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15 Publikationen


2024 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 11808
Klepp, Georg Heinrich: Modelling activated carbon hydrogen storage tanks using machine learning models, in: Energy : the international journal ; technologies, resources, reserves, demands, impact, conservation, management, policy 306 (2024).
ELSA | DOI
 

2024 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12167
Subramanian, Ramakrishnan/Büker, Ulrich: Study of Contactless Computer Vision-Based Road Condition Estimation Methods Within the Framework of an Operational Design Domain Monitoring System, in: Eng : advances in engineering 5 (2024), H. 4,  S. 2778–2804.
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2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12785
Wunderlich, Paul/Wiegräbe, Frauke/Dörksen, Helene: Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance, in: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 20 (2023), H. 2.
ELSA | DOI | WoS | PubMed | Europe PMC
 

2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12806
Hinterleitner, Alexander u. a.: Online Machine Learning and Surrogate-Model-Based Optimization for Improved Production Processes Using a Cognitive Architecture, in:   Applied Sciences : open access journal 13 (2023), H. 20.
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2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 10216 | OA
Fulek, Ruwen u. a.: A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions, in: Pharmaceutics 15 (2023), H. 8.
ELSA | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 

2021 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12800
Strohschein, Jan u. a.: Cognitive capabilities for the CAAI in cyber-physical production systems, in: The International Journal of Advanced Manufacturing Technology 115 (2021), H. 11–12,  S. 3513–3532.
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2021 | Zeitschriftenaufsatz | ELSA-ID: 6689 | OA
Wefing, Patrick u. a.: Determination of free amino nitrogen in beer mash with an inline NIR transflectance probe and data evaluation by machine learning algorithms, in: Brewing science 74 (2021), H. 9/10,  S. 107–121.
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2020 | Konferenz - Beitrag | ELSA-ID: 4097 | OA
Besginow, Andreas/Büttner, Sebastian/Röcker, Carsten: Making Object Detection Available to Everyone - A Hardware Prototype for Semi-automatic Synthetic Data Generation, in: o. Hg.: 22nd International Conference on Human-Computer Interaction, Bd. 12203, Berlin 2020 (Lecture Notes in Computer Science ),  S. 178–192.
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2020 | Konferenzband - Beitrag | ELSA-ID: 12812
Berns, Fabian/Lange-Hegermann, Markus/Beecks, Christian: Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0, hg. von Panetto, H./Madani, K./Smirnov, A., o. O. 2020.
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2018 | Konferenz - Beitrag | ELSA-ID: 4327 | OA
Lang, Dorota et. al. (2018): Assistance System to Support Troubleshooting of Complex Industrial Systems, in: 14th IEEE International Workshop on Factory Communication Systems (WFCS), Piscataway, NJ.
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2017 | Konferenz - Beitrag | ELSA-ID: 4254 | OA
Büttner, Sebastian et. al. (2017): Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction, in: Andreas Holzinger (Hg.): 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 (=Lecture Notes in Computer Science 10410), Cham, S. 69–82.
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2016 | Sammelwerk - Beitrag | ELSA-ID: 4298
Robert, Sebastian et. al. (2016): Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning, in: Andreas Holzinger (Hg.): Machine Learning for Health Informatics : State-of-the-Art and Future Challenges (=Lecture Notes in Computer Science /  Lecture Notes in Artificial Intelligence 9605), Cham, CH, S. 357–376.
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2015 | Sammelwerk | ELSA-ID: 4336 | OA
Holzinger, Andreas et. al. (Hgg.) (2015): Smart Health: Open Problems and Future Challenges (=Lecture Notes in Computer Science /  Information Systems and Applications, incl. Internet/Web, and HCI 8700), Heidelberg.
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2015 | Konferenz - Beitrag | ELSA-ID: 2167 | OA
Niggemann, Oliver/Lohweg, Volker (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, Uwe et. al. (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.
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Zitationsstil: Universität Freiburg

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