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Design, manufacture and industrial validation of an electro discharge dresser for metal bond CBN wheels., , , и . Int. J. Manuf. Technol. Manag., 15 (2): 207-218 (2008)A new approach for dynamic modelling of energy consumption in the grinding process using recurrent neural networks., , , , и . Neural Comput. Appl., 27 (6): 1577-1592 (2016)A computer-aided system for the optimization of the accuracy of the wire electro-discharge machining process., , и . Int. J. Comput. Integr. Manuf., 17 (5): 413-420 (2004)Computer simulation of wire-EDM taper-cutting., , , и . Int. J. Comput. Integr. Manuf., 19 (7): 727-735 (2006)Virtual Sensors for On-line Wheel Wear and Part Roughness Measurement in the Grinding Process., , , , и . Sensors, 14 (5): 8756-8778 (2014)Microcomputer Decision Support System for Intensive Care., , , , , , , , , и 3 other автор(ы). MedInfo, том 52 из Studies in Health Technology and Informatics, стр. 534-536. IOS Press, (1998)Expectations and limitations of Cyber-Physical Systems (CPS) for Advanced Manufacturing: A View from the Grinding Industry., , , и . Future Internet, 12 (9): 159 (2020)On the Influence of Infra-Red Sensor in the Accurate Estimation of Grinding Temperatures., , , , и . Sensors, 18 (12): 4134 (2018)Design of a Virtual-Instrumentation System for a Machining Process., , , , и . IEEE Trans. Instrumentation and Measurement, 56 (6): 2616-2622 (2007)Artificial Neural Networks for detecting instability trends in different workpiece thicknesses in a machining process., , , , и . ACC, стр. 1064-1069. IEEE, (2008)