Shoreline dynamics prediction using machine learning models: from process learning to probabilistic forecasting

Shoreline dynamics prediction using machine learning models: from process learning to probabilistic forecasting

Coastal zones are experiencing notable changes attributed to natural and anthropogenic effects. This study investigates the potential of machine learning (ML) in predicting shoreline changes, a developing field still in its early exploration phase. Traditional methods, while insightful, have faced c...

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Bibliographic Details
Main Authors: Afshar Adeli, Ali Dastgheib, Dano Roelvink
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Marine Science
Subjects:
shoreline dynamics
machine learning
probabilistic forecasting
shoreline evolution
shoreline prediction
shorelineS model
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2025.1562504/full
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