PUBLIKATIONSSERVER

Sanaullah Sanaullah

https://orcid.org/0000-0003-4112-802X

29 Publikationen

Alle markieren

[29]
2025 | Artikel | FH-PUB-ID: 5366
Sanaullah, Sanaullah, Axel Schneider, Joachim Waßmuth, Ulrich Rückert, and Thorsten Jungeblut. “RAVSim v2.0: Enhanced Visualization and Comparative Analysis for Neural Network Models.” SoftwareX 29 (2025). https://doi.org/10.1016/j.softx.2024.102006.
HSBI-PUB | DOI
 
[28]
2025 | Konferenzbeitrag | FH-PUB-ID: 5976
Sanaullah, Sanaullah, Hirotada Honda, Kaushik Roy, Axel Schneider, Joachim Waßmuth, and Thorsten Jungeblut. “Automating Neural Model Selection in Spiking Neural Networks Using AutoML Techniques*.” In 2025 22nd International Learning and Technology Conference (L&T), 274–79. IEEE, 2025. https://doi.org/10.1109/LT64002.2025.10941536.
HSBI-PUB | DOI
 
[27]
2025 | Artikel | FH-PUB-ID: 6139
Attaullah, Hasina, Sanaullah Sanaullah, Annika Peters, Qazi Arbab Ahmed, Justin Baudisch, and Thorsten Jungeblut. “DNA: Detecting Early Signs of Neurodegenerative Diseases through Activity and Sleep Analysis.” Frontiers in Neuroscience 19 (2025). https://doi.org/10.3389/fnins.2025.1617758.
HSBI-PUB | DOI
 
[26]
2025 | Dissertation | FH-PUB-ID: 6052
Sanaullah, Sanaullah. Design-Space Exploration of Biologically-Inspired SNN Models for Application-Specific Many-Core Systems. Universität Bielefeld, 2025. https://doi.org/10.4119/UNIBI/3003814.
HSBI-PUB | DOI
 
[25]
2024 | Konferenzbeitrag | FH-PUB-ID: 4782
Sanaullah, Sanaullah, Shamini Koravuna, Ulrich Rückert, and Thorsten Jungeblut. “A Spike Vision Approach for Multi-Object Detection and Generating Dataset Using Multi-Core Architecture on Edge Device.” In Engineering Applications of Neural Networks. 25th International Conference, EANN 2024, Corfu, Greece, June 27–30, 2024, Proceedings, edited by Lazaros Iliadis, Ilias Maglogiannis, Antonios Papaleonidas, Elias Pimenidis, and Chrisina Jayne, 317–28. Communications in Computer and Information Science. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-62495-7_24.
HSBI-PUB | DOI
 
[24]
2024 | Konferenzbeitrag | FH-PUB-ID: 5367 | OA
Koravuna, Shamini, Sanaullah Sanaullah, Thorsten Jungeblut, and Ulrich Rückert. “Spiking Neural Network Models Analysis on Field Programmable Gate Arrays.” In International Conference on Intelligent and Innovative Computing Applications, edited by Sameerchand Pudaruth and Kingsley Ogudo, 2024:259–70. Society of Information Technologists and Engineers Ltd, 2024. https://doi.org/10.59200/ICONIC.2024.027.
HSBI-PUB | DOI | Download (ext.)
 
[23]
2024 | Konferenzbeitrag | FH-PUB-ID: 5315
Attaullah, Hasina, Sanaullah Sanaullah, and Thorsten Jungeblut. “FL-DL: Fuzzy Logic with Deep Learning, Hybrid Anomaly Detection and Activity Prediction in Smart Homes Data-Sets.” In 2024 IEEE 24th International Symposium on Computational Intelligence and Informatics (CINTI), 43–48. Budapest, Hungary: IEEE, 2024. https://doi.org/10.1109/CINTI63048.2024.10830825.
HSBI-PUB | DOI
 
[22]
2024 | Konferenzbeitrag | FH-PUB-ID: 5098
Sanaullah, Sanaullah, Hasina Attaullah, and Thorsten Jungeblut. “Encryption Techniques for Privacy-Preserving CNN Models: Performance and Practicality in Urban AI Applications.” In Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI, edited by Olufemi A. Omitaomu, Ali Mostafavi, Sukanya Randhawa, and Haoran Niu, 50–53. New York, NY, USA: ACM, 2024. https://doi.org/10.1145/3681780.3697244.
HSBI-PUB | DOI
 
[21]
2024 | Konferenzbeitrag | FH-PUB-ID: 5097
Sanaullah, Sanaullah, Shamini Koravuna, Ulrich Rückert, and Thorsten Jungeblut. “Advancements in Neural Network Generations.” In Proceedings of the SAIOnARA Conference, edited by Ulrike Kuhl and DataNinja.nrw. DataNinja sAIOnARA Conference, 2024. https://doi.org/10.11576/DATANINJA-1167.
HSBI-PUB | DOI
 
[20]
2024 | Konferenzbeitrag | FH-PUB-ID: 5096
Sanaullah, Sanaullah, Hasina Attaullah, and Thorsten Jungeblut. “Trade-Offs Between Privacy and Performance in Encrypted Dataset Using Machine Learning Models.” In Proceedings of the SAIOnARA Conference, edited by Ulrike Kuhl and DataNinja.nrw. DataNinja sAIOnARA Conference, 2024. https://doi.org/10.11576/DATANINJA-1166.
HSBI-PUB | DOI
 
[19]
2024 | Artikel | FH-PUB-ID: 4997 | OA
Attaullah, Hasina, Sanaullah Sanaullah, and Thorsten Jungeblut. “Analyzing Machine Learning Models for Activity Recognition Using Homomorphically Encrypted Real-World Smart Home Datasets: A Case Study.” Applied Sciences 14, no. 19 (2024). https://doi.org/10.3390/app14199047.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[18]
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4883
Sanaullah, Sanaullah, Kaushik Roy, Ulrich Ruckert, and Thorsten Jungeblut. “Selection of Optimal Neural Model Using Spiking Neural Network for Edge Computing  .” In 2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS), edited by IEEE, 1452–53. IEEE, 2024. https://doi.org/10.1109/ICDCS60910.2024.00147.
HSBI-PUB | DOI | Inspire
 
[17]
2024 | Konferenzbeitrag | FH-PUB-ID: 4811
Sanaullah, Sanaullah, Hasina Attaullah, and Thorsten Jungeblut. “The Next-Gen Interactive Runtime Simulator for Neural Network Programming.” In Companion Proceedings of the 8th International Conference on the Art, Science, and Engineering of Programming, edited by Emma Söderberg and Luke Church, 8–10. New York, NY, USA: ACM, 2024. https://doi.org/10.1145/3660829.3660833.
HSBI-PUB | DOI
 
[16]
2024 | Konferenzbeitrag | FH-PUB-ID: 4783 | OA
Sanaullah, Sanaullah, Kaushik Roy, Ulrich Rückert, and Thorsten Jungeblut. “A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models.” In Proceedings of the 5th Northern Lights Deep Learning Conference, edited by Tetiana Lutchyn, Adín Ramírez Rivera, and Benjamin Ricaud, Vol. 233. UiT The Arctic University, Tromsø, Norway: Proceedings of Machine Learning Research (PMLR), 2024. https://doi.org/10.48550/arXiv.2407.08861.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.) | WoS | arXiv
 
[15]
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
 
[14]
2023 | Artikel | FH-PUB-ID: 3482 | OA
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.)
 
[13]
2023 | Artikel | FH-PUB-ID: 3572 | OA
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.)
 
[12]
2023 | Artikel | FH-PUB-ID: 3665 | OA
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.)
 
[11]
2023 | Konferenzbeitrag | FH-PUB-ID: 3644 | OA
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.)
 
[10]
2023 | Konferenzbeitrag | FH-PUB-ID: 4207 | OA
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.)
 
[9]
2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 4206 | OA
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.)
 
[8]
2023 | Konferenzbeitrag | FH-PUB-ID: 4205 | OA
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.)
 
[7]
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
 
[6]
2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 2919 | OA
Sanaullah, Sanaullah, Shamini Koravuna, Ulrich Rückert, and Thorsten Jungeblut. “Evaluating Spiking Neural Network Models: A Comparative Performance Analysis,” n.d. https://doi.org/10.13140/RG.2.2.36122.82886.
HSBI-PUB | DOI | Download (ext.)
 
[5]
2022 | Konferenzbeitrag | FH-PUB-ID: 2757
Sanaullah, Sanaullah, Shamini Koravuna, Thorsten Jungeblut, and Ulrich Rückert. “NireHApS: Neuro-Inspired and Resource-Efficient Hardware-Architectures for Plastic SNNs,” 2022. https://doi.org/10.13140/RG.2.2.16202.85444.
HSBI-PUB | DOI
 
[4]
2022 | Kurzbeitrag Konferenz | FH-PUB-ID: 2753
Sanaullah, Sanaullah, Shamini Koravuna, Ulrich Rückert, and Thorsten Jungeblut. “Real-Time Resource Efficient Simulator for SNNs-Based Model Experimentation.” Dataninja Spring School 2022. Bielefeld University, Germany , 2022. https://doi.org/10.13140/RG.2.2.24761.85607.
HSBI-PUB | DOI
 
[3]
2022 | Konferenzbeitrag | FH-PUB-ID: 3480 | OA
Sanaullah, Sanaullah, Shamini Koravuna, Ulrich Ruckert, and Thorsten Jungeblut. “Real-Time SNNs Model Analyzing and Visualizing Experimentation.” Unpublished, 2022. https://doi.org/10.13140/RG.2.2.14584.83201/1.
HSBI-PUB | DOI | Download (ext.)
 
[2]
2022 | Konferenzbeitrag | FH-PUB-ID: 2276
Sanaullah, Sanaullah, Shamini Koravuna, Ulrich Rückert, and Thorsten Jungeblut. “SNNs Model Analyzing and Visualizing Experimentation Using RAVSim.” In Engineering Applications of Neural Networks. 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings, edited by Lazaros Iliadis, Chrisina Jayne, Anastasios Tefas, and Elias Pimenidis, 40–51. Communications in Computer and Information Science. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-08223-8_4.
HSBI-PUB | DOI
 
[1]
2019 | Konferenzbeitrag | FH-PUB-ID: 2975 | OA
Sanaullah, Sanaullah, Hasan Baig, and Jeong A Lee. “Accelerating the Threshold and Timing Analysis of Genetic Logic Circuit Models,” n.d. https://doi.org/10.13140/RG.2.2.27989.50402.
HSBI-PUB | DOI | Download (ext.)
 
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29 Publikationen

Alle markieren

[29]
2025 | Artikel | FH-PUB-ID: 5366
Sanaullah, Sanaullah, Axel Schneider, Joachim Waßmuth, Ulrich Rückert, and Thorsten Jungeblut. “RAVSim v2.0: Enhanced Visualization and Comparative Analysis for Neural Network Models.” SoftwareX 29 (2025). https://doi.org/10.1016/j.softx.2024.102006.
HSBI-PUB | DOI
 
[28]
2025 | Konferenzbeitrag | FH-PUB-ID: 5976
Sanaullah, Sanaullah, Hirotada Honda, Kaushik Roy, Axel Schneider, Joachim Waßmuth, and Thorsten Jungeblut. “Automating Neural Model Selection in Spiking Neural Networks Using AutoML Techniques*.” In 2025 22nd International Learning and Technology Conference (L&T), 274–79. IEEE, 2025. https://doi.org/10.1109/LT64002.2025.10941536.
HSBI-PUB | DOI
 
[27]
2025 | Artikel | FH-PUB-ID: 6139
Attaullah, Hasina, Sanaullah Sanaullah, Annika Peters, Qazi Arbab Ahmed, Justin Baudisch, and Thorsten Jungeblut. “DNA: Detecting Early Signs of Neurodegenerative Diseases through Activity and Sleep Analysis.” Frontiers in Neuroscience 19 (2025). https://doi.org/10.3389/fnins.2025.1617758.
HSBI-PUB | DOI
 
[26]
2025 | Dissertation | FH-PUB-ID: 6052
Sanaullah, Sanaullah. Design-Space Exploration of Biologically-Inspired SNN Models for Application-Specific Many-Core Systems. Universität Bielefeld, 2025. https://doi.org/10.4119/UNIBI/3003814.
HSBI-PUB | DOI
 
[25]
2024 | Konferenzbeitrag | FH-PUB-ID: 4782
Sanaullah, Sanaullah, Shamini Koravuna, Ulrich Rückert, and Thorsten Jungeblut. “A Spike Vision Approach for Multi-Object Detection and Generating Dataset Using Multi-Core Architecture on Edge Device.” In Engineering Applications of Neural Networks. 25th International Conference, EANN 2024, Corfu, Greece, June 27–30, 2024, Proceedings, edited by Lazaros Iliadis, Ilias Maglogiannis, Antonios Papaleonidas, Elias Pimenidis, and Chrisina Jayne, 317–28. Communications in Computer and Information Science. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-62495-7_24.
HSBI-PUB | DOI
 
[24]
2024 | Konferenzbeitrag | FH-PUB-ID: 5367 | OA
Koravuna, Shamini, Sanaullah Sanaullah, Thorsten Jungeblut, and Ulrich Rückert. “Spiking Neural Network Models Analysis on Field Programmable Gate Arrays.” In International Conference on Intelligent and Innovative Computing Applications, edited by Sameerchand Pudaruth and Kingsley Ogudo, 2024:259–70. Society of Information Technologists and Engineers Ltd, 2024. https://doi.org/10.59200/ICONIC.2024.027.
HSBI-PUB | DOI | Download (ext.)
 
[23]
2024 | Konferenzbeitrag | FH-PUB-ID: 5315
Attaullah, Hasina, Sanaullah Sanaullah, and Thorsten Jungeblut. “FL-DL: Fuzzy Logic with Deep Learning, Hybrid Anomaly Detection and Activity Prediction in Smart Homes Data-Sets.” In 2024 IEEE 24th International Symposium on Computational Intelligence and Informatics (CINTI), 43–48. Budapest, Hungary: IEEE, 2024. https://doi.org/10.1109/CINTI63048.2024.10830825.
HSBI-PUB | DOI
 
[22]
2024 | Konferenzbeitrag | FH-PUB-ID: 5098
Sanaullah, Sanaullah, Hasina Attaullah, and Thorsten Jungeblut. “Encryption Techniques for Privacy-Preserving CNN Models: Performance and Practicality in Urban AI Applications.” In Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI, edited by Olufemi A. Omitaomu, Ali Mostafavi, Sukanya Randhawa, and Haoran Niu, 50–53. New York, NY, USA: ACM, 2024. https://doi.org/10.1145/3681780.3697244.
HSBI-PUB | DOI
 
[21]
2024 | Konferenzbeitrag | FH-PUB-ID: 5097
Sanaullah, Sanaullah, Shamini Koravuna, Ulrich Rückert, and Thorsten Jungeblut. “Advancements in Neural Network Generations.” In Proceedings of the SAIOnARA Conference, edited by Ulrike Kuhl and DataNinja.nrw. DataNinja sAIOnARA Conference, 2024. https://doi.org/10.11576/DATANINJA-1167.
HSBI-PUB | DOI
 
[20]
2024 | Konferenzbeitrag | FH-PUB-ID: 5096
Sanaullah, Sanaullah, Hasina Attaullah, and Thorsten Jungeblut. “Trade-Offs Between Privacy and Performance in Encrypted Dataset Using Machine Learning Models.” In Proceedings of the SAIOnARA Conference, edited by Ulrike Kuhl and DataNinja.nrw. DataNinja sAIOnARA Conference, 2024. https://doi.org/10.11576/DATANINJA-1166.
HSBI-PUB | DOI
 
[19]
2024 | Artikel | FH-PUB-ID: 4997 | OA
Attaullah, Hasina, Sanaullah Sanaullah, and Thorsten Jungeblut. “Analyzing Machine Learning Models for Activity Recognition Using Homomorphically Encrypted Real-World Smart Home Datasets: A Case Study.” Applied Sciences 14, no. 19 (2024). https://doi.org/10.3390/app14199047.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[18]
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4883
Sanaullah, Sanaullah, Kaushik Roy, Ulrich Ruckert, and Thorsten Jungeblut. “Selection of Optimal Neural Model Using Spiking Neural Network for Edge Computing  .” In 2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS), edited by IEEE, 1452–53. IEEE, 2024. https://doi.org/10.1109/ICDCS60910.2024.00147.
HSBI-PUB | DOI | Inspire
 
[17]
2024 | Konferenzbeitrag | FH-PUB-ID: 4811
Sanaullah, Sanaullah, Hasina Attaullah, and Thorsten Jungeblut. “The Next-Gen Interactive Runtime Simulator for Neural Network Programming.” In Companion Proceedings of the 8th International Conference on the Art, Science, and Engineering of Programming, edited by Emma Söderberg and Luke Church, 8–10. New York, NY, USA: ACM, 2024. https://doi.org/10.1145/3660829.3660833.
HSBI-PUB | DOI
 
[16]
2024 | Konferenzbeitrag | FH-PUB-ID: 4783 | OA
Sanaullah, Sanaullah, Kaushik Roy, Ulrich Rückert, and Thorsten Jungeblut. “A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models.” In Proceedings of the 5th Northern Lights Deep Learning Conference, edited by Tetiana Lutchyn, Adín Ramírez Rivera, and Benjamin Ricaud, Vol. 233. UiT The Arctic University, Tromsø, Norway: Proceedings of Machine Learning Research (PMLR), 2024. https://doi.org/10.48550/arXiv.2407.08861.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.) | WoS | arXiv
 
[15]
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
 
[14]
2023 | Artikel | FH-PUB-ID: 3482 | OA
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.)
 
[13]
2023 | Artikel | FH-PUB-ID: 3572 | OA
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.)
 
[12]
2023 | Artikel | FH-PUB-ID: 3665 | OA
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.)
 
[11]
2023 | Konferenzbeitrag | FH-PUB-ID: 3644 | OA
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.)
 
[10]
2023 | Konferenzbeitrag | FH-PUB-ID: 4207 | OA
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.)
 
[9]
2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 4206 | OA
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.)
 
[8]
2023 | Konferenzbeitrag | FH-PUB-ID: 4205 | OA
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.)
 
[7]
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
 
[6]
2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 2919 | OA
Sanaullah, Sanaullah, Shamini Koravuna, Ulrich Rückert, and Thorsten Jungeblut. “Evaluating Spiking Neural Network Models: A Comparative Performance Analysis,” n.d. https://doi.org/10.13140/RG.2.2.36122.82886.
HSBI-PUB | DOI | Download (ext.)
 
[5]
2022 | Konferenzbeitrag | FH-PUB-ID: 2757
Sanaullah, Sanaullah, Shamini Koravuna, Thorsten Jungeblut, and Ulrich Rückert. “NireHApS: Neuro-Inspired and Resource-Efficient Hardware-Architectures for Plastic SNNs,” 2022. https://doi.org/10.13140/RG.2.2.16202.85444.
HSBI-PUB | DOI
 
[4]
2022 | Kurzbeitrag Konferenz | FH-PUB-ID: 2753
Sanaullah, Sanaullah, Shamini Koravuna, Ulrich Rückert, and Thorsten Jungeblut. “Real-Time Resource Efficient Simulator for SNNs-Based Model Experimentation.” Dataninja Spring School 2022. Bielefeld University, Germany , 2022. https://doi.org/10.13140/RG.2.2.24761.85607.
HSBI-PUB | DOI
 
[3]
2022 | Konferenzbeitrag | FH-PUB-ID: 3480 | OA
Sanaullah, Sanaullah, Shamini Koravuna, Ulrich Ruckert, and Thorsten Jungeblut. “Real-Time SNNs Model Analyzing and Visualizing Experimentation.” Unpublished, 2022. https://doi.org/10.13140/RG.2.2.14584.83201/1.
HSBI-PUB | DOI | Download (ext.)
 
[2]
2022 | Konferenzbeitrag | FH-PUB-ID: 2276
Sanaullah, Sanaullah, Shamini Koravuna, Ulrich Rückert, and Thorsten Jungeblut. “SNNs Model Analyzing and Visualizing Experimentation Using RAVSim.” In Engineering Applications of Neural Networks. 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings, edited by Lazaros Iliadis, Chrisina Jayne, Anastasios Tefas, and Elias Pimenidis, 40–51. Communications in Computer and Information Science. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-08223-8_4.
HSBI-PUB | DOI
 
[1]
2019 | Konferenzbeitrag | FH-PUB-ID: 2975 | OA
Sanaullah, Sanaullah, Hasan Baig, and Jeong A Lee. “Accelerating the Threshold and Timing Analysis of Genetic Logic Circuit Models,” n.d. https://doi.org/10.13140/RG.2.2.27989.50402.
HSBI-PUB | DOI | Download (ext.)
 
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