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3424 Publikationen
2023 | Artikel | FH-PUB-ID: 4285 | 
Schnatmann, Anna Katharina, et al. “R Principles for Circular Economy in the Textile Industry – a Mini-Review.” Communications in Development and Assembling of Textile Products, vol. 4, no. 2, Sachsische Landesbibliothek, Staats- und Universitatsbibliothek Dresden, 2023, pp. 294–305, doi:10.25367/cdatp.2023.4.p295-305.
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2023 | Lehrbuch | FH-PUB-ID: 4552
Horst, Jörg, et al. Tabellenbuch Maschinenbau Hochschule. VERLAG EUROPA-LEHRMITTEL, 2023.
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2023 | Buchbeitrag | FH-PUB-ID: 3222
Sanaullah, Sanaullah, et al. “Streamlined Training of GCN for Node Classification with Automatic Loss Function and Optimizer Selection.” Engineering Applications of Neural Networks. 24th International Conference, EAAAI/EANN 2023, León, Spain, June 14–17, 2023, Proceedings, edited by Lazaros Iliadis et al., Springer Nature Switzerland, 2023, pp. 191–202, doi:10.1007/978-3-031-34204-2_17.
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2023 | Artikel | FH-PUB-ID: 3482 |
Sanaullah, Sanaullah, et al. “Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim.” International Journal of Neural Systems, World Scientific Pub Co Pte Ltd, 2023, doi:10.1142/S0129065723500442.
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2023 | Artikel | FH-PUB-ID: 3572 |
Sanaullah, Sanaullah, et al. “Exploring Spiking Neural Networks: A Comprehensive Analysis of Mathematical Models and Applications.” Frontiers in Computational Neuroscience, vol. 17, Frontiers Media SA, 2023, doi:10.3389/fncom.2023.1215824.
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2023 | Artikel | FH-PUB-ID: 3666
Koravuna, Shamini, et al. “Evaluating Spiking Neural Network Models: A Comparative Performance Analysis.” Preprint, Unpublished, 2023, doi:10.13140/RG.2.2.21295.71847.
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2023 | Artikel | FH-PUB-ID: 3665 |
Sanaullah, Sanaullah, et al. “Design-Space Exploration of SNN Models Using Application-Specific Multi-Core Architectures.” Preprint, 2023, doi:10.13140/RG.2.2.26328.88324.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3644 |
Sanaullah, Sanaullah, et al. Transforming Event-Based into Spike-Rate Datasets for Enhancing Neuronal Behavior Simulation to Bridging the Gap for SNNs. 2023, doi:10.13140/RG.2.2.14469.32485.
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2023 | Konferenzbeitrag | FH-PUB-ID: 4207 |
Sanaullah, Sanaullah, and Thorsten Jungeblut. Analysis of MR Images for Early and Accurate Detection of Brain Tumor Using Resource Efficient Simulator Brain Analysis. 2023, doi:10.5281/zenodo.10457930.
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2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 4206 |
Sanaullah, Sanaullah, et al. A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting. 2023, doi:10.5281/zenodo.10458019.
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2023 | Konferenzbeitrag | FH-PUB-ID: 4205 |
Sanaullah, Sanaullah, et al. A Novel Spike Vision Approach for Robust Multi-Object Detection Using SNNs. 2023, doi:10.5281/zenodo.10262228.
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2023 | Konferenzbeitrag | FH-PUB-ID: 4208
Koravuna, Shamini, et al. “Digit Recognition Using Spiking Neural Networks on FPGA.” Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I, edited by Ignacio Rojas et al., Springer Nature Switzerland, 2023, pp. 406–17, doi:10.1007/978-3-031-43085-5_32.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3297 |
Schultenkämper, Sergej, and Frederik Bäumer. “Protecting Your Online Privacy: Insights on Digital Twins and Threat Detection.” The Fifteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2023). Special Track DaMIA: Data Mining in Industrial Applications of Digital Twins., edited by IARIA, 2023, pp. 2–5.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3296 |
Schultenkämper, Sergej, and Frederik Bäumer. “Looking for a Needle in a Haystack: How Can Vision-Language Understanding Help to Identify Privacy-Threatening Images on the Web.” ICIW 2023 : The Eighteenth International Conference on Internet and Web Applications and Services, edited by IARIA, 2023, pp. 2–6.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3612
Schultenkämper, Sergej, et al. “From Digital Tracks to Digital Twins: On the Path to Cross-Platform Profile Linking.” 27th International Conference on Enterprise Design, Operations Computing (EDOC 2023): First Workshop on the Modelling and Implementation of Digital Twins for Complex Systems), 2023, doi:10.1007/978-3-031-54712-6_10.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3606
Schultenkämper, Sergej, and Frederik Bäumer. “Privacy Risks in German Patient Forums: A NER-Based Approach to Enrich Digital Twins.” Information and Software Technologies. 29th International Conference, ICIST 2023, Kaunas, Lithuania, October 12–14, 2023, Proceedings, Springer International Publishing, 2023, doi:10.1007/978-3-031-48981-5_9.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3614 |
Schultenkämper, Sergej, et al. “From Unstructured Data to Digital Twins: From Tweets to Structured Knowledge.” Proceedings of the Thirteenth International Conference on Social Media Technologies, Communication, and Informatics (SOTICS 2023), 2023.
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2023 | Buchbeitrag | FH-PUB-ID: 3633
Eller, Dennis, et al. “Exchanging Files Securely in a Stationary Telepresence Consultation System Using Jitsi Meet.” HCI International 2023 Posters. 25th International Conference on Human-Computer Interaction, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings, Part III, edited by Constantine Stephanidis et al., Springer Nature Switzerland, 2023, pp. 60–67, doi:10.1007/978-3-031-35998-9_9.
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2023 | Konferenzbeitrag | FH-PUB-ID: 2887
Rink, Konstantin, et al. “Walking Down the Road to Independent Mobility: An Adaptive Route Training System for the Cognitively Impaired.” “Software Engineering in Society” (SEIS) Track, edited by Association for Computing Machinery, 2023, doi: https://doi.org/10.48550/arXiv.2303.06056.
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2023 | Buchbeitrag | FH-PUB-ID: 3080
Seelmeyer, Udo. “Digitalisierung Sozialer Dienste.” Handbuch Digitalisierung in Staat und Verwaltung, edited by Tanja Klenk et al., Springer Fachmedien Wiesbaden, 2023, pp. 1–12, doi:10.1007/978-3-658-23669-4_81-1.
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