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KI-Waste - Combining Image Recognition and Time Series Analysis in Refuse Sorting.

, , , , , , , and . MuC (Workshopband), Gesellschaft für Informatik e.V., (2021)

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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)Learning Systems for Manufacturing Management Support., , and . SAMI@iKNOW, volume 1793 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)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)MEDEP: Maintenance Event Detection for Multivariate Time Series Based on the PELT Approach., , , , , and . Sensors, 22 (8): 2837 (2022)KI-Waste - Combining Image Recognition and Time Series Analysis in Refuse Sorting., , , , , , , and . MuC (Workshopband), Gesellschaft für Informatik e.V., (2021)Flexible Scheduling for Human Robot Collaboration in Intralogistics Teams., , , , , , , and . MuC (Workshopband), Gesellschaft für Informatik e.V., (2018)Cyber-Physical Systems as Enablers in Manufacturing Communication andWorker Support., , , and . MuC (Workshopband), Gesellschaft für Informatik e.V., (2019)Big data as a promoter of industry 4.0: Lessons of the semiconductor industry., , and . INDIN, page 239-244. IEEE, (2017)