摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员讨论机器学习的新发现。根据新闻报道来自路易斯安那州巴吞鲁日的Ne wsRx记者的研究表明，“反射性起着至关重要的作用。”在运动标记中的作用，因为它提高了司机的夜间能见度。然而，由于布吉特的限制，许多美国国家机构很少监控其标记的反向反射性，而是对标记进行分条基于目视检查或固定时间表。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingfrom Baton Rouge, Louisiana, by Ne wsRx journalists, research stated, “Retroreflectivity plays a crucialrole in pa vement markings as it enhances nighttime visibility for drivers. Yet, owing to b udget constraints,many U.S. state agencies rarely monitor the retroreflectivity of their markings, and instead, restripe markingsbased on visual inspection or fixed schedule.”
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