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:
Submission Deadline: Thursday, 31 August 2023
See more of: 22nd Symposium on the Coastal Environment
