Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
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Session Overview
Session
6.1: Machine Learning and AI (2)
Time:
Tuesday, 10/Sept/2024:
11:15am - 12:15pm

Session Chair: Qin Jim Chen
 Location: Room A - AULA MAGNA

Ground floor of Pontificia Università Gregoriana - Piazza della Pilotta, 4

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Presentations
11:15am - 11:30am

AI-base fast computation of nonlinear wave energy transfer

Auriane Laurent, Yoshimitsu Tajima

University of Tokyo, Japan

224-Laurent-AI-base fast computation of nonlinear wave energy transfer.pdf

11:30am - 11:45am

Optimizing neural network training data selection for nearshore sea state forecasting through clustering algorithms

Elisa Castro1, Luca Cavallaro1, Claudio Iuppa2, David Lucio Fernández3, Javier López Lara3, Enrico Foti1, Rosaria Ester Musumeci1

1University of Catania, Italy; 2University of Messina; 3IH Cantabria

827-Castro-Optimizing neural network training data selection.pdf

11:45am - 12:00pm

Deep Learning framework to use complex models in operational forecast systems

Ana Catarina Zózimo1, Liliana Pinheiro1, Anika Manz2, Juan L. Garzón3, Conceição Fortes1

1National Laboratory for Civil Engineering; 2CIMA, University of Algarve; 3CIMA\ARNET, University of Algarve

920-Zózimo-Deep Learning framework to use complex models in operational forecast systems.pdf

12:00pm - 12:15pm

Data-driven dynamic models for spatial interpolation of wave energy source characteristics: preliminary experimental validation

Edoardo Pasta1, Leonardo Gambarelli1, Giuseppe Giorgi1, Francesco Ferri2

1Politecnico di Torino, Italy; 2Aalborg University, Denmark

993-Pasta-Data-driven dynamic models for spatial interpolation.pdf