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
THEME D: Numerical and Experimental Methods - Machine Learning
Time:
Wednesday, 05/June/2024:
1:30pm - 3:00pm

Session Chair: Gonçalo Jesus
Session Chair: Paulo Diogo
 Location: Room 2

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Presentations
Oral presentation

Hybrid physically based and machine learning model for streamflow prediction

Sergio Ricardo López-Chacón1, Fernando Salazar1,2, Ernest Bladé2

1International Centre for Numerical Methods in Engineering (CIMNE), 08034 Barcelona, Spain; 2Flumen Institute, Universitat Politècnica de Catalunya (UPC BarcelonaTech)—International Centre for Numerical Methods in Engineering (CIMNE), 08034 Barcelona, Spain


Oral presentation

A Comparative Analysis of Deep Learning Techniques for River Flow Forecasting in Northwest Spain

Juan F. Farfán-Durán, Luis Cea

Universidade da Coruña, Water and Environmental Engineering Group, Center for Technological Innovation in Construction and Civil Engineering (CITEEC), Elviña, 15071 A Coruña, Spain


Oral presentation

Machine Learning Methodologies for Leakage Flow in a Masonry Dam (Santa Fe's dam)

Enrique Bonet, Maria Teresa Yubero, Lluís Sanmiquel, Marc Bascompte

UPC EPSEM, Spain


Oral presentation

Experimental prediction of 1-dimensional riverbed deformation using machine learning along the Mogami river, Japan

Tao Yamamoto, So Kazama

Tohoku University, Japan


Oral presentation

Machine learning-based hydropower turbine designs

Ante Sikirica1, Marta Alvir2, Zoran Čarija2, Lado Kranjčević2

1Center for Advanced Computing and Modelling, University of Rijeka, Croatia; 2Faculty of Engineering, University of Rijeka, Croatia



 
 
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