首页|Reports Summarize Machine Learning Findings from Chang’an University (An Automat ed 3d Crack Severity Assessment Using Surface Data for Improving Flexible Paveme nt Maintenance Strategies)
Reports Summarize Machine Learning Findings from Chang’an University (An Automat ed 3d Crack Severity Assessment Using Surface Data for Improving Flexible Paveme nt Maintenance Strategies)
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 – Research findings on Machine Learning are discussed in a new report. According tonews reporting originating in Xi’an, People’s Republic of China, by NewsRx journalists, research stated,“Evaluation of crack severity in flexible pavements predominantly centers around the analys is of cracks’surface characteristics. However, this study highlights the critic al importance of 3D crack parameters,including volume and depth, for comprehens ive assessment.”
Xi’anPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningChang’an University
NETL
NSTL
