On the use of convolutional deep learning to predict shoreline change

<p>The process of shoreline change is inherently complex, and reliable predictions of shoreline position remain a key challenge in coastal research. Predicting shoreline evolution could potentially benefit from deep learning (DL), which is a recently developed and widely successful data-driven...

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Bibliographic Details
Main Authors: E. Gomez-de la Peña, G. Coco, C. Whittaker, J. Montaño
Format: Article
Language:English
Published: Copernicus Publications 2023-11-01
Series:Earth Surface Dynamics
Online Access:https://esurf.copernicus.org/articles/11/1145/2023/esurf-11-1145-2023.pdf