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Using AutoML to Optimize Shape Error Prediction in Milling Processes

, , , , and . Proceedings of 20th Machining Innovations Conference for Aerospace Industry (MIC), (December 2020)

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Using AutoML to Optimize Shape Error Prediction in Milling Processes, , , , and . Proceedings of 20th Machining Innovations Conference for Aerospace Industry (MIC), (December 2020)Exergy analysis of incremental sheet forming., , , , , , , and . Prod. Eng., 6 (2): 169-177 (2012)Adaptive Process Planning and Control, , and . Cyber-Physical and Gentelligent Systems in Manufacturing and Life Cycle, chapter 3.1.1, Academic Press, London, (2017)Simulation-based planning and evaluation of personnel scheduling in knowledge-intensive production systems., , , and . Prod. Eng., 10 (4-5): 489-496 (2016)Flow stress and temperature considerations for orthogonal cutting of an aluminum-alloyed UHC-steel., , and . Prod. Eng., 9 (3): 337-342 (2015)Application of machine learning for fleet-based condition monitoring of ball screw drives in machine tools, , , , , and . International Journal of Advanced Manufacturing Technology, 127 (3-4): 1143--1164 (July 2023)Funding Information: Open Access funding enabled and organized by Projekt DEAL. Funded by the Lower Saxony Ministry of Science and Culture under grant number ZN3489 within the Lower Saxony “Vorab” of the Volkswagen Foundation, Germany, supported by the Center for Digital Innovations (ZDIN), Germany. Carolin Benjamins and Marius Lindauer acknowledge support by European Union under the ERC Starting Grant “ixAutoML” (grant no. 101041029). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the ERC. Neither the European Union nor the ERC can be held responsible for them..A new process chain for recycling of cemented carbide milling tools., , and . Prod. Eng., 12 (3-4): 547-553 (2018)Smart and energy-efficient dust suction concept for milling of fibre-reinforced plastics., , and . Prod. Eng., 11 (6): 723-729 (2017)Scalable cooperative multi-agentreinforcement-learning for order-controlled on schedule manufacturing in flexible manufacturing systems, , , , and . Simulation in Produktion und Logistik, (September 2021)Das gentelligente Werkstück, , , , and . Handbuch Industrie 4.0, chapter B1, Hanser, München, (2017)