首页|Investigators from University of Warwick Release New Data on Machine Learning (T ravel Distance Estimation of Landslide-induced Debris Flows By Machine Learning Method In Nepal Himalaya After the Gorkha Earthquake)
Investigators from University of Warwick Release New Data on Machine Learning (T ravel Distance Estimation of Landslide-induced Debris Flows By Machine Learning Method In Nepal Himalaya After the Gorkha Earthquake)
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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news originating from Coventry, United Kingdom, by News Rx correspondents, research stated, "Debris flows are more likely to be triggere d in the earthquake-strike areas with a widespread presence of unstable slopes, causing severe casualties and changing the surrounding natural topography. In su ch scenario, estimating the travel distance of debris flows becomes crucial to u nderstand the hazardous areas." Financial support for this research came from European Union (EU). Our news journalists obtained a quote from the research from the University of W arwick, "Therefore, a hybrid machine learning model (GA-XGBoost) was employed to achieve a reliable estimation of debris-flow travel distance. This model was ap plied to the Nepal Himalayas, the site of the 2015 Gorkha earthquake." According to the news editors, the research concluded: "We selected four geomorp hological factors for travel distance estimation."
CoventryUnited KingdomEuropeCyborg sEmerging TechnologiesMachine LearningUniversity of Warwick
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