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Detecting Production Phases Based on Sensor Values using 1D-CNNs., , , , , and . CoRR, (2020)Towards a Hierarchical Approach for Outlier Detection in Industrial Production Settings., , , , and . EDBT/ICDT Workshops, volume 2322 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Convolutional Neural Networks for Image Recognition in Mixed Reality Using Voice Command Labeling., , , , and . AVR (2), volume 11614 of Lecture Notes in Computer Science, page 63-70. Springer, (2019)Dimensionality Reduction and Subspace Clustering in Mixed Reality for Condition Monitoring of High-Dimensional Production Data., , , , , , and . Sensors, 19 (18): 3903 (2019)Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios, , , , , , , , , and 1 other author(s). JoVE (Journal of Visualized Experiments), (2020)Smartphone-based behaviour analysis for challenging behaviour in intellectual and developmental disabilities and autism spectrum disorder – Study protocol for the ProVIA trial, , , , , , , , , and . Frontiers in Neuroscience, (2022)Anomaly Detections for Manufacturing Systems Based on Sensor Data - Insights into Two Challenging Real-World Production Settings., , , , , and . Sensors, 19 (24): 5370 (2019)Ambalytics: A Scalable and Distributed System Architecture Concept for Bibliometric Network Analyses., , , and . Future Internet, 13 (8): 203 (2021)Applicability of Immersive Analytics in Mixed Reality: Usability Study., , , , , , , , , and 1 other author(s). IEEE Access, (2019)Process-Driven and Flow-Based Processing of Industrial Sensor Data., , , , and . Sensors, 20 (18): 5245 (2020)