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Relating wear stages in sheet metal forming based on short- and long-term force signal variations., , , and . J. Intell. Manuf., 33 (7): 2143-2155 (2022)Investigations on the Application of the Downhill-Simplex-Algorithm to the Inverse Determination of Material Model Parameters for FE-Machining Simulations., , and . Simul. Model. Pract. Theory, (2021)Recurrent Online and Transfer Learning of a CNC-Machining Center with Support Vector Machines., , , and . ISIE, page 1-7. IEEE, (2021)Towards an Infrastructure Enabling the Internet of Production., , , , , , , , , and 8 other author(s). ICPS, page 31-37. IEEE, (2019)FactDAG: Formalizing Data Interoperability in an Internet of Production., , , , , , , , , and 4 other author(s). IEEE Internet Things J., 7 (4): 3243-3253 (2020)Detecting Out-Of-Control Sensor Signals in Sheet Metal Forming using In-Network Computing., , , , , , and . ISIE, page 1-6. IEEE, (2021)Reconfigurable Robotic Solution for Effective Finishing of Complex Surfaces., , , , , and . ETFA, page 1285-1290. IEEE, (2018)Comparison of rotational turning and hard turning regarding surface generation., , , and . Prod. Eng., 8 (3): 309-317 (2014)Support vector regression to correct motor current of machine tool drives., , , , and . J. Intell. Manuf., 31 (3): 553-560 (2020)Practical Nonlinear Model Predictive Control of a CNC Machining Center with Support Vector Machines., , , , , and . AIM, page 1625-1631. IEEE, (2022)