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(2023). Robustness Prediction in Dynamic Production Processes—A New Surrogate Measure Based on Regression Machine Learning. <i>Processes</i>, <i>11</i>(4). <a href=\"https://doi.org/10.3390/pr11041267\">https://doi.org/10.3390/pr11041267</a>","chicago":"Grumbach, Felix, Anna Müller, Pascal Reusch, and Sebastian Trojahn. “Robustness Prediction in Dynamic Production Processes—A New Surrogate Measure Based on Regression Machine Learning.” <i>Processes</i> 11, no. 4 (2023). <a href=\"https://doi.org/10.3390/pr11041267\">https://doi.org/10.3390/pr11041267</a>.","ama":"Grumbach F, Müller A, Reusch P, Trojahn S. 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Trojahn, “Robustness Prediction in Dynamic Production Processes—A New Surrogate Measure Based on Regression Machine Learning,” <i>Processes</i>, vol. 11, no. 4, 2023.","mla":"Grumbach, Felix, et al. “Robustness Prediction in Dynamic Production Processes—A New Surrogate Measure Based on Regression Machine Learning.” <i>Processes</i>, vol. 11, no. 4, 1267, MDPI AG, 2023, doi:<a href=\"https://doi.org/10.3390/pr11041267\">10.3390/pr11041267</a>.","alphadin":"<span style=\"font-variant:small-caps;\">Grumbach, Felix</span> ; <span style=\"font-variant:small-caps;\">Müller, Anna</span> ; <span style=\"font-variant:small-caps;\">Reusch, Pascal</span> ; <span style=\"font-variant:small-caps;\">Trojahn, Sebastian</span>: Robustness Prediction in Dynamic Production Processes—A New Surrogate Measure Based on Regression Machine Learning. In: <i>Processes</i> Bd. 11, MDPI AG (2023), Nr. 4","short":"F. Grumbach, A. Müller, P. Reusch, S. Trojahn, Processes 11 (2023)."},"_id":"2848","intvolume":"        11"}]