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CNC Milling Tool Head Imbalance Prediction Using Computational Intelligence Methods.

, , , , , , , and . ICAISC (1), volume 9119 of Lecture Notes in Computer Science, page 503-514. Springer, (2015)

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Weighted Feature Selection Method for Improving Decisions in Milling Process Diagnosis., , , and . ICAISC (1), volume 12415 of Lecture Notes in Computer Science, page 280-291. Springer, (2020)Implementation of Computational Intelligence Methods for CNC Machine Spindle Imbalance Prediction., and . AUTOMATION, volume 743 of Advances in Intelligent Systems and Computing, page 604-612. Springer, (2018)Industrial Platform for Rapid Prototyping of Intelligent Diagnostic Systems., , and . KKA, volume 577 of Advances in Intelligent Systems and Computing, page 712-721. Springer, (2017)CNC Milling Tool Head Imbalance Prediction Using Computational Intelligence Methods., , , , , , , and . ICAISC (1), volume 9119 of Lecture Notes in Computer Science, page 503-514. Springer, (2015)Rapid control prototyping with Scilab/Scicos/RTAI for PC-based ARM-based platforms., , and . IMCSIT, page 739-744. IEEE, (2008)Failures Prediction in the Cold Forging Process Using Machine Learning Methods., , , , , and . ICAISC (1), volume 8467 of Lecture Notes in Computer Science, page 622-633. Springer, (2014)Fusion of Feature Selection Methods for Improving Model Accuracy in the Milling Process Data Classification Problem., , , and . IJCNN, page 1-8. IEEE, (2020)