Marwin Züfle

According to our database1, Marwin Züfle authored at least 16 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
A literature review of IoT and CPS - What they are, and what they are not.
J. Syst. Softw., June, 2023

2022
Proactive Critical Event Prediction based on Monitoring Data with Focus on Technical Systems.
PhD thesis, 2022

2021
Libra: A Benchmark for Time Series Forecasting Methods.
Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021

Recommendations for Data-Driven Degradation Estimation with Case Studies from Manufacturing and Dry-Bulk Shipping.
Proceedings of the Research Challenges in Information Science, 2021

A Predictive Maintenance Methodology: Predicting the Time-to-Failure of Machines in Industry 4.0.
Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

Machine Learning Model Update Strategies for Hard Disk Drive Failure Prediction.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020
Time Series Forecasting for Self-Aware Systems.
Proc. IEEE, 2020

A Survey on Predictive Maintenance for Industry 4.0.
CoRR, 2020

A Survey on Human Machine Interaction in Industry 4.0.
CoRR, 2020

An Automated Forecasting Framework based on Method Recommendation for Seasonal Time Series.
Proceedings of the ICPE '20: ACM/SPEC International Conference on Performance Engineering, 2020

To Fail or Not to Fail: Predicting Hard Disk Drive Failure Time Windows.
Proceedings of the Measurement, Modelling and Evaluation of Computing Systems, 2020

Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

A Framework for Time Series Preprocessing and History-based Forecasting Method Recommendation.
Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020

2019
Utilizing Clustering to Optimize Resource Demand Estimation Approaches.
Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

Best Practices for Time Series Forecasting (Tutorial).
Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

Autonomic Forecasting Method Selection: Examination and Ways Ahead.
Proceedings of the 2019 IEEE International Conference on Autonomic Computing, 2019


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