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Digital Twins for Real-time Data Analysis in Industrie 4.0: Pathways to Maturity.

, , и . IN4PL, стр. 123-130. SCITEPRESS, (2021)

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Другие публикации лиц с тем же именем

Appendix for “Unified Theory of Acceptance and Use of Technology (UTAUT) for Intelligent Process Automation“, , , и . (2023)Improving Machine Self-Diagnosis with an Instance-Based Selector for Real-Time Anomaly Detection Algorithms., , и . ICDSST, том 447 из Lecture Notes in Business Information Processing, стр. 29-43. Springer, (2022)Towards Design Principles for a Real-Time Anomaly Detection Algorithm Benchmark Suited to Industrie 4.0 Streaming Data., и . HICSS, стр. 1-7. ScholarSpace, (2022)Assessing the Suitability of ArchiMate to Model Industry 4.0 Production Systems., , и . IIAI-AAI, стр. 827-832. IEEE, (2019)Towards a Student-Centered Learning Analytics Dashboard: Design, Development and Evaluation., и . AMCIS, Association for Information Systems, (2023)Requirements Identification for Real-Time Anomaly Detection in Industrie 4.0 Machine Groups: A Structured Literature Review., и . HICSS, стр. 1-10. ScholarSpace, (2021)A Prototypical Dashboard for Knowledge-Based Expert Systems used for Real-Time Anomaly Handling in Smart Manufacturing.. HICSS, стр. 5582-5590. ScholarSpace, (2023)Development and Future Research Directions of AI-Based Anomaly Detection in Smart Manufacturing: A Bibliometric Analysis, , и . 19. Internationale Tagung Wirtschaftsinformatik (WI), Würzburg, (2024)Digital Twins for Real-time Data Analysis in Industrie 4.0: Pathways to Maturity., , и . IN4PL, стр. 123-130. SCITEPRESS, (2021)User-Centered Visual Design of Alarms in Manufacturing Dashboards: Insights on Comprehensibility and Preferences., , , , и . ICIS, Association for Information Systems, (2023)