HelioWebYeungnam University, Korea
flowchart
I[Yeungnam University, Korea]
PI["Parent Institutions (0)"]
CI["Child Institutions (0)"]
AW["Affiliated Works (9)"]
CA["Linked Collaborating Authors (0)"]
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
- Comparative study of hydrogen peroxide in 2004 and 2005 during the high ozone episodes in metropolitan Seoul
- Predictive Understanding of Seasonal Hydrological Dynamics under Climate and Land Use-Land Cover Change
- Evaluation of Green Infrastructure on Peak Flow Mitigation Focusing on the Connectivity of Impervious Areas
- Drainage network configuration focusing on the flood mitigation in urban catchments
- Drainage network generation using Deep Convolutional Generative Adversarial Networks
- Machine Learning Algorithms to Model Wildfires Occurrence and Behavior in the Republic of Korea: Comparing Logistic Regression to Machine Learning Algorithms.
- An Introduction of Drainage Network Layout Planning as a Sustainable Peak Flow Mitigation Measure in Urban Catchments
- Effects of Forest Fires and Slope Failures on Rainfall Threshold to Induce Bedload Discharge in Forested Watersheds, Republic of Korea
- Deep Neural Network for Nowcasting Chemical Accident in Freshwater