Machine Learning Applications in the Coastal Environment


Description:

This session will explore Machine Learning and Big Data applications in the coastal environment. Abstracts are invited on the following topics: the collection of novel, large data sets for data-driven modeling; descriptive modeling of data in the coastal environment, including processing, quality control and event detection or classification; predictive modeling in the coastal environment, including time series, deep learning, tree-based, neural network, and related approaches; the development and application of explainable AI methods and the development and assessment of trust in coastal AI methods.


Papers:
Projecting Atlantic Storm Surge Risk with DeepSurge, a New Deep-Learning Storm Surge Model
Julian Rice, PNNL, Seattle, WA; and K. Balaguru, F. Ticona Rollano, D. Judi, and W. Xu

Submission Deadline: Thursday, 31 August 2023