首页|Findings from Queensland University of Technology (QUT) Update Understanding of Artificial Intelligence (A Bivariate, Non-stationary Extreme Value Model for Est imating Opposing-through Crash Frequency By Severity By Applying Artificial …)
Findings from Queensland University of Technology (QUT) Update Understanding of Artificial Intelligence (A Bivariate, Non-stationary Extreme Value Model for Est imating Opposing-through Crash Frequency By Severity By Applying Artificial …)
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 – Investigators publish new report on Ar tificial Intelligence. According to news reportingout of Brisbane, Australia, b y NewsRx editors, research stated, “Multivariate extreme value modellingtechniq ues are widely applied to estimate crash risks from traffic conflicts, with a pr edominant focuson rear-end crashes. In contrast, the suitability of conflict me asures within a multivariate framework forestimating opposing-through crash ris ks has received less attention.”
BrisbaneAustraliaAustralia and New Z ealandArtificial IntelligenceEmerging TechnologiesMachine LearningQueens land University of Technology (QUT)
NETL
NSTL
