PUBLIKATIONSSERVER

Sanaullah Sanaullah

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

29 Publikationen

Alle markieren

[29]
2025 | Artikel | FH-PUB-ID: 6139
Attaullah, Hasina ; Sanaullah, Sanaullah ; Peters, Annika ; Ahmed, Qazi Arbab ; Baudisch, Justin ; Jungeblut, Thorsten: DNA: detecting early signs of neurodegenerative diseases through activity and sleep analysis. In: Frontiers in Neuroscience Bd. 19, Frontiers Media SA (2025)
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
HSBI-PUB | DOI
 
[27]
2025 | Konferenzbeitrag | FH-PUB-ID: 5976
Sanaullah, Sanaullah ; Honda, Hirotada ; Roy, Kaushik ; Schneider, Axel ; Waßmuth, Joachim ; Jungeblut, Thorsten: Automating Neural Model Selection in Spiking Neural Networks Using AutoML Techniques*. In: 2025 22nd International Learning and Technology Conference (L&T) : IEEE, 2025, S. 274–279
HSBI-PUB | DOI
 
[26]
2025 | Artikel | FH-PUB-ID: 5366
Sanaullah, Sanaullah ; Schneider, Axel ; Waßmuth, Joachim ; Rückert, Ulrich ; Jungeblut, Thorsten: RAVSim v2.0: Enhanced visualization and comparative analysis for neural network models. In: SoftwareX Bd. 29, Elsevier BV (2025)
HSBI-PUB | DOI
 
[25]
2024 | Konferenzbeitrag | FH-PUB-ID: 4782
Sanaullah, Sanaullah ; Koravuna, Shamini ; Rückert, Ulrich ; Jungeblut, Thorsten: A Spike Vision Approach for Multi-object Detection and Generating Dataset Using Multi-core Architecture on Edge Device. In: Iliadis, L. ; Maglogiannis, I. ; Papaleonidas, A. ; Pimenidis, E. ; Jayne, C. (Hrsg.): Engineering Applications of Neural Networks. 25th International Conference, EANN 2024, Corfu, Greece, June 27–30, 2024, Proceedings, Communications in Computer and Information Science. Cham : Springer Nature Switzerland, 2024, S. 317–328
HSBI-PUB | DOI
 
[24]
2024 | Konferenzbeitrag | FH-PUB-ID: 5367 | OA
Koravuna, Shamini ; Sanaullah, Sanaullah ; Jungeblut, Thorsten ; Rückert, Ulrich: Spiking Neural Network Models Analysis on Field Programmable Gate Arrays. In: Pudaruth, S. ; Ogudo, K. (Hrsg.): International Conference on Intelligent and Innovative Computing Applications. Bd. 2024 : Society of Information Technologists and Engineers Ltd, 2024, S. 259–270
HSBI-PUB | DOI | Download (ext.)
 
[23]
2024 | Konferenzbeitrag | FH-PUB-ID: 5315
Attaullah, Hasina ; Sanaullah, Sanaullah ; Jungeblut, Thorsten: 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). Budapest, Hungary : IEEE, 2024, S. 43–48
HSBI-PUB | DOI
 
[22]
2024 | Konferenzbeitrag | FH-PUB-ID: 5098
Sanaullah, Sanaullah ; Attaullah, Hasina ; Jungeblut, Thorsten: Encryption Techniques for Privacy-Preserving CNN Models: Performance and Practicality in Urban AI Applications. In: Omitaomu, O. A. ; Mostafavi, A. ; Randhawa, S. ; Niu, H. (Hrsg.): Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI. New York, NY, USA : ACM, 2024, S. 50–53
HSBI-PUB | DOI
 
[21]
2024 | Konferenzbeitrag | FH-PUB-ID: 5097
Sanaullah, Sanaullah ; Koravuna, Shamini ; Rückert, Ulrich ; Jungeblut, Thorsten: Advancements in Neural Network Generations. In: Kuhl, U. ; DataNinja.nrw (Hrsg.): Proceedings of the sAIOnARA Conference : DataNinja sAIOnARA Conference, 2024
HSBI-PUB | DOI
 
[20]
2024 | Konferenzbeitrag | FH-PUB-ID: 5096
Sanaullah, Sanaullah ; Attaullah, Hasina ; Jungeblut, Thorsten: Trade-offs Between Privacy and Performance in Encrypted Dataset using Machine Learning Models. In: Kuhl, U. ; DataNinja.nrw (Hrsg.): Proceedings of the sAIOnARA Conference : DataNinja sAIOnARA Conference, 2024
HSBI-PUB | DOI
 
[19]
2024 | Artikel | FH-PUB-ID: 4997 | OA
Attaullah, Hasina ; Sanaullah, Sanaullah ; Jungeblut, Thorsten: Analyzing Machine Learning Models for Activity Recognition Using Homomorphically Encrypted Real-World Smart Home Datasets: A Case Study. In: Applied Sciences Bd. 14, MDPI AG (2024), Nr. 19
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[18]
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4883
Sanaullah, Sanaullah ; Roy, Kaushik ; Ruckert, Ulrich ; Jungeblut, Thorsten: Selection of Optimal Neural Model using Spiking Neural Network for Edge Computing  . In: IEEE (Hrsg.): 2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS) : IEEE, 2024, S. 1452–1453
HSBI-PUB | DOI | Inspire
 
[17]
2024 | Konferenzbeitrag | FH-PUB-ID: 4811
Sanaullah, Sanaullah ; Attaullah, Hasina ; Jungeblut, Thorsten: The Next-Gen Interactive Runtime Simulator for Neural Network Programming. In: Söderberg, E. ; Church, L. (Hrsg.): Companion Proceedings of the 8th International Conference on the Art, Science, and Engineering of Programming. New York, NY, USA : ACM, 2024, S. 8–10
HSBI-PUB | DOI
 
[16]
2024 | Konferenzbeitrag | FH-PUB-ID: 4783 | OA
Sanaullah, Sanaullah ; Roy, Kaushik ; Rückert, Ulrich ; Jungeblut, Thorsten: A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models. In: Lutchyn, T. ; Ramírez Rivera, A. ; Ricaud, B. (Hrsg.): Proceedings of the 5th Northern Lights Deep Learning Conference. Bd. 233. UiT The Arctic University, Tromsø, Norway : Proceedings of Machine Learning Research (PMLR), 2024
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.) | WoS | arXiv
 
[15]
2023 | Buchbeitrag | FH-PUB-ID: 3222
Sanaullah, Sanaullah ; Koravuna, Shamini ; Rückert, Ulrich ; Jungeblut, Thorsten: Streamlined Training of GCN for Node Classification with Automatic Loss Function and Optimizer Selection. In: Iliadis, L. ; Maglogiannis, I. ; Alonso, S. ; Jayne, C. ; Pimenidis, E. (Hrsg.): Engineering Applications of Neural Networks. 24th International Conference, EAAAI/EANN 2023, León, Spain, June 14–17, 2023, Proceedings, Communications in Computer and Information Science. Cham : Springer Nature Switzerland, 2023, S. 191–202
HSBI-PUB | DOI
 
[14]
2023 | Artikel | FH-PUB-ID: 3482 | OA
Sanaullah, Sanaullah ; Koravuna, Shamini ; Rückert, Ulrich ; Jungeblut, Thorsten: Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim. In: International Journal of Neural Systems, World Scientific Pub Co Pte Ltd (2023)
HSBI-PUB | DOI | Download (ext.)
 
[13]
2023 | Artikel | FH-PUB-ID: 3572 | OA
Sanaullah, Sanaullah ; Koravuna, Shamini ; Rückert, Ulrich ; Jungeblut, Thorsten: Exploring spiking neural networks: a comprehensive analysis of mathematical models and applications. In: Frontiers in Computational Neuroscience Bd. 17, Frontiers Media SA (2023)
HSBI-PUB | DOI | Download (ext.)
 
[12]
2023 | Artikel | FH-PUB-ID: 3665 | OA
Sanaullah, Sanaullah ; Koravuna, Shamini ; Ruckert, Ulrich ; Jungeblut, Thorsten: Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures. In: Preprint (2023)
HSBI-PUB | DOI | Download (ext.)
 
[11]
2023 | Konferenzbeitrag | FH-PUB-ID: 3644 | OA
Sanaullah, Sanaullah ; Koravuna, Shamini ; Rückert, Ulrich ; Jungeblut, Thorsten: Transforming Event-Based into Spike-Rate Datasets for Enhancing Neuronal Behavior Simulation to Bridging the Gap for SNNs. In: . Paris France , 2023
HSBI-PUB | DOI | Download (ext.)
 
[10]
2023 | Konferenzbeitrag | FH-PUB-ID: 4207 | OA
Sanaullah, Sanaullah ; Jungeblut, Thorsten: Analysis of MR Images for Early and Accurate Detection of Brain Tumor using Resource Efficient Simulator Brain Analysis. In: . New York USA, 2023
HSBI-PUB | DOI | Download (ext.)
 
[9]
2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 4206 | OA
Sanaullah, Sanaullah ; Amanullah, Amanullah ; Roy, Kaushik ; Lee, Jeong-A ; Chul-Jun, Son ; Jungeblut, Thorsten: A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting. In: , 2023
HSBI-PUB | DOI | Download (ext.)
 
[8]
2023 | Konferenzbeitrag | FH-PUB-ID: 4205 | OA
Sanaullah, Sanaullah ; Koravuna, Shamini ; Rückert, Ulrich ; Jungeblut, Thorsten: A Novel Spike Vision Approach for Robust Multi-Object Detection using SNNs. In: , 2023
HSBI-PUB | DOI | Download (ext.)
 
[7]
2023 | Konferenzbeitrag | FH-PUB-ID: 4208
Koravuna, Shamini ; Sanaullah, Sanaullah ; Jungeblut, Thorsten ; Rückert, Ulrich: Digit Recognition Using Spiking Neural Networks on FPGA. In: Rojas, I. ; Joya, G. ; Catala, A. (Hrsg.): Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I, Lecture Notes in Computer Science. Cham : Springer Nature Switzerland, 2023, S. 406–417
HSBI-PUB | DOI
 
[6]
2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 2919 | OA
Sanaullah, Sanaullah ; Koravuna, Shamini ; Rückert, Ulrich ; Jungeblut, Thorsten: Evaluating Spiking Neural Network Models: A Comparative Performance Analysis. In:
HSBI-PUB | DOI | Download (ext.)
 
[5]
2022 | Konferenzbeitrag | FH-PUB-ID: 2757
Sanaullah, Sanaullah ; Koravuna, Shamini ; Jungeblut, Thorsten ; Rückert, Ulrich: NireHApS: Neuro-Inspired and Resource-Efficient Hardware-Architectures for Plastic SNNs. In: , 2022
HSBI-PUB | DOI
 
[4]
2022 | Kurzbeitrag Konferenz | FH-PUB-ID: 2753
Sanaullah, Sanaullah ; Koravuna, Shamini ; Rückert, Ulrich ; Jungeblut, Thorsten: Real-Time Resource Efficient Simulator for SNNs-based Model Experimentation. In: , Dataninja Spring School 2022. Bielefeld University, Germany (2022)
HSBI-PUB | DOI
 
[3]
2022 | Konferenzbeitrag | FH-PUB-ID: 3480 | OA
Sanaullah, Sanaullah ; Koravuna, Shamini ; Ruckert, Ulrich ; Jungeblut, Thorsten: Real-Time SNNs Model Analyzing and Visualizing Experimentation. In:  : Unpublished, 2022
HSBI-PUB | DOI | Download (ext.)
 
[2]
2022 | Konferenzbeitrag | FH-PUB-ID: 2276
Sanaullah, Sanaullah ; Koravuna, Shamini ; Rückert, Ulrich ; Jungeblut, Thorsten: SNNs Model Analyzing and Visualizing Experimentation Using RAVSim. In: Iliadis, L. ; Jayne, C. ; Tefas, A. ; Pimenidis, E. (Hrsg.): Engineering Applications of Neural Networks. 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings, Communications in Computer and Information Science. Cham : Springer International Publishing, 2022, S. 40–51
HSBI-PUB | DOI
 
[1]
2019 | Konferenzbeitrag | FH-PUB-ID: 2975 | OA
Sanaullah, Sanaullah ; Baig, Hasan ; Lee, Jeong A: Accelerating the Threshold and Timing Analysis of Genetic Logic Circuit Models. In:
HSBI-PUB | DOI | Download (ext.)
 
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Zitationsstil: DIN 1505

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29 Publikationen

Alle markieren

[29]
2025 | Artikel | FH-PUB-ID: 6139
Attaullah, Hasina ; Sanaullah, Sanaullah ; Peters, Annika ; Ahmed, Qazi Arbab ; Baudisch, Justin ; Jungeblut, Thorsten: DNA: detecting early signs of neurodegenerative diseases through activity and sleep analysis. In: Frontiers in Neuroscience Bd. 19, Frontiers Media SA (2025)
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
HSBI-PUB | DOI
 
[27]
2025 | Konferenzbeitrag | FH-PUB-ID: 5976
Sanaullah, Sanaullah ; Honda, Hirotada ; Roy, Kaushik ; Schneider, Axel ; Waßmuth, Joachim ; Jungeblut, Thorsten: Automating Neural Model Selection in Spiking Neural Networks Using AutoML Techniques*. In: 2025 22nd International Learning and Technology Conference (L&T) : IEEE, 2025, S. 274–279
HSBI-PUB | DOI
 
[26]
2025 | Artikel | FH-PUB-ID: 5366
Sanaullah, Sanaullah ; Schneider, Axel ; Waßmuth, Joachim ; Rückert, Ulrich ; Jungeblut, Thorsten: RAVSim v2.0: Enhanced visualization and comparative analysis for neural network models. In: SoftwareX Bd. 29, Elsevier BV (2025)
HSBI-PUB | DOI
 
[25]
2024 | Konferenzbeitrag | FH-PUB-ID: 4782
Sanaullah, Sanaullah ; Koravuna, Shamini ; Rückert, Ulrich ; Jungeblut, Thorsten: A Spike Vision Approach for Multi-object Detection and Generating Dataset Using Multi-core Architecture on Edge Device. In: Iliadis, L. ; Maglogiannis, I. ; Papaleonidas, A. ; Pimenidis, E. ; Jayne, C. (Hrsg.): Engineering Applications of Neural Networks. 25th International Conference, EANN 2024, Corfu, Greece, June 27–30, 2024, Proceedings, Communications in Computer and Information Science. Cham : Springer Nature Switzerland, 2024, S. 317–328
HSBI-PUB | DOI
 
[24]
2024 | Konferenzbeitrag | FH-PUB-ID: 5367 | OA
Koravuna, Shamini ; Sanaullah, Sanaullah ; Jungeblut, Thorsten ; Rückert, Ulrich: Spiking Neural Network Models Analysis on Field Programmable Gate Arrays. In: Pudaruth, S. ; Ogudo, K. (Hrsg.): International Conference on Intelligent and Innovative Computing Applications. Bd. 2024 : Society of Information Technologists and Engineers Ltd, 2024, S. 259–270
HSBI-PUB | DOI | Download (ext.)
 
[23]
2024 | Konferenzbeitrag | FH-PUB-ID: 5315
Attaullah, Hasina ; Sanaullah, Sanaullah ; Jungeblut, Thorsten: 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). Budapest, Hungary : IEEE, 2024, S. 43–48
HSBI-PUB | DOI
 
[22]
2024 | Konferenzbeitrag | FH-PUB-ID: 5098
Sanaullah, Sanaullah ; Attaullah, Hasina ; Jungeblut, Thorsten: Encryption Techniques for Privacy-Preserving CNN Models: Performance and Practicality in Urban AI Applications. In: Omitaomu, O. A. ; Mostafavi, A. ; Randhawa, S. ; Niu, H. (Hrsg.): Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI. New York, NY, USA : ACM, 2024, S. 50–53
HSBI-PUB | DOI
 
[21]
2024 | Konferenzbeitrag | FH-PUB-ID: 5097
Sanaullah, Sanaullah ; Koravuna, Shamini ; Rückert, Ulrich ; Jungeblut, Thorsten: Advancements in Neural Network Generations. In: Kuhl, U. ; DataNinja.nrw (Hrsg.): Proceedings of the sAIOnARA Conference : DataNinja sAIOnARA Conference, 2024
HSBI-PUB | DOI
 
[20]
2024 | Konferenzbeitrag | FH-PUB-ID: 5096
Sanaullah, Sanaullah ; Attaullah, Hasina ; Jungeblut, Thorsten: Trade-offs Between Privacy and Performance in Encrypted Dataset using Machine Learning Models. In: Kuhl, U. ; DataNinja.nrw (Hrsg.): Proceedings of the sAIOnARA Conference : DataNinja sAIOnARA Conference, 2024
HSBI-PUB | DOI
 
[19]
2024 | Artikel | FH-PUB-ID: 4997 | OA
Attaullah, Hasina ; Sanaullah, Sanaullah ; Jungeblut, Thorsten: Analyzing Machine Learning Models for Activity Recognition Using Homomorphically Encrypted Real-World Smart Home Datasets: A Case Study. In: Applied Sciences Bd. 14, MDPI AG (2024), Nr. 19
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[18]
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4883
Sanaullah, Sanaullah ; Roy, Kaushik ; Ruckert, Ulrich ; Jungeblut, Thorsten: Selection of Optimal Neural Model using Spiking Neural Network for Edge Computing  . In: IEEE (Hrsg.): 2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS) : IEEE, 2024, S. 1452–1453
HSBI-PUB | DOI | Inspire
 
[17]
2024 | Konferenzbeitrag | FH-PUB-ID: 4811
Sanaullah, Sanaullah ; Attaullah, Hasina ; Jungeblut, Thorsten: The Next-Gen Interactive Runtime Simulator for Neural Network Programming. In: Söderberg, E. ; Church, L. (Hrsg.): Companion Proceedings of the 8th International Conference on the Art, Science, and Engineering of Programming. New York, NY, USA : ACM, 2024, S. 8–10
HSBI-PUB | DOI
 
[16]
2024 | Konferenzbeitrag | FH-PUB-ID: 4783 | OA
Sanaullah, Sanaullah ; Roy, Kaushik ; Rückert, Ulrich ; Jungeblut, Thorsten: A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models. In: Lutchyn, T. ; Ramírez Rivera, A. ; Ricaud, B. (Hrsg.): Proceedings of the 5th Northern Lights Deep Learning Conference. Bd. 233. UiT The Arctic University, Tromsø, Norway : Proceedings of Machine Learning Research (PMLR), 2024
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.) | WoS | arXiv
 
[15]
2023 | Buchbeitrag | FH-PUB-ID: 3222
Sanaullah, Sanaullah ; Koravuna, Shamini ; Rückert, Ulrich ; Jungeblut, Thorsten: Streamlined Training of GCN for Node Classification with Automatic Loss Function and Optimizer Selection. In: Iliadis, L. ; Maglogiannis, I. ; Alonso, S. ; Jayne, C. ; Pimenidis, E. (Hrsg.): Engineering Applications of Neural Networks. 24th International Conference, EAAAI/EANN 2023, León, Spain, June 14–17, 2023, Proceedings, Communications in Computer and Information Science. Cham : Springer Nature Switzerland, 2023, S. 191–202
HSBI-PUB | DOI
 
[14]
2023 | Artikel | FH-PUB-ID: 3482 | OA
Sanaullah, Sanaullah ; Koravuna, Shamini ; Rückert, Ulrich ; Jungeblut, Thorsten: Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim. In: International Journal of Neural Systems, World Scientific Pub Co Pte Ltd (2023)
HSBI-PUB | DOI | Download (ext.)
 
[13]
2023 | Artikel | FH-PUB-ID: 3572 | OA
Sanaullah, Sanaullah ; Koravuna, Shamini ; Rückert, Ulrich ; Jungeblut, Thorsten: Exploring spiking neural networks: a comprehensive analysis of mathematical models and applications. In: Frontiers in Computational Neuroscience Bd. 17, Frontiers Media SA (2023)
HSBI-PUB | DOI | Download (ext.)
 
[12]
2023 | Artikel | FH-PUB-ID: 3665 | OA
Sanaullah, Sanaullah ; Koravuna, Shamini ; Ruckert, Ulrich ; Jungeblut, Thorsten: Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures. In: Preprint (2023)
HSBI-PUB | DOI | Download (ext.)
 
[11]
2023 | Konferenzbeitrag | FH-PUB-ID: 3644 | OA
Sanaullah, Sanaullah ; Koravuna, Shamini ; Rückert, Ulrich ; Jungeblut, Thorsten: Transforming Event-Based into Spike-Rate Datasets for Enhancing Neuronal Behavior Simulation to Bridging the Gap for SNNs. In: . Paris France , 2023
HSBI-PUB | DOI | Download (ext.)
 
[10]
2023 | Konferenzbeitrag | FH-PUB-ID: 4207 | OA
Sanaullah, Sanaullah ; Jungeblut, Thorsten: Analysis of MR Images for Early and Accurate Detection of Brain Tumor using Resource Efficient Simulator Brain Analysis. In: . New York USA, 2023
HSBI-PUB | DOI | Download (ext.)
 
[9]
2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 4206 | OA
Sanaullah, Sanaullah ; Amanullah, Amanullah ; Roy, Kaushik ; Lee, Jeong-A ; Chul-Jun, Son ; Jungeblut, Thorsten: A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting. In: , 2023
HSBI-PUB | DOI | Download (ext.)
 
[8]
2023 | Konferenzbeitrag | FH-PUB-ID: 4205 | OA
Sanaullah, Sanaullah ; Koravuna, Shamini ; Rückert, Ulrich ; Jungeblut, Thorsten: A Novel Spike Vision Approach for Robust Multi-Object Detection using SNNs. In: , 2023
HSBI-PUB | DOI | Download (ext.)
 
[7]
2023 | Konferenzbeitrag | FH-PUB-ID: 4208
Koravuna, Shamini ; Sanaullah, Sanaullah ; Jungeblut, Thorsten ; Rückert, Ulrich: Digit Recognition Using Spiking Neural Networks on FPGA. In: Rojas, I. ; Joya, G. ; Catala, A. (Hrsg.): Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I, Lecture Notes in Computer Science. Cham : Springer Nature Switzerland, 2023, S. 406–417
HSBI-PUB | DOI
 
[6]
2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 2919 | OA
Sanaullah, Sanaullah ; Koravuna, Shamini ; Rückert, Ulrich ; Jungeblut, Thorsten: Evaluating Spiking Neural Network Models: A Comparative Performance Analysis. In:
HSBI-PUB | DOI | Download (ext.)
 
[5]
2022 | Konferenzbeitrag | FH-PUB-ID: 2757
Sanaullah, Sanaullah ; Koravuna, Shamini ; Jungeblut, Thorsten ; Rückert, Ulrich: NireHApS: Neuro-Inspired and Resource-Efficient Hardware-Architectures for Plastic SNNs. In: , 2022
HSBI-PUB | DOI
 
[4]
2022 | Kurzbeitrag Konferenz | FH-PUB-ID: 2753
Sanaullah, Sanaullah ; Koravuna, Shamini ; Rückert, Ulrich ; Jungeblut, Thorsten: Real-Time Resource Efficient Simulator for SNNs-based Model Experimentation. In: , Dataninja Spring School 2022. Bielefeld University, Germany (2022)
HSBI-PUB | DOI
 
[3]
2022 | Konferenzbeitrag | FH-PUB-ID: 3480 | OA
Sanaullah, Sanaullah ; Koravuna, Shamini ; Ruckert, Ulrich ; Jungeblut, Thorsten: Real-Time SNNs Model Analyzing and Visualizing Experimentation. In:  : Unpublished, 2022
HSBI-PUB | DOI | Download (ext.)
 
[2]
2022 | Konferenzbeitrag | FH-PUB-ID: 2276
Sanaullah, Sanaullah ; Koravuna, Shamini ; Rückert, Ulrich ; Jungeblut, Thorsten: SNNs Model Analyzing and Visualizing Experimentation Using RAVSim. In: Iliadis, L. ; Jayne, C. ; Tefas, A. ; Pimenidis, E. (Hrsg.): Engineering Applications of Neural Networks. 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings, Communications in Computer and Information Science. Cham : Springer International Publishing, 2022, S. 40–51
HSBI-PUB | DOI
 
[1]
2019 | Konferenzbeitrag | FH-PUB-ID: 2975 | OA
Sanaullah, Sanaullah ; Baig, Hasan ; Lee, Jeong A: Accelerating the Threshold and Timing Analysis of Genetic Logic Circuit Models. In:
HSBI-PUB | DOI | Download (ext.)
 
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Suche

Publikationen filtern

Darstellung / Sortierung

Zitationsstil: DIN 1505

Export / Einbettung