PUBLIKATIONSSERVER

Sanaullah Sanaullah

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

29 Publikationen

Alle markieren

[29]
2025 | Artikel | FH-PUB-ID: 6139
Attaullah, Hasina, et al. “DNA: Detecting Early Signs of Neurodegenerative Diseases through Activity and Sleep Analysis.” Frontiers in Neuroscience, vol. 19, Frontiers Media SA, 2025, doi:10.3389/fnins.2025.1617758.
HSBI-PUB | DOI
 
[28]
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, doi:10.4119/UNIBI/3003814.
HSBI-PUB | DOI
 
[27]
2025 | Konferenzbeitrag | FH-PUB-ID: 5976
Sanaullah, Sanaullah, et al. “Automating Neural Model Selection in Spiking Neural Networks Using AutoML Techniques*.” 2025 22nd International Learning and Technology Conference (L&T), IEEE, 2025, pp. 274–79, doi:10.1109/LT64002.2025.10941536.
HSBI-PUB | DOI
 
[26]
2025 | Artikel | FH-PUB-ID: 5366
Sanaullah, Sanaullah, et al. “RAVSim v2.0: Enhanced Visualization and Comparative Analysis for Neural Network Models.” SoftwareX, vol. 29, 102006, Elsevier BV, 2025, doi:10.1016/j.softx.2024.102006.
HSBI-PUB | DOI
 
[25]
2024 | Konferenzbeitrag | FH-PUB-ID: 4782
Sanaullah, Sanaullah, et al. “A Spike Vision Approach for Multi-Object Detection and Generating Dataset Using Multi-Core Architecture on Edge Device.” Engineering Applications of Neural Networks. 25th International Conference, EANN 2024, Corfu, Greece, June 27–30, 2024, Proceedings, edited by Lazaros Iliadis et al., Springer Nature Switzerland, 2024, pp. 317–28, doi:10.1007/978-3-031-62495-7_24.
HSBI-PUB | DOI
 
[24]
2024 | Konferenzbeitrag | FH-PUB-ID: 5367 | OA
Koravuna, Shamini, et al. “Spiking Neural Network Models Analysis on Field Programmable Gate Arrays.” International Conference on Intelligent and Innovative Computing Applications, edited by Sameerchand Pudaruth and Kingsley Ogudo, vol. 2024, Society of Information Technologists and Engineers Ltd, 2024, pp. 259–70, doi:10.59200/ICONIC.2024.027.
HSBI-PUB | DOI | Download (ext.)
 
[23]
2024 | Konferenzbeitrag | FH-PUB-ID: 5315
Attaullah, Hasina, et al. “FL-DL: Fuzzy Logic with Deep Learning, Hybrid Anomaly Detection and Activity Prediction in Smart Homes Data-Sets.” 2024 IEEE 24th International Symposium on Computational Intelligence and Informatics (CINTI), IEEE, 2024, pp. 43–48, doi:10.1109/CINTI63048.2024.10830825.
HSBI-PUB | DOI
 
[22]
2024 | Konferenzbeitrag | FH-PUB-ID: 5098
Sanaullah, Sanaullah, et al. “Encryption Techniques for Privacy-Preserving CNN Models: Performance and Practicality in Urban AI Applications.” Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI, edited by Olufemi A. Omitaomu et al., ACM, 2024, pp. 50–53, doi:10.1145/3681780.3697244.
HSBI-PUB | DOI
 
[21]
2024 | Konferenzbeitrag | FH-PUB-ID: 5097
Sanaullah, Sanaullah, et al. “Advancements in Neural Network Generations.” Proceedings of the SAIOnARA Conference, edited by Ulrike Kuhl and DataNinja.nrw, DataNinja sAIOnARA Conference, 2024, doi:10.11576/DATANINJA-1167.
HSBI-PUB | DOI
 
[20]
2024 | Konferenzbeitrag | FH-PUB-ID: 5096
Sanaullah, Sanaullah, et al. “Trade-Offs Between Privacy and Performance in Encrypted Dataset Using Machine Learning Models.” Proceedings of the SAIOnARA Conference, edited by Ulrike Kuhl and DataNinja.nrw, DataNinja sAIOnARA Conference, 2024, doi:10.11576/DATANINJA-1166.
HSBI-PUB | DOI
 
[19]
2024 | Artikel | FH-PUB-ID: 4997 | OA
Attaullah, Hasina, et al. “Analyzing Machine Learning Models for Activity Recognition Using Homomorphically Encrypted Real-World Smart Home Datasets: A Case Study.” Applied Sciences, vol. 14, no. 19, 9047, MDPI AG, 2024, doi:10.3390/app14199047.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[18]
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4883
Sanaullah, Sanaullah, et al. “Selection of Optimal Neural Model Using Spiking Neural Network for Edge Computing  .” 2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS), edited by IEEE, IEEE, 2024, pp. 1452–53, doi:10.1109/ICDCS60910.2024.00147.
HSBI-PUB | DOI | Inspire
 
[17]
2024 | Konferenzbeitrag | FH-PUB-ID: 4811
Sanaullah, Sanaullah, et al. “The Next-Gen Interactive Runtime Simulator for Neural Network Programming.” Companion Proceedings of the 8th International Conference on the Art, Science, and Engineering of Programming, edited by Emma Söderberg and Luke Church, ACM, 2024, pp. 8–10, doi:10.1145/3660829.3660833.
HSBI-PUB | DOI
 
[16]
2024 | Konferenzbeitrag | FH-PUB-ID: 4783 | OA
Sanaullah, Sanaullah, et al. “A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models.” Proceedings of the 5th Northern Lights Deep Learning Conference, edited by Tetiana Lutchyn et al., vol. 233, Proceedings of Machine Learning Research (PMLR), 2024, doi:10.48550/arXiv.2407.08861.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.) | WoS | arXiv
 
[15]
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.
HSBI-PUB | DOI
 
[14]
2023 | Artikel | FH-PUB-ID: 3482 | OA
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.
HSBI-PUB | DOI | Download (ext.)
 
[13]
2023 | Artikel | FH-PUB-ID: 3572 | OA
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.
HSBI-PUB | DOI | Download (ext.)
 
[12]
2023 | Artikel | FH-PUB-ID: 3665 | OA
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.
HSBI-PUB | DOI | Download (ext.)
 
[11]
2023 | Konferenzbeitrag | FH-PUB-ID: 3644 | OA
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.
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. 2023, doi:10.5281/zenodo.10457930.
HSBI-PUB | DOI | Download (ext.)
 
[9]
2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 4206 | OA
Sanaullah, Sanaullah, et al. A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting. 2023, doi:10.5281/zenodo.10458019.
HSBI-PUB | DOI | Download (ext.)
 
[8]
2023 | Konferenzbeitrag | FH-PUB-ID: 4205 | OA
Sanaullah, Sanaullah, et al. A Novel Spike Vision Approach for Robust Multi-Object Detection Using SNNs. 2023, doi:10.5281/zenodo.10262228.
HSBI-PUB | DOI | Download (ext.)
 
[7]
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.
HSBI-PUB | DOI
 
[6]
2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 2919 | OA
Sanaullah, Sanaullah, et al. Evaluating Spiking Neural Network Models: A Comparative Performance Analysis. doi:10.13140/RG.2.2.36122.82886.
HSBI-PUB | DOI | Download (ext.)
 
[5]
2022 | Konferenzbeitrag | FH-PUB-ID: 2757
Sanaullah, Sanaullah, et al. NireHApS: Neuro-Inspired and Resource-Efficient Hardware-Architectures for Plastic SNNs. 2022, doi:10.13140/RG.2.2.16202.85444.
HSBI-PUB | DOI
 
[4]
2022 | Kurzbeitrag Konferenz | FH-PUB-ID: 2753
Sanaullah, Sanaullah, et al. Real-Time Resource Efficient Simulator for SNNs-Based Model Experimentation. 2022, doi:10.13140/RG.2.2.24761.85607.
HSBI-PUB | DOI
 
[3]
2022 | Konferenzbeitrag | FH-PUB-ID: 3480 | OA
Sanaullah, Sanaullah, et al. Real-Time SNNs Model Analyzing and Visualizing Experimentation. Unpublished, 2022, doi:10.13140/RG.2.2.14584.83201/1.
HSBI-PUB | DOI | Download (ext.)
 
[2]
2022 | Konferenzbeitrag | FH-PUB-ID: 2276
Sanaullah, Sanaullah, et al. “SNNs Model Analyzing and Visualizing Experimentation Using RAVSim.” Engineering Applications of Neural Networks. 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings, edited by Lazaros Iliadis et al., Springer International Publishing, 2022, pp. 40–51, doi:10.1007/978-3-031-08223-8_4.
HSBI-PUB | DOI
 
[1]
2019 | Konferenzbeitrag | FH-PUB-ID: 2975 | OA
Sanaullah, Sanaullah, et al. Accelerating the Threshold and Timing Analysis of Genetic Logic Circuit Models. doi: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: 6139
Attaullah, Hasina, et al. “DNA: Detecting Early Signs of Neurodegenerative Diseases through Activity and Sleep Analysis.” Frontiers in Neuroscience, vol. 19, Frontiers Media SA, 2025, doi:10.3389/fnins.2025.1617758.
HSBI-PUB | DOI
 
[28]
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, doi:10.4119/UNIBI/3003814.
HSBI-PUB | DOI
 
[27]
2025 | Konferenzbeitrag | FH-PUB-ID: 5976
Sanaullah, Sanaullah, et al. “Automating Neural Model Selection in Spiking Neural Networks Using AutoML Techniques*.” 2025 22nd International Learning and Technology Conference (L&T), IEEE, 2025, pp. 274–79, doi:10.1109/LT64002.2025.10941536.
HSBI-PUB | DOI
 
[26]
2025 | Artikel | FH-PUB-ID: 5366
Sanaullah, Sanaullah, et al. “RAVSim v2.0: Enhanced Visualization and Comparative Analysis for Neural Network Models.” SoftwareX, vol. 29, 102006, Elsevier BV, 2025, doi:10.1016/j.softx.2024.102006.
HSBI-PUB | DOI
 
[25]
2024 | Konferenzbeitrag | FH-PUB-ID: 4782
Sanaullah, Sanaullah, et al. “A Spike Vision Approach for Multi-Object Detection and Generating Dataset Using Multi-Core Architecture on Edge Device.” Engineering Applications of Neural Networks. 25th International Conference, EANN 2024, Corfu, Greece, June 27–30, 2024, Proceedings, edited by Lazaros Iliadis et al., Springer Nature Switzerland, 2024, pp. 317–28, doi:10.1007/978-3-031-62495-7_24.
HSBI-PUB | DOI
 
[24]
2024 | Konferenzbeitrag | FH-PUB-ID: 5367 | OA
Koravuna, Shamini, et al. “Spiking Neural Network Models Analysis on Field Programmable Gate Arrays.” International Conference on Intelligent and Innovative Computing Applications, edited by Sameerchand Pudaruth and Kingsley Ogudo, vol. 2024, Society of Information Technologists and Engineers Ltd, 2024, pp. 259–70, doi:10.59200/ICONIC.2024.027.
HSBI-PUB | DOI | Download (ext.)
 
[23]
2024 | Konferenzbeitrag | FH-PUB-ID: 5315
Attaullah, Hasina, et al. “FL-DL: Fuzzy Logic with Deep Learning, Hybrid Anomaly Detection and Activity Prediction in Smart Homes Data-Sets.” 2024 IEEE 24th International Symposium on Computational Intelligence and Informatics (CINTI), IEEE, 2024, pp. 43–48, doi:10.1109/CINTI63048.2024.10830825.
HSBI-PUB | DOI
 
[22]
2024 | Konferenzbeitrag | FH-PUB-ID: 5098
Sanaullah, Sanaullah, et al. “Encryption Techniques for Privacy-Preserving CNN Models: Performance and Practicality in Urban AI Applications.” Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI, edited by Olufemi A. Omitaomu et al., ACM, 2024, pp. 50–53, doi:10.1145/3681780.3697244.
HSBI-PUB | DOI
 
[21]
2024 | Konferenzbeitrag | FH-PUB-ID: 5097
Sanaullah, Sanaullah, et al. “Advancements in Neural Network Generations.” Proceedings of the SAIOnARA Conference, edited by Ulrike Kuhl and DataNinja.nrw, DataNinja sAIOnARA Conference, 2024, doi:10.11576/DATANINJA-1167.
HSBI-PUB | DOI
 
[20]
2024 | Konferenzbeitrag | FH-PUB-ID: 5096
Sanaullah, Sanaullah, et al. “Trade-Offs Between Privacy and Performance in Encrypted Dataset Using Machine Learning Models.” Proceedings of the SAIOnARA Conference, edited by Ulrike Kuhl and DataNinja.nrw, DataNinja sAIOnARA Conference, 2024, doi:10.11576/DATANINJA-1166.
HSBI-PUB | DOI
 
[19]
2024 | Artikel | FH-PUB-ID: 4997 | OA
Attaullah, Hasina, et al. “Analyzing Machine Learning Models for Activity Recognition Using Homomorphically Encrypted Real-World Smart Home Datasets: A Case Study.” Applied Sciences, vol. 14, no. 19, 9047, MDPI AG, 2024, doi:10.3390/app14199047.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[18]
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4883
Sanaullah, Sanaullah, et al. “Selection of Optimal Neural Model Using Spiking Neural Network for Edge Computing  .” 2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS), edited by IEEE, IEEE, 2024, pp. 1452–53, doi:10.1109/ICDCS60910.2024.00147.
HSBI-PUB | DOI | Inspire
 
[17]
2024 | Konferenzbeitrag | FH-PUB-ID: 4811
Sanaullah, Sanaullah, et al. “The Next-Gen Interactive Runtime Simulator for Neural Network Programming.” Companion Proceedings of the 8th International Conference on the Art, Science, and Engineering of Programming, edited by Emma Söderberg and Luke Church, ACM, 2024, pp. 8–10, doi:10.1145/3660829.3660833.
HSBI-PUB | DOI
 
[16]
2024 | Konferenzbeitrag | FH-PUB-ID: 4783 | OA
Sanaullah, Sanaullah, et al. “A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models.” Proceedings of the 5th Northern Lights Deep Learning Conference, edited by Tetiana Lutchyn et al., vol. 233, Proceedings of Machine Learning Research (PMLR), 2024, doi:10.48550/arXiv.2407.08861.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.) | WoS | arXiv
 
[15]
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.
HSBI-PUB | DOI
 
[14]
2023 | Artikel | FH-PUB-ID: 3482 | OA
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.
HSBI-PUB | DOI | Download (ext.)
 
[13]
2023 | Artikel | FH-PUB-ID: 3572 | OA
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.
HSBI-PUB | DOI | Download (ext.)
 
[12]
2023 | Artikel | FH-PUB-ID: 3665 | OA
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.
HSBI-PUB | DOI | Download (ext.)
 
[11]
2023 | Konferenzbeitrag | FH-PUB-ID: 3644 | OA
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.
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. 2023, doi:10.5281/zenodo.10457930.
HSBI-PUB | DOI | Download (ext.)
 
[9]
2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 4206 | OA
Sanaullah, Sanaullah, et al. A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting. 2023, doi:10.5281/zenodo.10458019.
HSBI-PUB | DOI | Download (ext.)
 
[8]
2023 | Konferenzbeitrag | FH-PUB-ID: 4205 | OA
Sanaullah, Sanaullah, et al. A Novel Spike Vision Approach for Robust Multi-Object Detection Using SNNs. 2023, doi:10.5281/zenodo.10262228.
HSBI-PUB | DOI | Download (ext.)
 
[7]
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.
HSBI-PUB | DOI
 
[6]
2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 2919 | OA
Sanaullah, Sanaullah, et al. Evaluating Spiking Neural Network Models: A Comparative Performance Analysis. doi:10.13140/RG.2.2.36122.82886.
HSBI-PUB | DOI | Download (ext.)
 
[5]
2022 | Konferenzbeitrag | FH-PUB-ID: 2757
Sanaullah, Sanaullah, et al. NireHApS: Neuro-Inspired and Resource-Efficient Hardware-Architectures for Plastic SNNs. 2022, doi:10.13140/RG.2.2.16202.85444.
HSBI-PUB | DOI
 
[4]
2022 | Kurzbeitrag Konferenz | FH-PUB-ID: 2753
Sanaullah, Sanaullah, et al. Real-Time Resource Efficient Simulator for SNNs-Based Model Experimentation. 2022, doi:10.13140/RG.2.2.24761.85607.
HSBI-PUB | DOI
 
[3]
2022 | Konferenzbeitrag | FH-PUB-ID: 3480 | OA
Sanaullah, Sanaullah, et al. Real-Time SNNs Model Analyzing and Visualizing Experimentation. Unpublished, 2022, doi:10.13140/RG.2.2.14584.83201/1.
HSBI-PUB | DOI | Download (ext.)
 
[2]
2022 | Konferenzbeitrag | FH-PUB-ID: 2276
Sanaullah, Sanaullah, et al. “SNNs Model Analyzing and Visualizing Experimentation Using RAVSim.” Engineering Applications of Neural Networks. 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings, edited by Lazaros Iliadis et al., Springer International Publishing, 2022, pp. 40–51, doi:10.1007/978-3-031-08223-8_4.
HSBI-PUB | DOI
 
[1]
2019 | Konferenzbeitrag | FH-PUB-ID: 2975 | OA
Sanaullah, Sanaullah, et al. Accelerating the Threshold and Timing Analysis of Genetic Logic Circuit Models. doi:10.13140/RG.2.2.27989.50402.
HSBI-PUB | DOI | Download (ext.)
 
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Zitationsstil: MLA

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