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Predictive Maintenance for Industry 4.0

. Talk at Workshop on Self-Awareness in Cyber-Physical Systems 2018, (апреля 2018)

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Adolf Züfle

Heiko Züfle

Andreas Züfle

Martin Züfle

Marwin Heide

 

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Recommendations for Data-Driven Degradation Estimation with Case Studies from Manufacturing and Dry-Bulk Shipping, , , , , и . Research Challenges in Information Science (RCIS), стр. 189--204. Springer, (2021)Artificial Intelligence in Medicine - From Data Collection to Prediction, и . Invited Talk at Klinikum Nürnberg, (ноября 2019)A Survey on Human Machine Interaction in Industry 4.0., , , , , , , , и . CoRR, (2020)A literature review of IoT and CPS—What they are, and what they are not, , , , , и . Journal of Systems and Software, (2023)An Automated Forecasting Framework based on Method Recommendation for Seasonal Time Series., , , , , и . ICPE, стр. 48-55. ACM, (2020)Utilizing Clustering to Optimize Resource Demand Estimation Approaches., , , , , и . FAS*W@SASO/ICAC, стр. 134-139. IEEE, (2019)To Fail or Not to Fail: Predicting Hard Disk Drive Failure Time Windows., , , , и . MMB, том 12040 из Lecture Notes in Computer Science, стр. 19-36. Springer, (2020)Dynamic Hybrid Forecasting for Self-Aware Systems. University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, Master Thesis, (октября 2017)<b>Würzburg Software Engineering Award sponsored by infosim</b>.A Framework for Time Series Preprocessing and History-based Forecasting Method Recommendation, и . Proceedings of the 15th Conference on Computer Science and Information Systems (FedCSIS): Data Mining Competition of the International Symposium on Advanced Artificial Intelligence in Applications, (сентября 2020)A Survey on Predictive Maintenance for Industry 4.0, , , , , , , , и . Universität Würzburg and University of Mannheim and Syntax Systems GmbH and MOZYS Engineering GmbH, (февраля 2020)