首页|Reports on Machine Learning Findings from University of Oklahoma Provide New Ins ights (Edmnet: Unveiling the Power of Machine Learning In Regression Modeling of Powder Mixed-edm)
Reports on Machine Learning Findings from University of Oklahoma Provide New Ins ights (Edmnet: Unveiling the Power of Machine Learning In Regression Modeling of Powder Mixed-edm)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news originatingfrom Norman, Oklahoma, by NewsRx c orrespondents, research stated, “Electrical discharge machining(EDM) is a compl ex process renowned for shaping intricate geometries in hard materials, though optimizing its performance is costly due to extensive experimental testing. We in troduce EDMNet, anovel machine learning (ML) benchmark framework for predicting EDM performance, specifically in smartpowder mixed-electrical discharge machin ing (PM-EDM) with electrode vibration, enabling in situ, onlinemonitoring of th e EDM process.”
NormanOklahomaUnited StatesNorth a nd Central AmericaCyborgsEmerging TechnologiesMachine LearningUniversity of Oklahoma
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