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Convolutional Neural Networks for Image Recognition in Mixed Reality Using Voice Command Labeling.

B. Hoppenstedt, K. Kammerer, M. Reichert, M. Spiliopoulou, и R. Pryss. AVR (2), том 11614 из Lecture Notes in Computer Science, стр. 63-70. Springer, (2019)

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Eva Hoppenstedt

Steffen Hoppenstedt

Dietrich Hoppenstedt

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Другие публикации лиц с тем же именем

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 ScenariosB. Hoppenstedt, T. Probst, M. Reichert, W. Schlee, K. Kammerer, M. Spiliopoulou, J. Schobel, M. Winter, A. Felnhofer, O. Kothgassner и 1 other автор(ы). JoVE (Journal of Visualized Experiments), (2020)Anomaly Detections for Manufacturing Systems Based on Sensor Data - Insights into Two Challenging Real-World Production Settings.K. Kammerer, B. Hoppenstedt, R. Pryss, S. Stökler, J. Allgaier, и M. Reichert. Sensors, 19 (24): 5370 (2019)Datenverständnis in Predictive Maintenance Anwendungen im Zeitalter von Industrie 4.0B. Hoppenstedt. University of Ulm, Germany, (2023)base-search.net (ftunivulm:oai:oparu.uni-ulm.de:123456789/48572).Detecting Production Phases Based on Sensor Values using 1D-CNNs.B. Hoppenstedt, M. Reichert, G. El-Khawaga, K. Kammerer, K. Winter, и R. Pryss. CoRR, (2020)Towards a Hierarchical Approach for Outlier Detection in Industrial Production Settings.B. Hoppenstedt, M. Reichert, K. Kammerer, M. Spiliopoulou, и R. Pryss. EDBT/ICDT Workshops, том 2322 из CEUR Workshop Proceedings, CEUR-WS.org, (2019)Convolutional Neural Networks for Image Recognition in Mixed Reality Using Voice Command Labeling.B. Hoppenstedt, K. Kammerer, M. Reichert, M. Spiliopoulou, и R. Pryss. AVR (2), том 11614 из Lecture Notes in Computer Science, стр. 63-70. Springer, (2019)Ecological Momentary Assessment based Differences between Android and iOS Users of the TrackYourHearing mHealth Crowdsensing Platform.R. Pryss, W. Schlee, M. Reichert, I. Kurthen, N. Giroud, L. Jagoda, P. Neuschwander, M. Meyer, P. Neff, J. Schobel и 4 other автор(ы). EMBC, стр. 3951-3955. IEEE, (2019)Machine Learning Findings on Geospatial Data of Users from the TrackYourStress mHealth Crowdsensing Platform.R. Pryss, D. John, M. Reichert, B. Hoppenstedt, L. Schmid, W. Schlee, M. Spiliopoulou, J. Schobel, R. Kraft, M. Schickler и 2 other автор(ы). IRI, стр. 350-355. IEEE, (2019)CONSENSORS: A Neural Network Framework for Sensor Data Analysis.B. Hoppenstedt, R. Pryss, K. Kammerer, и M. Reichert. OTM Workshops, том 11231 из Lecture Notes in Computer Science, стр. 196-200. Springer, (2018)Analysis of Fuel Cells Utilizing Mixed Reality and IoT Achievements.B. Hoppenstedt, M. Schmid, K. Kammerer, J. Scholta, M. Reichert, и R. Pryss. AVR (2), том 11614 из Lecture Notes in Computer Science, стр. 371-378. Springer, (2019)

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