首页|Data from Saveetha University Advance Knowledge in Machine Learning (Predictive Modeling of Compressive Strength for Additively Manufactured Peek Spinal Fusion Cages Using Machine Learning Techniques)
Data from Saveetha University Advance Knowledge in Machine Learning (Predictive Modeling of Compressive Strength for Additively Manufactured Peek Spinal Fusion Cages Using Machine Learning Techniques)
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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 reportingfrom Chennai, India, by NewsRx journ alists, research stated, “The current study delves into the utilizationof Machi ne Learning (ML) algorithms to evaluate the mechanical properties of additively manufacturedPEEK spinal fusion cages. In this research, a range of ML models, i ncluding Linear Regression (LiR),Lasso Regression (LaR), Decision tree (DT), an d K -Nearest Neighbor (KNN) are harnessed to enhancecompressive strength predic tion.”
ChennaiIndiaAsiaCyborgsEmerging TechnologiesMachine LearningSaveetha University
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