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380 Publikationen
2024 | Artikel | FH-PUB-ID: 5497
Weller, Julian, et al. “Design Decisions for Integrating Prescriptive Analytics Use Cases into Smart Factories.” Procedia CIRP, vol. 128, Elsevier BV, 2024, pp. 424–29, doi:10.1016/j.procir.2024.03.022.
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2024 | Artikel | FH-PUB-ID: 5500 | 
Shah, Zafran Hussain, et al. “Evaluation of Swin Transformer and Knowledge Transfer for Denoising of Super-Resolution Structured Illumination Microscopy Data.” GigaScience, vol. 13, Oxford University Press (OUP), 2024, doi:10.1093/gigascience/giad109.
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2024 | Artikel | FH-PUB-ID: 5499
Shah, Zafran Hussain, et al. “Image Restoration in Frequency Space Using Complex-Valued CNNs.” Frontiers in Artificial Intelligence, vol. 7, Frontiers Media SA, 2024, doi:10.3389/frai.2024.1353873.
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2024 | Artikel | FH-PUB-ID: 5501
Rauber, Anne, and Barbara Umrath. “Auf den Schultern von Riesinnen? Zur Aktualität von Regina Becker-Schmidt.” Gender Blog, DuEPublico, 2024, doi:10.17185/GENDER/20241105.
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2024 | Artikel | FH-PUB-ID: 5504
Rauber, Anne. “Sexuelle Selbstbestimmung stärken: Perspektiven von Mädchen auf Reproduktion und Verhütung.” Betrifft Mädchen, vol. 37, no. 2, Beltz Juventa, 2024, pp. 65–71, doi:10.3262/BEM2402065.
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2024 | Fachbuch | FH-PUB-ID: 5505
Rauber, Anne. Caring Girlhood – Verhütung als Sorgearbeit von Mädchen. Vol. 85, Springer VS Verlag, 2024, doi:10.1007/978-3-658-46048-8.
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2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 5483
Bruland, Dirk, et al. DGeKo MmgB - Stärkung Der Digitalen Gesundheitskompetenz von Menschen Mit Zugeschriebener Geistiger Behinderung. 2024.
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2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 5485
Bruland, Dirk, et al. Digital Health Literacy of People with Intellectual Disabilities. 2024.
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2024 | Artikel | FH-PUB-ID: 4050
Migenda, Nico, et al. “Adaptive Local Principal Component Analysis Improves the Clustering of High-Dimensional Data.” Pattern Recognition, vol. 146, 110030, Elsevier BV, 2024, doi:10.1016/j.patcog.2023.110030.
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2024 | Artikel | FH-PUB-ID: 4698
Migenda, Nico, et al. “NGPCA: Clustering of High-Dimensional and Non-Stationary Data Streams.” Software Impacts, vol. 20, 100635, Elsevier BV, 2024, doi:10.1016/j.simpa.2024.100635.
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| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 4699
Niederhaus, Marvin, et al. “Technical Readiness of Prescriptive Analytics Platforms: A Survey.” 2024 35th Conference of Open Innovations Association (FRUCT), edited by IEEE, IEEE, 2024, pp. 509–19, doi:10.23919/FRUCT61870.2024.10516367.
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2024 | Buchbeitrag | FH-PUB-ID: 4915
Weller, Julian, et al. “Towards a Systematic Approach for Prescriptive Analytics Use Cases in Smart Factories.” Machine Learning for Cyber-Physical Systems. Selected Papers from the International Conference ML4CPS 2023, edited by Oliver Niggemann et al., vol. 18, Springer Nature Switzerland, 2024, pp. 89–100, doi:10.1007/978-3-031-47062-2_9.
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2024 | Artikel | FH-PUB-ID: 4913
Weller, Julian, et al. “Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories.” Mathematics, vol. 12, no. 17, 2663, MDPI AG, 2024, doi:10.3390/math12172663.
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2024 | Konferenzbeitrag | FH-PUB-ID: 4644
Klein, Lukas, et al. “Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data.” Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings, edited by Dario Salvi et al., Springer Nature Switzerland, 2024, pp. 423–37, doi:10.1007/978-3-031-59717-6_27.
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2024 | Konferenzbeitrag | FH-PUB-ID: 5189
Breustedt, Lukas, et al. The Duality of In-Store Services: Benefits of Tracking and Targeting for Brick-and-Mortar Retailers. 2024.
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2024 | Konferenzbeitrag | FH-PUB-ID: 5188
Breustedt, Lukas, et al. Online in the Store: Leveraging Tracking and Targeting for Brick-and-Mortar Retailing. 2024.
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2024 | Konferenzbeitrag | FH-PUB-ID: 5467
Müller, Arthur, et al. “Smaller Batches, Bigger Gains? Investigating the Impact of Batch Sizes on Reinforcement Learning Based Real-World Production Scheduling.” 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA), edited by IEEE, IEEE, 2024, pp. 01–08, doi:10.1109/ETFA61755.2024.10711145.
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2024 | Artikel | FH-PUB-ID: 5470 |
Fischer, Daniel, et al. “Demystifying Reinforcement Learning in Production Scheduling via Explainable AI.” ArXiv, Cornell University, 2024, doi:10.48550/ARXIV.2408.09841.
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2024 | Artikel | FH-PUB-ID: 5472 |
Döring, Lina, et al. “Optimizing Sales Forecasts through Automated Integration of Market Indicators.” ArXiv, Cornell University, 2024, doi:10.48550/ARXIV.2406.07564.
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2024 | Diskussionspapier | FH-PUB-ID: 5430
Beer, Christian. The Impact of International Sanctions against Russia on the Stock Market - Investor Sentiment and Sanction Types.
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