首页|Findings from Shahid Rajaee Teacher Training University Provide New Insights int o Machine Learning (Identifying accident prone areas and factors influencing the severity of crashes using machine learning and spatial analyses)
Findings from Shahid Rajaee Teacher Training University Provide New Insights int o Machine Learning (Identifying accident prone areas and factors influencing the severity of crashes using machine learning and spatial analyses)
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 DailyNews Daily News – A new study on artificial intelligence is now available. According to news originatingfrom Shahid Rajaee Teacher Trai ning University by NewsRx correspondents, research stated, “Identifyingaccident prone areas and the contributing environmental factors can save lives and enhan ce infrastructuredurability. This research presents an innovative use of two hi erarchical clustering methods (AgglomerativeHierarchical and BIRCH clustering a lgorithms) to detect accident hotspots with high accident rates onthe Yazd-Kerm an road, in Iran.”
Shahid Rajaee Teacher Training Universit yCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
