inundation Extent Using Hybrid Models (Invited)
- The intelligent operation of an urban drainage system using artificial neural networks
- Building Flood Inundation Warning Systems by Using Serial-Propagated Neural Networks
- Flood Identification from Satellite Images Using Artificial Neural Networks
- An analytical solution of groundwater level fluctuation in coastal aquifer bounded by three water-land boundaries
- Data-Driven Techniques for Regional Groundwater Level Forecasts
- Developing an Intelligent Reservoir Flood Control Decision Support System through Integrating Artificial Neural Networks
- Modeling multi-scale turbulent dispersion in two-phase dilute flows
- Coupling Precipitation with Groundwater Level Using Two Self-Organizing Maps
- Explore the Spatial-Temporal Interrelation between Groundwater and Surface Water by Self-Organizing Map
- Two-phase flow modeling of collapse of a submerged granular column: a comparision of drag equations
- Building regional early flood warning systems by AI techniques
- Multiphase Simulation of Local Scour Caused by Submerged Wall Jets
- Regional early flood warning system: design and implementation
- Is small-hydropower implementation a good solution to boosting synergistic benefits of Water-Food-Energy Nexus?
- Prediction of Groundwater Levels for the Extreme Events Using Artificial Neural Networks
- Building AI-based prediction models of storm sewer systems to estimate the flooded area of the ground surface
- Convolutional Neural Networks for Analyzing the Characteristics of Typhoon Structure from Satellite Imagery
- Develop AI Early flood warning systems for smart cities flood defense with IoT flood sensors
- Evaluations of Tropical Cyclone Forecasts by Using the Hindcasts and Real-time Forecasts from the NCEP 35-Day Global Ensemble
- Hybrid Machine Learning models with Principal Component Analysis for Multi-Step-Ahead Urban Flood Inundation
- Investigating the effect of typhoon track on rainfall spatial distribution over a watershed using artificial intelligence technique
- Real-time prediction and correction of regional flooding by combining artificial intelligence and IoT sensors.