首页|University of Strathclyde Reports Findings in Machine Learning (Unsupervised mac hine learning for flaw detection in automated ultrasonic testing of carbon fibre reinforced plastic composites)
University of Strathclyde Reports Findings in Machine Learning (Unsupervised mac hine learning for flaw detection in automated ultrasonic testing of carbon fibre reinforced plastic composites)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Glasgow, United Kingdom, by NewsRx journalists, research stated, “The use of Carbon FibreReinforced Pla stic (CFRP) composite materials for critical components has significantly surged withinthe energy and aerospace industry. With this rapid increase in deploymen t, reliable post-manufacturingNon-Destructive Evaluation (NDE) is critical for verifying the mechanical integrity of manufactured components.”
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