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15 Publikationen


2024 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 11808
Klepp, G. H. (2024). Modelling activated carbon hydrogen storage tanks using machine learning models. Energy : The International Journal ; Technologies, Resources, Reserves, Demands, Impact, Conservation, Management, Policy, 306, Article 132318. https://doi.org/10.1016/j.energy.2024.132318
ELSA | DOI
 

2024 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12167
Subramanian, R., & Büker, U. (2024). Study of Contactless Computer Vision-Based Road Condition Estimation Methods Within the Framework of an Operational Design Domain Monitoring System. Eng : Advances in Engineering, 5(4), 2778–2804. https://doi.org/10.3390/eng5040145
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2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12785
Wunderlich, P., Wiegräbe, F., & Dörksen, H. (2023). Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 20(2), Article 1215. https://doi.org/10.3390/ijerph20021215
ELSA | DOI | WoS | PubMed | Europe PMC
 

2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12806
Hinterleitner, A., Schulz, R., Hans, L., Subbotin, A., Barthel, N., Pütz, N., Rosellen, M., Bartz-Beielstein, T., Geng, C., & Priss, P. (2023). Online Machine Learning and Surrogate-Model-Based Optimization for Improved Production Processes Using a Cognitive Architecture.   Applied Sciences : Open Access Journal, 13(20), Article 11506. https://doi.org/10.3390/app132011506
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2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 10216 | OA
Fulek, R., Ramm, S., Kiera, C., Pein-Hackelbusch, M., & Odefey, U. (2023). A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions. Pharmaceutics, 15(8), Article 2153. https://doi.org/10.3390/pharmaceutics15082153
ELSA | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 

2021 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12800
Strohschein, J., Fischbach, A., Bunte, A., Faeskorn-Woyke, H., Moriz, N., & Bartz-Beielstein, T. (2021). Cognitive capabilities for the CAAI in cyber-physical production systems. The International Journal of Advanced Manufacturing Technology, 115(11–12), 3513–3532. https://doi.org/10.1007/s00170-021-07248-3
ELSA | DOI | WoS
 

2021 | Zeitschriftenaufsatz | ELSA-ID: 6689 | OA
Wefing, P., Conradi, F., Rämisch, J., Neubauer, P., & Schneider, J. (2021). Determination of free amino nitrogen in beer mash with an inline NIR transflectance probe and data evaluation by machine learning algorithms. Brewing Science , 74(9/10), 107–121. https://doi.org/10.23763/BrSc21-10wefing
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2020 | Konferenz - Beitrag | ELSA-ID: 4097 | OA
Besginow, A., Büttner, S., & Röcker, C. (2020). Making Object Detection Available to Everyone - A Hardware Prototype for Semi-automatic Synthetic Data Generation. 22nd International Conference on Human-Computer Interaction, 12203, 178–192. https://doi.org/10.1007/978-3-030-50344-4_14
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2020 | Konferenzband - Beitrag | ELSA-ID: 12812
Berns, F., Lange-Hegermann, M., & Beecks, C. (2020). Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0. In H. Panetto, K. Madani, & A. Smirnov (Eds.), Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics IN4PL - Volume 1 (pp. 87–92). SCITEPRESS - Science and Technology Publications. https://doi.org/10.5220/0010130300870092
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2018 | Konferenz - Beitrag | ELSA-ID: 4327 | OA
Lang, D., Wunderlich, P., Heinz, M., Wisniewski, L., Jasperneite, J., Niggemann, O., & Röcker, C. (2018). Assistance System to Support Troubleshooting of Complex Industrial Systems. In 14th IEEE International Workshop on Factory Communication Systems (WFCS). Piscataway, NJ: IEEE. https://doi.org/10.1109/WFCS.2018.8402380
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2017 | Konferenz - Beitrag | ELSA-ID: 4254 | OA
Büttner, S., Wunderlich, P., Heinz, M., Niggemann, O., & Röcker, C. (2017). Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction. In A. Holzinger (Ed.), Machine Learning and Knowledge Extraction : First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings (Vol. 10410, pp. 69–82). Cham: Springer.
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2016 | Sammelwerk - Beitrag | ELSA-ID: 4298
Robert, S., Büttner, S., Röcker, C., & Holzinger, A. (2016). Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning. In A. Holzinger (Ed.), Machine Learning for Health Informatics : State-of-the-Art and Future Challenges (Vol. 9605, pp. 357–376). Cham, CH: Springer. https://doi.org/10.1007/978-3-319-50478-0_18
ELSA | DOI
 

2015 | Sammelwerk | ELSA-ID: 4336 | OA
Holzinger, A., Röcker, C., & Ziefle, M. (Eds.). (2015). Smart Health: Open Problems and Future Challenges (Vol. 8700). Heidelberg: Springer. https://doi.org/10.1007/978-3-319-16226-3
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2015 | Konferenz - Beitrag | ELSA-ID: 2167 | OA
Niggemann, O., & Lohweg, V. (2015). On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda. In Twenty-Ninth Conference on Artificial Intelligence (AAAI-15). Austin, Texas, USA.
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2010 | Konferenz - Beitrag | ELSA-ID: 2087 | OA
Mönks, U., Lohweg, V., & Petker, D. (2010). Fuzzy-Pattern-Classifier Training with Small Data Sets. In IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems. 28 Jun 2010 - 02 July 2010, Dortmund, Germany.
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