摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-调查人员发布了关于马学习的新报告。根据新sRx记者从英国格拉斯哥发来的新闻报道，研究表明，“碳纤维增强塑料(CFRPs)在航空航天工业中的应用越来越多，这导致了对无损评估(NDE)的重大关注，以确保这些材料的质量和完整性。专家操作员对自动机器人超声扫描获得的大量数据的解释往往耗时、繁琐，并且容易出现人为错误，在制造过程中造成瓶颈。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news reporting from Glasgow, United Kingdom, by New sRx journalists, research stated, “The growing adoption of Carbon Fibre Reinforc ed Plastics (CFRPs) in the aerospace industry has resulted in a significant reli ance on Non- Destructive Evaluation (NDE) to ensure the quality and integrity of these materials. The interpretation of large amounts of data acquired from autom ated robotic ultrasonic scanning by expert operators is often time consuming, tedious, and prone to human error creating a bottleneck in the manufacturing process.”
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