首页|New Machine Learning Findings Has Been Reported by Investigators at University o f Utah (Visibility-informed Mapping of Potential Firefighter Lookout Locations U sing Maximum Entropy Modelling)
New Machine Learning Findings Has Been Reported by Investigators at University o f Utah (Visibility-informed Mapping of Potential Firefighter Lookout Locations U sing Maximum Entropy Modelling)
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 originating from Salt Lake City, Utah, by NewsRx correspondents, research stated, “Situational awareness is an essentia l component of wildland firefighter safety. In the US, crew lookouts provide sit uational awareness by proxy from ground-level locations with visibility of both fire and crew members.Aims To use machine learning to predict potential lookout locations based on incident data, mapped visibility, topography, vegetation, and roads.Methods Lidar-derived topographic and fuel structural variables were used to generate maps of visibility across 30 study areas that possessed lookout loc ation data.” Funders for this research include National Science Foundation (NSF), United Stat es Forest Service.
Salt Lake CityUtahUnited StatesNor th and Central AmericaCyborgsEmerging TechnologiesMachine LearningUniver sity of Utah