首页|Study Findings on Machine Learning Discussed by a Researcher at University of Sh arjah (Machine Learning Modeling of Wheel and Non-Wheel Path Longitudinal Cracking)
Study Findings on Machine Learning Discussed by a Researcher at University of Sh arjah (Machine Learning Modeling of Wheel and Non-Wheel Path Longitudinal Cracking)
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-Current study results on artificial in telligence have been published. According to news reporting originating from the University of Sharjah by NewsRx correspondents, research stated, “Roads degrade over time due to various factors such as traffic loads, environmental condition s, and the quality of materials used. Significant investments have been poured i nto road construction globally, necessitating regular evaluations and the implem entation of maintenance and rehabilitation (M&R) strategies to keep the infrastructure performing at a satisfactory level.”
University of SharjahCyborgsEmerging TechnologiesMachine Learning