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3799 Publikationen
2023 | Konferenzbeitrag | FH-PUB-ID: 3701
J. Stadtmann, T. Kampe, and B. Wach, “Lessons from entrepreneurship education: Diary studies on entrepreneurial intentions,” in G-Forum Jahreskonferenz 2023, 26. Interdisziplinäre Jahreskonferenz zu Entrepreneurship, Innovation und Mittelstand, Darmstadt, 27.-29.09., Darmstadt, 2023.
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2023 | Diskussionspapier | FH-PUB-ID: 3321 | 
K. Abdelhak, B. Bachmann, R. Derdau, A. Hartmann, and H.-J. Kruse, DETERMINISTISCHE UND BIONISCHE HEURISTIKEN ZUR LÖSUNG VON ENTSORGUNGSPROBLEMEN - Am Beispiel des Laubharkproblems, vol. 5. 2023.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3062 |
A. Matutat, B. C. George, and C. Gips, “Selbstgesteuertes Lernen im Dungeon,” presented at the University:Future Festival (Hochschulforum Digitalisierung und StIL), Berlin, Bochum, Heilbronn, 2023.
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2023 | Konferenzbeitrag | FH-PUB-ID: 4295 |
A. Matutat, M. Reinsch, A. Kirsch, B. C. George, and C. Gips, “Learning by Questing,” in StartPlay 2023 : Proceedings of the 2nd Interdisciplinary Conference on Gamification and Innovation, Bergische Universität Wuppertal, 2023.
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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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