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A decision-making tool based on decision trees for roughness prediction in face milling.

, , , and . Int. J. Comput. Integr. Manuf., 30 (9): 943-957 (2017)

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Considering User Experience Parameters in the Evaluation of VR Serious Games., , and . AVR (1), volume 12242 of Lecture Notes in Computer Science, page 186-193. Springer, (2020)New methodology for the design of ultra-light structural components for machine tools., , , and . Int. J. Comput. Integr. Manuf., 28 (4): 339-352 (2015)Artificial intelligence for automatic prediction of required surface roughness by monitoring wear on face mill teeth., , and . J. Intell. Manuf., 29 (5): 1045-1061 (2018)Evaluation of the novelty effect in immersive Virtual Reality learning experiences., , , and . Virtual Real., 28 (1): 27 (March 2024)Virtual reality-based tool applied in the teaching and training of condition-based maintenance in induction motors., , , , and . IECON, page 1-6. IEEE, (2021)Towards higher machine-tool eco-efficiency with an Information Sharing Platform., , and . IECON, page 7548-7553. IEEE, (2013)Conventional Methods and AI models for Solving an Industrial an Industrial Problem., , , , and . EMS, page 317-322. IEEE Computer Society, (2008)Networked Control Based on Fuzzy Logic. An Application to a High-Performance Milling Process., , , , and . IWANN, volume 4507 of Lecture Notes in Computer Science, page 391-398. Springer, (2007)Data-mining modeling for the prediction of wear on forming-taps in the threading of steel components., , , and . J. Comput. Des. Eng., 3 (4): 337-348 (2016)Semi-supervised roughness prediction with partly unlabeled vibration data streams., and . J. Intell. Manuf., 30 (2): 933-945 (2019)