Ciencias da Computación e Tecnoloxías da Información
Departamento
Andrés
Figuero Pérez
Investigador
Publicacións nas que colabora con Andrés Figuero Pérez (19)
2024
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Deep Learning-Based Wave Overtopping Prediction
Applied Sciences (Switzerland), Vol. 14, Núm. 6
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Machine learning tool for wave overtopping prediction based on the safety-operability ratio
Ocean Engineering, Vol. 312
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Outer Port of Punta Langosteira (Spain) ship movement dataset: 2021 - 2022
Zenodo
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Outer Port of Punta Langosteira (Spain) ship movement dataset: 2021 - 2022
Zenodo
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Wind influence and bathymetric effects in wave overtopping based on a long-term field campaign in the Outer Port of Punta Langosteira (Spain)
Journal of Marine Engineering and Technology, Vol. 23, Núm. 6, pp. 383-395
2023
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AI-BASED DECISION-MAKING TOOLS FOR PORT MANAGEMENT: SHIP-INFRASTRUCTURE OPERABILITY AND OVERTOPPING
Proceedings of the Coastal Engineering Conference
2021
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Machine learning based moored ship movement prediction
Journal of Marine Science and Engineering, Vol. 9, Núm. 8
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Outer Port of Punta Langosteira (Spain) ship movement dataset: 2015 - 2020
Zenodo
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Outer Port of Punta Langosteira (Spain) ship movement dataset: 2015 - 2020
Zenodo
2020
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3D SURVEY MODELLING FOR DAMAGE ASSESSMENT IN RUBBLE-MOUND BREAKWATERS UNDER OBLIQUE WAVE INCIDENCE
Italian Journal of Engineering Geology and Environment, Vol. 20, Núm. 1, pp. 73-85
2019
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3-D scale model study of wave run-up, overtopping and damage in a rubble-mound breakwater subject to oblique extreme wave conditions
Defect and Diffusion Forum, Vol. 396, pp. 32-41
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Application of an analytic methodology to estimate the movements of moored vessels based on forecast data
Water (Switzerland), Vol. 11, Núm. 9
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Data Storage Report. RODBreak - Wave run-up, overtopping and damage in rubble-mound breakwaters under oblique extreme wave conditions due to climate change scenarios
Zenodo
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Data Storage Report. RODBreak - Wave run-up, overtopping and damage in rubble-mound breakwaters under oblique extreme wave conditions due to climate change scenarios
Zenodo
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Deep Learning Based Ship Movement Prediction System Architecture
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Operational thresholds of moored ships at the oil terminal of inner port of A Coruña (Spain)
Ocean Engineering, Vol. 172, pp. 599-613
2018
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Dynamical study of a moored vessel using computer vision
Journal of Marine Science and Technology (Taiwan), Vol. 26, Núm. 2, pp. 240-250
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Field measurements of angular motions of a vessel at berth: Inertial device application
Control Engineering and Applied Informatics, Vol. 20, Núm. 3, pp. 79-88
2017
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Neural network overtopping predictor proof of concept
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 10305 LNCS, pp. 616-625