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2520 Publikationen
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 Preprint, Unpublished, 2023, doi:10.13140/RG.2.2.21295.71847.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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