首页|Findings from University of Bologna Provides New Data about Machine Learning (Co mparative Analysis of Conventional and Machine Learning Techniques for Rainfall Threshold Evaluation Under Complex Geological Conditions)
Findings from University of Bologna Provides New Data about Machine Learning (Co mparative Analysis of Conventional and Machine Learning Techniques for Rainfall Threshold Evaluation Under Complex Geological Conditions)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting from Bologna, Italy, by NewsR x journalists, research stated, "This research focuses on the essential task of defining rainfall thresholds in regions with complex geological features, specif ically at a regional scale. It examines a variety of methodologies, from traditi onal empirical-statistical methods to cutting-edge machine learning (ML) techniq ues, for establishing these thresholds." Funders for this research include Alma Mater Studiorum-Universit di Bologna, E uropean Union (EU), Fondazione Cassa di Risparmio in Bologna (Fondazione CARISBO ).
BolognaItalyEuropeCyborgsEmergin g TechnologiesMachine LearningUniversity of Bologna
NETL
NSTL
