首页|Reports Summarize Machine Learning Findings from University of Calabria (Machine Learning for Tsunami Waves Forecasting Using Regression Trees)
Reports Summarize Machine Learning Findings from University of Calabria (Machine Learning for Tsunami Waves Forecasting Using Regression Trees)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating in Arcavacata di Rende, Italy, by NewsRx journalists, research stated, “After a seismic event, tsunami e arly warning systems (TEWSs) try to accurately forecast the maximum height of in cident waves at specific target points in front of the coast, so that early warn ings can be launched on locations where the impact of tsunami waves can be destr uctive to deliver aids in these locations in the immediate postevent management. The uncertainty on the forecast can be quantified with ensembles of alternative scenarios.” Financial supporters for this research include European High-Performance Computi ng Joint Undertaking (JU), European Union (EU), PNRR MUR project, PNRR MUR proje ct, MIUR - Italian Ministry for Scientific Research under the PRIN 2017 program.
Arcavacata di RendeItalyEuropeCybo rgsEmerging TechnologiesMachine LearningUniversity of Calabria
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