{"id":47753,"date":"2023-07-06T11:38:53","date_gmt":"2023-07-06T10:38:53","guid":{"rendered":"https:\/\/www.he-arc.ch\/?post_type=he-arc_publication&p=47753"},"modified":"2023-07-06T11:38:54","modified_gmt":"2023-07-06T10:38:54","slug":"data-driven-thermal-deviation-prediction-in-turning-machine-tool-a-comparative-analysis-of-machine-learning-algorithms","status":"publish","type":"he-arc_publication","link":"https:\/\/www.he-arc.ch\/en\/publications\/data-driven-thermal-deviation-prediction-in-turning-machine-tool-a-comparative-analysis-of-machine-learning-algorithms\/","title":{"rendered":"Data-driven thermal deviation prediction in turning machine-tool : a comparative analysis of machine learning algorithms"},"content":{"rendered":"\n
By : Nabil Ouerhani, Bernard Loehr, A\u00efcha Rizzotti-Kaddouri, Dylan Santo de Pinho, Adrien Limat, Philippe Schinderholz<\/p>\n\n\n\n
In : Procedia Computer Science <\/p>\n\n\n\n