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3719 Publikationen
2023 | Artikel | FH-PUB-ID: 4446
N. Madeira Firmino and J. Bauknecht, “Gleich nach der Pflege kommt die Kita. Psychische und emotionale Erschöpfung bei Fachkräften,” Krippenkinder, no. 5, pp. 24–29, 2023.
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2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 4431 | 
M. Eisfeld, “Nutzung von Künstlicher Intelligenz in der BIM-basierten Tragwerksplanung,” presented at the 20. buildingSMART-Anwendertag 2023, Stuttgart, 2023.
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2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 4561 |
L. Schwan, M. Feige, A. Hütten, and S. Schöning, “Equivalent Circuit for the Consideration of Frequency-Dependent Effects in Electronics Simulations of Induction Hobs,” presented at the DPG Frühjahrstagung Sektion Kondensierte Materie, Dresden, 2023.
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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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