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3424 Publikationen
2023 | Artikel | FH-PUB-ID: 4285 | 
A. K. Schnatmann, F. Schoden, A. Ehrmann, and E. Schwenzfeier-Hellkamp, “R principles for circular economy in the textile industry – a mini-review,” Communications in Development and Assembling of Textile Products, vol. 4, no. 2, pp. 294–305, 2023.
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2023 | Lehrbuch | FH-PUB-ID: 4552
J. Horst et al., Tabellenbuch Maschinenbau Hochschule. Haan-Gruiten: VERLAG EUROPA-LEHRMITTEL, 2023.
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2023 | Buchbeitrag | FH-PUB-ID: 3222
S. Sanaullah, S. Koravuna, U. Rückert, and T. Jungeblut, “Streamlined Training of GCN for Node Classification with Automatic Loss Function and Optimizer Selection,” in Engineering Applications of Neural Networks. 24th International Conference, EAAAI/EANN 2023, León, Spain, June 14–17, 2023, Proceedings, L. Iliadis, I. Maglogiannis, S. Alonso, C. Jayne, and E. Pimenidis, Eds. Cham: Springer Nature Switzerland, 2023, pp. 191–202.
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2023 | Artikel | FH-PUB-ID: 3482 |
S. Sanaullah, S. Koravuna, U. Rückert, and T. Jungeblut, “Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim,” International Journal of Neural Systems, 2023.
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2023 | Artikel | FH-PUB-ID: 3572 |
S. Sanaullah, S. Koravuna, U. Rückert, and T. Jungeblut, “Exploring spiking neural networks: a comprehensive analysis of mathematical models and applications,” Frontiers in Computational Neuroscience, vol. 17, 2023.
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2023 | Artikel | FH-PUB-ID: 3665 |
S. Sanaullah, S. Koravuna, U. Ruckert, and T. Jungeblut, “Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures,” Preprint, 2023.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3644 |
S. Sanaullah, S. Koravuna, U. Rückert, and T. Jungeblut, “Transforming Event-Based into Spike-Rate Datasets for Enhancing Neuronal Behavior Simulation to Bridging the Gap for SNNs,” presented at the International Conference on Computer Vision (ICCV) 2023, Paris France, 2023.
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2023 | Konferenzbeitrag | FH-PUB-ID: 4207 |
S. Sanaullah and T. Jungeblut, “Analysis of MR Images for Early and Accurate Detection of Brain Tumor using Resource Efficient Simulator Brain Analysis,” presented at the 19th International Conference on Machine Learning and Data Mining MLDM, New York USA, 2023.
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2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 4206 |
S. Sanaullah, A. Amanullah, K. Roy, J.-A. Lee, S. Chul-Jun, and T. Jungeblut, “A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting,” presented at the International Conference on Computer Vision (ICCV) 2023, Paris France, 2023.
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2023 | Konferenzbeitrag | FH-PUB-ID: 4205 |
S. Sanaullah, S. Koravuna, U. Rückert, and T. Jungeblut, “A Novel Spike Vision Approach for Robust Multi-Object Detection using SNNs,” presented at the Conference: Novel Trends in Data Science 2023, Congressi Stefano Franscini at Monte Verità in Ticino, Switzerland, 2023.
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2023 | Konferenzbeitrag | FH-PUB-ID: 4208
S. Koravuna, S. Sanaullah, T. Jungeblut, and U. Rückert, “Digit Recognition Using Spiking Neural Networks on FPGA,” in Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I, 2023, pp. 406–417.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3297 |
S. Schultenkämper and F. Bäumer, “Protecting Your Online Privacy: Insights on Digital Twins and Threat Detection,” in The Fifteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2023). Special Track DaMIA: Data Mining in Industrial Applications of Digital Twins., 2023, pp. 2–5.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3296 |
S. Schultenkämper and F. Bäumer, “Looking for a Needle in a Haystack: How Can Vision-Language Understanding Help to Identify Privacy-Threatening Images on the Web,” in ICIW 2023 : The Eighteenth International Conference on Internet and Web Applications and Services, Nizza, 2023, pp. 2–6.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3612
S. Schultenkämper, F. Bäumer, B. Bellgrau, Y. S. Lee, and M. Geierhos, “From Digital Tracks to Digital Twins: On the Path to Cross-Platform Profile Linking,” in 27th International Conference on Enterprise Design, Operations Computing (EDOC 2023): First Workshop on the Modelling and Implementation of Digital Twins for Complex Systems), Groningen, Niederlande, 2023.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3606
S. Schultenkämper and F. Bäumer, “Privacy Risks in German Patient Forums: A NER-based Approach to Enrich Digital Twins,” in Information and Software Technologies. 29th International Conference, ICIST 2023, Kaunas, Lithuania, October 12–14, 2023, Proceedings, Kaunas, Lithuania, 2023.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3614 |
S. Schultenkämper, F. Bäumer, M. Geierhos, and Y. S. Lee, “From Unstructured Data to Digital Twins: From Tweets to Structured Knowledge,” in Proceedings of the Thirteenth International Conference on Social Media Technologies, Communication, and Informatics (SOTICS 2023), Valencia, Spanien, 2023.
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2023 | Buchbeitrag | FH-PUB-ID: 3633
D. Eller et al., “Exchanging Files Securely in a Stationary Telepresence Consultation System Using Jitsi Meet,” in HCI International 2023 Posters. 25th International Conference on Human-Computer Interaction, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings, Part III, C. Stephanidis, M. Antona, S. Ntoa, and G. Salvendy, Eds. Cham: Springer Nature Switzerland, 2023, pp. 60–67.
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2023 | Konferenzbeitrag | FH-PUB-ID: 2887
K. Rink et al., “Walking Down the Road to Independent Mobility: An Adaptive Route Training System for the Cognitively Impaired,” in “Software Engineering in Society” (SEIS) track, Melbourne (Australia), 2023.
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