首页|Researchers from University of Strathclyde Report Recent Findings in Machine Lea rning (A Study of Machine Learning Object Detection Performance for Phased Array Ultrasonic Testing of Carbon Fibre Reinforced Plastics)
Researchers from University of Strathclyde Report Recent Findings in Machine Lea rning (A Study of Machine Learning Object Detection Performance for Phased Array Ultrasonic Testing of Carbon Fibre Reinforced Plastics)
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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.”
GlasgowUnited KingdomEuropeCyborgsEmerging TechnologiesMachine LearningUniversity of Strathclyde
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