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Parameter Forecasting for Vehicle Paint Quality Optimisation.

, , , and . MuC (Workshopband), Gesellschaft für Informatik e.V., (2016)

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Machine learning in continuous casting of steel: a state-of-the-art survey., , , , , , , and . J. Intell. Manuf., 33 (6): 1561-1579 (2022)Parameter Forecasting for Vehicle Paint Quality Optimisation., , , and . MuC (Workshopband), Gesellschaft für Informatik e.V., (2016)Detection of interferences in an additive manufacturing process: an experimental study integrating methods of feature selection and machine learning., , , , and . Int. J. Prod. Res., 58 (9): 2862-2884 (2020)Using the Open Meta Kaggle Dataset to Evaluate Tripartite Recommendations in Data Markets., , , , , , , and . CoRR, (2019)Learning Systems for Manufacturing Management Support., , and . SAMI@iKNOW, volume 1793 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)MEDEP: Maintenance Event Detection for Multivariate Time Series Based on the PELT Approach., , , , , and . Sensors, 22 (8): 2837 (2022)Unified Information Access for Knowledge Workers via a Federated Recommender System., , and . MuC (Workshopband), page 255-260. De Gruyter Oldenbourg, (2015)Multi-Loop Feedback Hierarchy Involving Human Workers in Manufacturing Processes., , and . MuC (Workshopband), Gesellschaft für Informatik e.V., (2017)From Data to Visualisations and Back: Selecting Visualisations Based on Data and System Design Considerations., , , and . CoRR, (2016)Cyber-Physical Systems as Enablers in Manufacturing Communication andWorker Support., , , and . MuC (Workshopband), Gesellschaft für Informatik e.V., (2019)