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A bio-inspired computational high-precision dental milling system., , , , , , , , and . NaBIC, page 423-429. IEEE, (2010)Prediction and failure analysis of composite resin restorations in the posterior sector applied in teaching dental students., , , , and . J. Ambient Intell. Humaniz. Comput., 11 (11): 4537-4544 (2020)Applying soft computing techniques to optimise a dental milling process., , , , and . Neurocomputing, (2013)Optimizing a dental milling process by means of soft computing techniques., , , , , , , , and . ISDA, page 1430-1435. IEEE, (2010)Prediction of Dental Milling Time-Error by Flexible Neural Trees and Fuzzy Rules., , , , , , , , , and 1 other author(s). IDEAL, volume 7435 of Lecture Notes in Computer Science, page 842-849. Springer, (2012)A Hybrid System for Dental Milling Parameters Optimisation., , , , , , , and . HAIS (2), volume 6679 of Lecture Notes in Computer Science, page 437-446. Springer, (2011)Application of Soft Computing Technologies toward Assessment and Skills Development., , , , , , , and . CISIS/ICEUTE/SOCO Special Sessions, volume 189 of Advances in Intelligent Systems and Computing, page 299-310. Springer, (2012)Evaluation of Novel Soft Computing Methods for the Prediction of the Dental Milling Time-Error Parameter., , , , , , , , , and 1 other author(s). SOCO, volume 188 of Advances in Intelligent Systems and Computing, page 163-172. Springer, (2012)Retreatment Predictions in Odontology by means of CBR Systems., , , , , , and . Comput. Intell. Neurosci., (2016)Case-Based Reasoning to Classify Endodontic Retreatments., , , , and . PACBB, volume 154 of Advances in Intelligent and Soft Computing, page 79-86. Springer, (2012)