首页|Study Findings from Nanyang Technological University Provide New Insights into M achine Learning (In-situ Defect Detection In Laserdirected Energy Deposition Wi th Machine Learning and Multisensor Fusion)
Study Findings from Nanyang Technological University Provide New Insights into M achine Learning (In-situ Defect Detection In Laserdirected Energy Deposition Wi th Machine Learning and Multisensor Fusion)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating in Singapore, Singapore , by NewsRx journalists, research stated, “Early defect identification in laser- directed energy deposition (L-DED) additive manufacturing (AM) is pivotal for pr eventing build failures. Traditional single-modal monitoring approaches lack the capability to fully comprehend process dynamics, leading to a gap in multisenso r monitoring strategies.”
SingaporeSingaporeAsiaCyborgsEme rging TechnologiesMachine LearningNanyang Technological University
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