首页|Findings from University of Naples Federico Ⅱ Has Provided New Data on Machine Learning (Utilising Unsupervised Machine Learning and Iot for Cost-effective Ano maly Detection In Multi-layer Wire Arc Additive Manufacturing)
Findings from University of Naples Federico Ⅱ Has Provided New Data on Machine Learning (Utilising Unsupervised Machine Learning and Iot for Cost-effective Ano maly Detection In Multi-layer Wire Arc Additive Manufacturing)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news originating fromNaples, Italy, by NewsRx correspo ndents, research stated, “Wire arc additive manufacturing (WAAM) isan additive manufacturing process for building large-sized metal components using gas metal arc weldingtechnology. Detecting defects during deposition is critical for halt ing production of low-quality components,thereby reducing waste and associated costs, and allowing timely process adjustments.”
NaplesItalyEuropeCyborgsEmerging TechnologiesMachine LearningTechnologyUniversity of Naples Federico Ⅱ
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