4 papers
An Efficient Regional Storm Surge Surrogate Model Training Strategy Under Evolving Landscape and Climate Scenarios
Ziyue Liu, Mohammad Ahmadi Gharehtoragh, Brenna Kari Losch +1
Coastal communities face significant risk from storm-induced coastal flooding, which causes substantial societal and economic losses worldwide. Machine learning techniques have inc…
Surrogate Models to Predict Wave Hydrodynamics on Evolving Landscapes
Mohammad Ahmadi Gharehtoragh, David R Johnson
Coastal planners using probabilistic risk assessments to evaluate structural flood risk reduction projects may wish to simulate the hydrodynamics associated with large suites of tr…
Building Machine Learning Challenges for Anomaly Detection in Science
Elizabeth G. Campolongo, Yuan-Tang Chou, Ekaterina Govorkova +148
Scientific discoveries are often made by finding a pattern or object that was not predicted by the known rules of science. Oftentimes, these anomalous events or objects that do not…
Prediction of storm surge on evolving landscapes under climate change
David R Johnson, Mohammad Ahmadi Gharehtoragh
Planners who wish to manage coastal flood risk with long-lived infrastructure (e.g., levees, floodwalls) under a constrained computational budget face a tradeoff. Simulating a larg…