A Hybrid Analytical–Genetic Programming Framework for Modelling Cross-Shore Beach Profiles

Mendeley Data 2026 Dataset Open access

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Authors: Larissa Sousa
DOI: 10.17632/9m2stcgdmc
Cited by: 0

Abstract

1. Overview This database contains all datasets generated and used in the study focused on the identification, classification, and modeling of nearshore sandbar morphology using in situ bathymetric profiles, statistical analysis, genetic programming, and satellite-derived morphometric indicators. The database supports the full methodological workflow, including data pre-processing, dimensionality reduction, clustering, machine learning modeling, remote sensing processing, and validation.

Fields of Study & Subjects

Coastal and Marine Dynamics Evolutionary Algorithms and Applications Hydrology and Sediment Transport Processes

Publication details

Journal / source
Mendeley Data
Publication date
10 February 2026
Language
EN
Document type
Dataset