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 |
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THEME D: Numerical and Experimental Methods - Machine Learning
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Oral presentation
Hybrid physically based and machine learning model for streamflow prediction 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 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) UPC EPSEM, Spain
Oral presentation
Experimental prediction of 1-dimensional riverbed deformation using machine learning along the Mogami river, Japan Tohoku University, Japan
Oral presentation
Machine learning-based hydropower turbine designs 1Center for Advanced Computing and Modelling, University of Rijeka, Croatia; 2Faculty of Engineering, University of Rijeka, Croatia
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