Please note that HSBI-PUB no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
2533 Publikationen
2023 | Buchbeitrag | FH-PUB-ID: 3222
Sanaullah, Sanaullah, Shamini Koravuna, Ulrich Rückert, and Thorsten 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, edited by Lazaros Iliadis, Ilias Maglogiannis, Serafin Alonso, Chrisina Jayne, and Elias Pimenidis, 191–202. Communications in Computer and Information Science. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-34204-2_17.
HSBI-PUB
| DOI
2023 | Artikel | FH-PUB-ID: 3482 | 
Sanaullah, Sanaullah, Shamini Koravuna, Ulrich Rückert, and Thorsten Jungeblut. “Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim.” International Journal of Neural Systems, 2023. https://doi.org/10.1142/S0129065723500442.
HSBI-PUB
| DOI
| Download (ext.)
2023 | Artikel | FH-PUB-ID: 3572 |
Sanaullah, Sanaullah, Shamini Koravuna, Ulrich Rückert, and Thorsten Jungeblut. “Exploring Spiking Neural Networks: A Comprehensive Analysis of Mathematical Models and Applications.” Frontiers in Computational Neuroscience 17 (2023). https://doi.org/10.3389/fncom.2023.1215824.
HSBI-PUB
| DOI
| Download (ext.)
2023 | Artikel | FH-PUB-ID: 3666
Koravuna, Shamini, Ulrich Rückert, and Thorsten Jungeblut. “Evaluating Spiking Neural Network Models: A Comparative Performance Analysis.” Preprint, 2023. https://doi.org/10.13140/RG.2.2.21295.71847.
HSBI-PUB
| DOI
2023 | Artikel | FH-PUB-ID: 3665 |
Sanaullah, Sanaullah, Shamini Koravuna, Ulrich Ruckert, and Thorsten Jungeblut. “Design-Space Exploration of SNN Models Using Application-Specific Multi-Core Architectures.” Preprint, 2023. https://doi.org/10.13140/RG.2.2.26328.88324.
HSBI-PUB
| DOI
| Download (ext.)
2023 | Konferenzbeitrag | FH-PUB-ID: 3644 |
Sanaullah, Sanaullah, Shamini Koravuna, Ulrich Rückert, and Thorsten Jungeblut. “Transforming Event-Based into Spike-Rate Datasets for Enhancing Neuronal Behavior Simulation to Bridging the Gap for SNNs.” Paris France , 2023. https://doi.org/10.13140/RG.2.2.14469.32485.
HSBI-PUB
| DOI
| Download (ext.)
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.” New York USA, 2023. https://doi.org/10.5281/zenodo.10457930.
HSBI-PUB
| DOI
| Download (ext.)
2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 4206 |
Sanaullah, Sanaullah, Amanullah Amanullah, Kaushik Roy, Jeong-A Lee, Son Chul-Jun, and Thorsten Jungeblut. “A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting,” 2023. https://doi.org/10.5281/zenodo.10458019.
HSBI-PUB
| DOI
| Download (ext.)
2023 | Konferenzbeitrag | FH-PUB-ID: 4205 |
Sanaullah, Sanaullah, Shamini Koravuna, Ulrich Rückert, and Thorsten Jungeblut. “A Novel Spike Vision Approach for Robust Multi-Object Detection Using SNNs,” 2023. https://doi.org/10.5281/zenodo.10262228.
HSBI-PUB
| DOI
| Download (ext.)
2023 | Konferenzbeitrag | FH-PUB-ID: 4208
Koravuna, Shamini, Sanaullah Sanaullah, Thorsten Jungeblut, and Ulrich 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, edited by Ignacio Rojas, Gonzalo Joya, and Andreu Catala, 406–17. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-43085-5_32.
HSBI-PUB
| DOI