PUBLIKATIONSSERVER

Thorsten Jungeblut

https://orcid.org/0000-0001-7425-8766

74 Publikationen

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[74]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6365
Köse, Mohammad Ibrahim, Qazi Arbab Ahmed, and Thorsten Jungeblut. “Bridging the Gap Between AI Quantization and Edge Deployment: INT4 and INT8 on the Edge.” In The 5th Muslims in Machine Learning (MusIML) Workshop Co-Located with NeurIPS 2025, edited by NeurIPS 2025 . San Diego, CA, USA., 2025.
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[73]
2025 | Konferenzbeitrag | FH-PUB-ID: 6355
Attaullah, Hasina, Christian Peters, Annika Peters, and Thorsten Jungeblut. “AI Meets Elderly Care: Mining Smart Home Data for Dementia and Depression Detection.” Edited by Schriftenreihe des Institute for Data Science Solutions. KI2025@HSBI Zukunft Im Fokus. Bielefeld, 2025. https://doi.org/10.60802/SIDAS.2025.2.
HSBI-PUB | Dateien verfügbar | DOI
 
[72]
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
 
[71]
2025 | Konferenzbeitrag | FH-PUB-ID: 6073 | OA
Jalil, Farjana, Muhammad Awais, Qazi Arbab Ahmed, Hassan Ghasemzadeh Mohammadi, Thorsten Jungeblut, and Marco Platzner. “Deep&Wide: Achieving Area Efficiency in Scalable Approximate Accelerators.” In 2025 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), edited by Institute of Electrical and Electronics Engineers (IEEE), 115–18. IEEE, 2025. https://doi.org/10.1109/DSN-W65791.2025.00048.
HSBI-PUB | DOI | Download (ext.)
 
[70]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6080
Jalil, Farjana, Julien Leuering, Qazi Arbab Ahmed, Wolfram Schenck, and Thorsten Jungeblut. “NNXC: Neural Network Meets Approximate Computing.” Bielefeld: Institute for Data Science Solutions, 2025.
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[69]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6082
Wermuth, Stella, Qazi Arbab Ahmed, and Thorsten Jungeblut. “From Fisheye to Fusion: Towards Efficient AI-Based Indoor Perception for Public Transportation.” In Workshop on AI and Its Applications. Bielefeld: Institute for Data Science Solutions, 2025.
HSBI-PUB
 
[68]
2025 | Konferenzbeitrag | FH-PUB-ID: 6140
Ahmed, Qazi Arbab, Danish Mehmood Mughal, Daniyal Munir, Hans D. Schotten, Thorsten Jungeblut, Sang-Hyo Kim, and Min Young Chung. “MALRIS: Malicious Hardware in RIS-Assisted Wireless Communications.” arXiv, 2025. https://doi.org/10.48550/ARXIV.2508.06340.
HSBI-PUB | DOI
 
[67]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6083
Köse, Mohammad Ibrahim, Qazi Arbab Ahmed, and Thorsten Jungeblut. “Edge4OD: An Automated Framework for Efficient Execution of Object Detection Algorithms on Edge Devices.” Bielefeld: Institute for Data Science Solutions, 2025. https://doi.org/10.60802/sidas.2025.2.
HSBI-PUB | DOI
 
[66]
2025 | Konferenzbeitrag | FH-PUB-ID: 6204 | OA
Attaullah, Hasina, Marc Halbrügge, Rolf Naumann, and Thorsten Jungeblut. “Digitaler Bahnhof Minden: Künstliche Intelligenz für den Bahnhof der Zukunft,” 4–5, 2025. https://doi.org/10.60802/sidas.2025.2.
HSBI-PUB | DOI | Download (ext.)
 
[65]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6081
Jalil, Farjana, Julien Leuering, Qazi Arbab Ahmed, Wolfram Schenck, and Thorsten Jungeblut. “AutoDSE: Towards HW/AI Co-Design of Ultra-Low Latency Hardware Accelerators for Industrial Applications.” In Workshop on AI and Its Applications. Bielefeld: Institute for Data Science Solutions, 2025. https://doi.org/10.60802/sidas.2025.2.
HSBI-PUB | DOI
 
[64]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6077
Leuering, Julien, Farjana Jalil, Qazi Arbab Ahmed, Wolfram Schenck, and Thorsten Jungeblut. “Cognitive Edge Computing for Multi-Sensor Applications with Sparse Data and High Latency Requirements.” Bielefeld: Institute for Data Science Solutions, n.d.
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[63]
2025 | Konferenzbeitrag | FH-PUB-ID: 6302 | OA
Wermuth, Stella, and Thorsten Jungeblut. “Bridging the Dataset Gap: Domain Adaptation for Fisheye Passenger Detection.” In KI2025@HSBI Zukunft Im Fokus, 28–29. Schriftenreihe Des Institute for Data Science Solutions, 2025. https://doi.org/10.60802/SIDAS.2025.2.
HSBI-PUB | DOI | Download (ext.)
 
[62]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6175
Halbrügge, Marc, and Thorsten Jungeblut. “Beyond Heatmaps: Evaluating LIME Visualizations for Human Understandability.” In KogWis 2025. 16th Biannual Conference of the German Cognitive Science Society., edited by Gesellschaft für Kognitionswissenschaft, 2025.
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[61]
2025 | Artikel | FH-PUB-ID: 6240 | OA
Jagemann, Inga, Justin Baudisch, Thorsten Jungeblut, Günter W. Maier, and Gerrit Hirschfeld. “The More You Know, the Less You Want to Rely on It – Consumer Preferences for AI-Based Health Monitoring in Smart Home Systems.” PsychArchives, 2025. https://doi.org/10.23668/PSYCHARCHIVES.21275.
HSBI-PUB | DOI | Download (ext.)
 
[60]
2025 | Konferenzbeitrag | FH-PUB-ID: 6206 | OA
Kwossek, Jana, Benjamin Eris, Marie Bollien, Kaan Altun, Armin Pascanovic, Marc Halbrügge, Manuel Stegemann, and Thorsten Jungeblut. “AQ-Shuttle: Autonomous Robots for Last Mile Delivery.” In Workshop on Autonomous Delivery and Service Robots on Pedestrian and Cycle Paths, 2025.
HSBI-PUB | Download (ext.)
 
[59]
2025 | Konferenzbeitrag | FH-PUB-ID: 6205
Kwossek, Jana, Benjamin Eris, Marie Bollien, Manuel Stegemann, Kaan Altun, Marc Halbrügge, Thorsten Jungeblut, Sandro Meyer, and Armin Pascanovic. “Autonomous District Shuttles for Last-Mile Delivery: Acceptance, Public Requirements, and Their Role in Urban Development.” In HUMANIST Conference 2025, 2025.
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[58]
2025 | Konferenzbeitrag | FH-PUB-ID: 6202 | OA
Halbrügge, Marc, and Thorsten Jungeblut. “Statistical Learning of Daily Routines in the Smart Home for Privacy-Preserving Assisted Living.” In KI@HSBI 2025 - Zukunft Im Fokus, 13–14, 2025. https://doi.org/10.60802/sidas.2025.2.
HSBI-PUB | DOI | Download (ext.)
 
[57]
2025 | Konferenzbeitrag | FH-PUB-ID: 6203 | OA
Kaan, Altun, Benjamin Eris, Marc Halbrügge, Thorsten Jungeblut, Rolf Naumann, Mats Ottemeyer, Riza Öztürk, and Armin Pascanovic. “AQ-Shuttle: Eine Studie über autonome Quartiers-Shuttle mit Mobilstation in Bielefeld,” 2–3, 2025. https://doi.org/10.60802/sidas.2025.2.
HSBI-PUB | DOI | Download (ext.)
 
[56]
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
 
[55]
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
 
[54]
2024 | Konferenzbeitrag | FH-PUB-ID: 5061 | OA
Ahmed, Qazi Arbab, Somayeh Sadeghi-Kohan, Muhammad Awais, Marco Platzner, Sybille Hellebrand, Thorsten Jungeblut, and Hans-Joachim Wunderlich. “RelaX: Reliability Assessment in Approximate Circuits,” 2024.
HSBI-PUB | Dateien verfügbar | Download (ext.)
 
[53]
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
 
[52]
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.)
 
[51]
2024 | Diskussionspapier | FH-PUB-ID: 5498
Hammer, Barbara, Özge Alaçam, Clarissa Sabrina Arlinghaus, Mona Brinkmann, Helene Dörksen, Sanne Hoeken, Thorsten Jungeblut, et al. Sustainable Life-Cycle of Intelligent Socio-Technical Systems. Bielefeld University, 2024. https://doi.org/10.4119/UNIBI/2992602.
HSBI-PUB | DOI
 
[50]
2024 | Konferenzbeitrag | FH-PUB-ID: 5336
Attaullah, Hasina, Anum Kiani, and Thorsten Jungeblut. “Improving Transfer Learning and Domain Adaptation in Smart Homes: The Role of Dynamic Domain Adaptation Layer.” In 2024 International Conference on Frontiers of Information Technology (FIT), edited by IEEE, 1–6. IEEE, 2024. https://doi.org/10.1109/FIT63703.2024.10838396.
HSBI-PUB | DOI
 
[49]
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
 
[48]
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
 
[47]
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
 
[46]
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
 
[45]
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.)
 
[44]
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
 
[43]
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
 
[42]
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
 
[41]
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4639 | OA
Herzig, Tim Christian, Christian Marschner, Stephan Held, Thorsten Jungeblut, Justin Baudisch, Christoph Ostrau, Michael Klemm, Andreas Uphaus, Rena Amelung, and Annette Nauerth. “KI-gestütztes Monitoring zur Unterstützung in der häuslichen Pflege (KIMUP) .” In Kongress KI@HSBI2023 Solutions im Fokus - Posterbeiträge , edited by Institute for Data Science Solutions, 1:9–10. Kongress KI@HSBI2023 Solutions im Fokus - Posterbeiträge . Bielefeld: Hochschule Bielefeld, 2024. https://doi.org/10.60802/sidas.2024.1 .
HSBI-PUB | DOI | Download (ext.)
 
[40]
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
 
[39]
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.)
 
[38]
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.)
 
[37]
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
 
[36]
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.)
 
[35]
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.)
 
[34]
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.)
 
[33]
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.)
 
[32]
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.)
 
[31]
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
 
[30]
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
 
[29]
2022 | Artikel | FH-PUB-ID: 4482 | OA
Baudisch, Justin, Birte Richter, and Thorsten Jungeblut. “A Framework for Learning Event Sequences and Explaining Detected Anomalies in a Smart Home Environment.” KI - Künstliche Intelligenz 36, no. 3–4 (2022): 259–66. https://doi.org/10.1007/s13218-022-00775-5.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[28]
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
 
[27]
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.)
 
[26]
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
 
[25]
2019 | Konferenzbeitrag | FH-PUB-ID: 4483
Adams, Michael, Sadok Ben-Salem, Zahidul Islam, Arne Vogelsang, Thorsten Jungeblut, Ulrich Ruckert, Ivan Volosyak, et al. “Towards an SSVEP-BCI Controlled Smart Home.” In 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2737–42. IEEE, 2019. https://doi.org/10.1109/SMC.2019.8914668.
HSBI-PUB | DOI
 
[24]
2018 | Artikel | FH-PUB-ID: 4486
Ax, Johannes, Gregor Sievers, Julian Daberkow, Martin Flasskamp, Marten Vohrmann, Thorsten Jungeblut, Wayne Kelly, Mario Porrmann, and Ulrich Ruckert. “CoreVA-MPSoC: A Many-Core Architecture with Tightly Coupled Shared and Local Data Memories.” IEEE Transactions on Parallel and Distributed Systems 29, no. 5 (2018): 1030–43. https://doi.org/10.1109/TPDS.2017.2785799.
HSBI-PUB | DOI
 
[23]
2018 | Konferenzbeitrag | FH-PUB-ID: 4485
Gayen, Neela, Johannes Ax, Martin Flasskamp, Christian Klarhorst, Thorsten Jungeblut, Maolin Tang, and Wayne Kelly. “Scalable Mapping of Streaming Applications onto MPSoCs Using Optimistic Mixed Integer Linear Programming.” In 2018 26th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), 348–52. IEEE, 2018. https://doi.org/10.1109/PDP2018.2018.00062.
HSBI-PUB | DOI
 
[22]
2018 | Konferenzbeitrag | FH-PUB-ID: 4487
Cristal, Adrian, Osman S. Unsal, Xavier Martorell, Paul Carpenter, Raul De La Cruz, Leonardo Bautista, Daniel Jimenez, et al. “LEGaTO.” In Proceedings of the 15th ACM International Conference on Computing Frontiers, 276–78. New York, NY, USA: ACM, 2018. https://doi.org/10.1145/3203217.3205339.
HSBI-PUB | DOI
 
[21]
2018 | Konferenzbeitrag | FH-PUB-ID: 4484
Cristal, Adrian, Osman S. Unsal, Xavier Martorell, Paul Carpenter, Raul De La Cruz, Leonardo Bautista, Daniel Jimenez, et al. “LEGaTO.” In Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, 210–17. New York, USA: ACM, 2018. https://doi.org/10.1145/3229631.3239370.
HSBI-PUB | DOI
 
[20]
2017 | Buchbeitrag | FH-PUB-ID: 4490
Sievers, Gregor, Boris Hübener, Johannes Ax, Martin Flasskamp, Wayne Kelly, Thorsten Jungeblut, and Mario Porrmann. “The CoreVA-MPSoC: A Multiprocessor Platform for Software-Defined Radio.” In Computing Platforms for Software-Defined Radio, edited by Waqar Hussain, Jari Nurmi, Jouni Isoaho, and Fabio Garzia, 29–59. Cham: Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-49679-5_3.
HSBI-PUB | DOI
 
[19]
2017 | Konferenzbeitrag | FH-PUB-ID: 4489
Hesse, Marc, Andre Frank Krause, Ludwig Vogel, Bhavin Chamadiya, Michael Schilling, Thomas Schack, and Thorsten Jungeblut. “A Connected Chair as Part of a Smart Home Environment.” In 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 47–50. IEEE, 2017. https://doi.org/10.1109/BSN.2017.7936004.
HSBI-PUB | DOI
 
[18]
2017 | Konferenzbeitrag | FH-PUB-ID: 4488
Vohrmann, Marten, Philippe Geisler, Thorsten Jungeblut, and Ulrich Ruckert. “Design-Space Exploration of Ultra-Low Power CMOS Logic Gates in a 28 Nm FD-SOI Technology.” In 2017 European Conference on Circuit Theory and Design (ECCTD), 1–4. IEEE, 2017. https://doi.org/10.1109/ECCTD.2017.8093232.
HSBI-PUB | DOI
 
[17]
2016 | Konferenzbeitrag | FH-PUB-ID: 4491
Flasskamp, Martin, Gregor Sievers, Johannes Ax, Christian Klarhorst, Thorsten Jungeblut, Wayne Kelly, Michael Thies, and Mario Porrmann. “Performance Estimation of Streaming Applications for Hierarchical MPSoCs.” In Proceedings of the 2016 Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools, 1–6. New York, NY, USA: ACM, 2016. https://doi.org/10.1145/2852339.2852342.
HSBI-PUB | DOI
 
[16]
2015 | Konferenzbeitrag | FH-PUB-ID: 4496
Ax, Johannes, Gregor Sievers, Martin Flasskamp, Wayne Kelly, Thorsten Jungeblut, and Mario Porrmann. “System-Level Analysis of Network Interfaces for Hierarchical MPSoCs.” In Proceedings of the 8th International Workshop on Network on Chip Architectures, 3–8. New York, NY, USA: ACM, 2015. https://doi.org/10.1145/2835512.2835513.
HSBI-PUB | DOI
 
[15]
2015 | Konferenzbeitrag | FH-PUB-ID: 4494
Sievers, Gregor, Johannes Ax, Nils Kucza, Martin Flaskamp, Thorsten Jungeblut, Wayne Kelly, Mario Porrmann, and Ulrich Rückert. “Evaluation of Interconnect Fabrics for an Embedded MPSoC in 28 Nm FD-SOI.” In 2015 IEEE International Symposium on Circuits and Systems (ISCAS), 1925–28. IEEE, 2015. https://doi.org/10.1109/ISCAS.2015.7169049.
HSBI-PUB | DOI
 
[14]
2015 | Konferenzbeitrag | FH-PUB-ID: 4493
Sievers, Gregor, Julian Daberkow, Johannes Ax, Martin Flasskamp, Wayne Kelly, Thorsten Jungeblut, Mario Porrmann, and Ulrich Rückert. “Comparison of Shared and Private L1 Data Memories for an Embedded MPSoC in 28nm FD-SOI.” In 2015 IEEE 9th International Symposium on Embedded Multicore/Many-Core Systems-on-Chip, 175–81. IEEE, 2015. https://doi.org/10.1109/MCSoC.2015.25.
HSBI-PUB | DOI
 
[13]
2015 | Konferenzbeitrag | FH-PUB-ID: 4492
Vohrmann, Marten, Saikat Chatterjee, Sven Lutkemeier, Thorsten Jungeblut, Mario Porrmann, and Ulrich Rückert. “A 65 Nm Standard Cell Library for Ultra Low-Power Applications.” In 2015 European Conference on Circuit Theory and Design (ECCTD), 1–4. IEEE, 2015. https://doi.org/10.1109/ECCTD.2015.7300041.
HSBI-PUB | DOI
 
[12]
2014 | Konferenzbeitrag | FH-PUB-ID: 4498
Hübener, Boris, Gregor Sievers, Thorsten Jungeblut, Mario Porrmann, and Ulrich Rückert. “CoreVA: A Configurable Resource-Efficient VLIW Processor Architecture.” In 2014 12th IEEE International Conference on Embedded and Ubiquitous Computing, 9–16. IEEE, 2014. https://doi.org/10.1109/EUC.2014.11.
HSBI-PUB | DOI
 
[11]
2014 | Konferenzbeitrag | FH-PUB-ID: 4497
Kelly, Wayne, Martin Flasskamp, Gregor Sievers, Johannes Ax, Jianing Chen, Christian Klarhorst, Christoph Ragg, Thorsten Jungeblut, and Andrew Sorensen. “A Communication Model and Partitioning Algorithm for Streaming Applications for an Embedded MPSoC.” In 2014 International Symposium on System-on-Chip (SoC), 1–6. IEEE, 2014. https://doi.org/10.1109/ISSOC.2014.6972436.
HSBI-PUB | DOI
 
[10]
2014 | Konferenzbeitrag | FH-PUB-ID: 4495
Keuck, L., F. Hemmelgarn, N. Fröhleke, J. Böcker, M. Vohrmann, Thorsten Jungeblut, and U. Rückert. “Neuro Control of a PFC Rectifier for Harmonic Reduction at Partial Loads.” In 2014 International Conference on Advances in Green Energy (ICAGE), 94–99. IEEE, 2014. https://doi.org/10.1109/ICAGE.2014.7050149.
HSBI-PUB | DOI
 
[9]
2013 | Konferenzbeitrag | FH-PUB-ID: 4502
Christ, Peter, Gregor Sievers, Julian Einhaus, Thorsten Jungeblut, Mario Porrmann, and Ulrich Rückert. “Pareto-Optimal Signal Processing on Low-Power Microprocessors.” In 2013 IEEE SENSORS, 1–4. IEEE, 2013. https://doi.org/10.1109/ICSENS.2013.6688593.
HSBI-PUB | DOI
 
[8]
2013 | Konferenzbeitrag | FH-PUB-ID: 4501
Sievers, Gregor, Peter Christ, Julian Einhaus, Thorsten Jungeblut, Mario Porrmann, and Ulrich Rückert. “Design-Space Exploration of the Configurable 32 Bit VLIW Processor CoreVA for Signal Processing Applications.” In 2013 NORCHIP, 1–4. IEEE, 2013. https://doi.org/10.1109/NORCHIP.2013.6702002.
HSBI-PUB | DOI
 
[7]
2013 | Artikel | FH-PUB-ID: 4500
Jungeblut, Thorsten, Boris Hübener, Mario Porrmann, and Ulrich Rückert. “A Systematic Approach for Optimized Bypass Configurations for Application-Specific Embedded Processors.” ACM Transactions on Embedded Computing Systems 13, no. 2 (2013): 1–25. https://doi.org/10.1145/2514641.2514645.
HSBI-PUB | DOI
 
[6]
2013 | Artikel | FH-PUB-ID: 4499
Lütkemeier, Sven, Thorsten Jungeblut, Hans Kristian Otnes Berge, Snorre Aunet, Mario Porrmann, and Ulrich Rückert. “A 65 Nm 32 b Subthreshold Processor With 9T Multi-Vt SRAM and Adaptive Supply Voltage Control.” IEEE Journal of Solid-State Circuits 48, no. 1 (2013): 8–19. https://doi.org/10.1109/JSSC.2012.2220671.
HSBI-PUB | DOI
 
[5]
2012 | Konferenzbeitrag | FH-PUB-ID: 4504
Jungeblut, Thorsten, Johannes Ax, Mario Porrmann, and Ulrich Rückert. “A TCMS-Based Architecture for GALS NoCs.” In 2012 IEEE International Symposium on Circuits and Systems, 2721–24. IEEE, 2012. https://doi.org/10.1109/ISCAS.2012.6271870.
HSBI-PUB | DOI
 
[4]
2012 | Konferenzbeitrag | FH-PUB-ID: 4503
Luetkemeier, Sven, Thorsten Jungeblut, Mario Porrmann, and Ulrich Rückert. “A 200mV 32b Subthreshold Processor with Adaptive Supply Voltage Control.” In 2012 IEEE International Solid-State Circuits Conference, 484–86. IEEE, 2012. https://doi.org/10.1109/ISSCC.2012.6177101.
HSBI-PUB | DOI
 
[3]
2010 | Artikel | FH-PUB-ID: 4506
Jungeblut, Thorsten, C. Puttmann, R. Dreesen, M. Porrmann, M. Thies, U. Rückert, and U. Kastens. “Resource Efficiency of Hardware Extensions of a 4-Issue VLIW Processor for Elliptic Curve Cryptography.” Advances in Radio Science 8 (2010): 295–305. https://doi.org/10.5194/ars-8-295-2010.
HSBI-PUB | DOI
 
[2]
2010 | Konferenzbeitrag | FH-PUB-ID: 4505
Jungeblut, Thorsten, Gregor Sievers, Mario Porrmann, and Ulrich Rückert. “Design Space Exploration for Memory Subsystems of VLIW Architectures.” In 2010 IEEE Fifth International Conference on Networking, Architecture, and Storage, 377–85. IEEE, 2010. https://doi.org/10.1109/NAS.2010.14.
HSBI-PUB | DOI
 
[1]
2008 | Artikel | FH-PUB-ID: 4507
Jungeblut, Thorsten, M. Grünewald, M. Porrmann, and U. Rückert. “Realtime Multiprocessor for Mobile Ad Hoc Networks.” Advances in Radio Science 6 (2008): 239–43. https://doi.org/10.5194/ars-6-239-2008.
HSBI-PUB | DOI
 
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[74]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6365
Köse, Mohammad Ibrahim, Qazi Arbab Ahmed, and Thorsten Jungeblut. “Bridging the Gap Between AI Quantization and Edge Deployment: INT4 and INT8 on the Edge.” In The 5th Muslims in Machine Learning (MusIML) Workshop Co-Located with NeurIPS 2025, edited by NeurIPS 2025 . San Diego, CA, USA., 2025.
HSBI-PUB | Download (ext.)
 
[73]
2025 | Konferenzbeitrag | FH-PUB-ID: 6355
Attaullah, Hasina, Christian Peters, Annika Peters, and Thorsten Jungeblut. “AI Meets Elderly Care: Mining Smart Home Data for Dementia and Depression Detection.” Edited by Schriftenreihe des Institute for Data Science Solutions. KI2025@HSBI Zukunft Im Fokus. Bielefeld, 2025. https://doi.org/10.60802/SIDAS.2025.2.
HSBI-PUB | Dateien verfügbar | DOI
 
[72]
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
 
[71]
2025 | Konferenzbeitrag | FH-PUB-ID: 6073 | OA
Jalil, Farjana, Muhammad Awais, Qazi Arbab Ahmed, Hassan Ghasemzadeh Mohammadi, Thorsten Jungeblut, and Marco Platzner. “Deep&Wide: Achieving Area Efficiency in Scalable Approximate Accelerators.” In 2025 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), edited by Institute of Electrical and Electronics Engineers (IEEE), 115–18. IEEE, 2025. https://doi.org/10.1109/DSN-W65791.2025.00048.
HSBI-PUB | DOI | Download (ext.)
 
[70]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6080
Jalil, Farjana, Julien Leuering, Qazi Arbab Ahmed, Wolfram Schenck, and Thorsten Jungeblut. “NNXC: Neural Network Meets Approximate Computing.” Bielefeld: Institute for Data Science Solutions, 2025.
HSBI-PUB
 
[69]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6082
Wermuth, Stella, Qazi Arbab Ahmed, and Thorsten Jungeblut. “From Fisheye to Fusion: Towards Efficient AI-Based Indoor Perception for Public Transportation.” In Workshop on AI and Its Applications. Bielefeld: Institute for Data Science Solutions, 2025.
HSBI-PUB
 
[68]
2025 | Konferenzbeitrag | FH-PUB-ID: 6140
Ahmed, Qazi Arbab, Danish Mehmood Mughal, Daniyal Munir, Hans D. Schotten, Thorsten Jungeblut, Sang-Hyo Kim, and Min Young Chung. “MALRIS: Malicious Hardware in RIS-Assisted Wireless Communications.” arXiv, 2025. https://doi.org/10.48550/ARXIV.2508.06340.
HSBI-PUB | DOI
 
[67]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6083
Köse, Mohammad Ibrahim, Qazi Arbab Ahmed, and Thorsten Jungeblut. “Edge4OD: An Automated Framework for Efficient Execution of Object Detection Algorithms on Edge Devices.” Bielefeld: Institute for Data Science Solutions, 2025. https://doi.org/10.60802/sidas.2025.2.
HSBI-PUB | DOI
 
[66]
2025 | Konferenzbeitrag | FH-PUB-ID: 6204 | OA
Attaullah, Hasina, Marc Halbrügge, Rolf Naumann, and Thorsten Jungeblut. “Digitaler Bahnhof Minden: Künstliche Intelligenz für den Bahnhof der Zukunft,” 4–5, 2025. https://doi.org/10.60802/sidas.2025.2.
HSBI-PUB | DOI | Download (ext.)
 
[65]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6081
Jalil, Farjana, Julien Leuering, Qazi Arbab Ahmed, Wolfram Schenck, and Thorsten Jungeblut. “AutoDSE: Towards HW/AI Co-Design of Ultra-Low Latency Hardware Accelerators for Industrial Applications.” In Workshop on AI and Its Applications. Bielefeld: Institute for Data Science Solutions, 2025. https://doi.org/10.60802/sidas.2025.2.
HSBI-PUB | DOI
 
[64]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6077
Leuering, Julien, Farjana Jalil, Qazi Arbab Ahmed, Wolfram Schenck, and Thorsten Jungeblut. “Cognitive Edge Computing for Multi-Sensor Applications with Sparse Data and High Latency Requirements.” Bielefeld: Institute for Data Science Solutions, n.d.
HSBI-PUB
 
[63]
2025 | Konferenzbeitrag | FH-PUB-ID: 6302 | OA
Wermuth, Stella, and Thorsten Jungeblut. “Bridging the Dataset Gap: Domain Adaptation for Fisheye Passenger Detection.” In KI2025@HSBI Zukunft Im Fokus, 28–29. Schriftenreihe Des Institute for Data Science Solutions, 2025. https://doi.org/10.60802/SIDAS.2025.2.
HSBI-PUB | DOI | Download (ext.)
 
[62]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6175
Halbrügge, Marc, and Thorsten Jungeblut. “Beyond Heatmaps: Evaluating LIME Visualizations for Human Understandability.” In KogWis 2025. 16th Biannual Conference of the German Cognitive Science Society., edited by Gesellschaft für Kognitionswissenschaft, 2025.
HSBI-PUB
 
[61]
2025 | Artikel | FH-PUB-ID: 6240 | OA
Jagemann, Inga, Justin Baudisch, Thorsten Jungeblut, Günter W. Maier, and Gerrit Hirschfeld. “The More You Know, the Less You Want to Rely on It – Consumer Preferences for AI-Based Health Monitoring in Smart Home Systems.” PsychArchives, 2025. https://doi.org/10.23668/PSYCHARCHIVES.21275.
HSBI-PUB | DOI | Download (ext.)
 
[60]
2025 | Konferenzbeitrag | FH-PUB-ID: 6206 | OA
Kwossek, Jana, Benjamin Eris, Marie Bollien, Kaan Altun, Armin Pascanovic, Marc Halbrügge, Manuel Stegemann, and Thorsten Jungeblut. “AQ-Shuttle: Autonomous Robots for Last Mile Delivery.” In Workshop on Autonomous Delivery and Service Robots on Pedestrian and Cycle Paths, 2025.
HSBI-PUB | Download (ext.)
 
[59]
2025 | Konferenzbeitrag | FH-PUB-ID: 6205
Kwossek, Jana, Benjamin Eris, Marie Bollien, Manuel Stegemann, Kaan Altun, Marc Halbrügge, Thorsten Jungeblut, Sandro Meyer, and Armin Pascanovic. “Autonomous District Shuttles for Last-Mile Delivery: Acceptance, Public Requirements, and Their Role in Urban Development.” In HUMANIST Conference 2025, 2025.
HSBI-PUB
 
[58]
2025 | Konferenzbeitrag | FH-PUB-ID: 6202 | OA
Halbrügge, Marc, and Thorsten Jungeblut. “Statistical Learning of Daily Routines in the Smart Home for Privacy-Preserving Assisted Living.” In KI@HSBI 2025 - Zukunft Im Fokus, 13–14, 2025. https://doi.org/10.60802/sidas.2025.2.
HSBI-PUB | DOI | Download (ext.)
 
[57]
2025 | Konferenzbeitrag | FH-PUB-ID: 6203 | OA
Kaan, Altun, Benjamin Eris, Marc Halbrügge, Thorsten Jungeblut, Rolf Naumann, Mats Ottemeyer, Riza Öztürk, and Armin Pascanovic. “AQ-Shuttle: Eine Studie über autonome Quartiers-Shuttle mit Mobilstation in Bielefeld,” 2–3, 2025. https://doi.org/10.60802/sidas.2025.2.
HSBI-PUB | DOI | Download (ext.)
 
[56]
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
 
[55]
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
 
[54]
2024 | Konferenzbeitrag | FH-PUB-ID: 5061 | OA
Ahmed, Qazi Arbab, Somayeh Sadeghi-Kohan, Muhammad Awais, Marco Platzner, Sybille Hellebrand, Thorsten Jungeblut, and Hans-Joachim Wunderlich. “RelaX: Reliability Assessment in Approximate Circuits,” 2024.
HSBI-PUB | Dateien verfügbar | Download (ext.)
 
[53]
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
 
[52]
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.)
 
[51]
2024 | Diskussionspapier | FH-PUB-ID: 5498
Hammer, Barbara, Özge Alaçam, Clarissa Sabrina Arlinghaus, Mona Brinkmann, Helene Dörksen, Sanne Hoeken, Thorsten Jungeblut, et al. Sustainable Life-Cycle of Intelligent Socio-Technical Systems. Bielefeld University, 2024. https://doi.org/10.4119/UNIBI/2992602.
HSBI-PUB | DOI
 
[50]
2024 | Konferenzbeitrag | FH-PUB-ID: 5336
Attaullah, Hasina, Anum Kiani, and Thorsten Jungeblut. “Improving Transfer Learning and Domain Adaptation in Smart Homes: The Role of Dynamic Domain Adaptation Layer.” In 2024 International Conference on Frontiers of Information Technology (FIT), edited by IEEE, 1–6. IEEE, 2024. https://doi.org/10.1109/FIT63703.2024.10838396.
HSBI-PUB | DOI
 
[49]
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
 
[48]
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
 
[47]
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
 
[46]
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
 
[45]
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.)
 
[44]
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
 
[43]
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
 
[42]
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
 
[41]
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4639 | OA
Herzig, Tim Christian, Christian Marschner, Stephan Held, Thorsten Jungeblut, Justin Baudisch, Christoph Ostrau, Michael Klemm, Andreas Uphaus, Rena Amelung, and Annette Nauerth. “KI-gestütztes Monitoring zur Unterstützung in der häuslichen Pflege (KIMUP) .” In Kongress KI@HSBI2023 Solutions im Fokus - Posterbeiträge , edited by Institute for Data Science Solutions, 1:9–10. Kongress KI@HSBI2023 Solutions im Fokus - Posterbeiträge . Bielefeld: Hochschule Bielefeld, 2024. https://doi.org/10.60802/sidas.2024.1 .
HSBI-PUB | DOI | Download (ext.)
 
[40]
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
 
[39]
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.)
 
[38]
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.)
 
[37]
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
 
[36]
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.)
 
[35]
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.)
 
[34]
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.)
 
[33]
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.)
 
[32]
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.)
 
[31]
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
 
[30]
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
 
[29]
2022 | Artikel | FH-PUB-ID: 4482 | OA
Baudisch, Justin, Birte Richter, and Thorsten Jungeblut. “A Framework for Learning Event Sequences and Explaining Detected Anomalies in a Smart Home Environment.” KI - Künstliche Intelligenz 36, no. 3–4 (2022): 259–66. https://doi.org/10.1007/s13218-022-00775-5.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[28]
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
 
[27]
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.)
 
[26]
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
 
[25]
2019 | Konferenzbeitrag | FH-PUB-ID: 4483
Adams, Michael, Sadok Ben-Salem, Zahidul Islam, Arne Vogelsang, Thorsten Jungeblut, Ulrich Ruckert, Ivan Volosyak, et al. “Towards an SSVEP-BCI Controlled Smart Home.” In 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2737–42. IEEE, 2019. https://doi.org/10.1109/SMC.2019.8914668.
HSBI-PUB | DOI
 
[24]
2018 | Artikel | FH-PUB-ID: 4486
Ax, Johannes, Gregor Sievers, Julian Daberkow, Martin Flasskamp, Marten Vohrmann, Thorsten Jungeblut, Wayne Kelly, Mario Porrmann, and Ulrich Ruckert. “CoreVA-MPSoC: A Many-Core Architecture with Tightly Coupled Shared and Local Data Memories.” IEEE Transactions on Parallel and Distributed Systems 29, no. 5 (2018): 1030–43. https://doi.org/10.1109/TPDS.2017.2785799.
HSBI-PUB | DOI
 
[23]
2018 | Konferenzbeitrag | FH-PUB-ID: 4485
Gayen, Neela, Johannes Ax, Martin Flasskamp, Christian Klarhorst, Thorsten Jungeblut, Maolin Tang, and Wayne Kelly. “Scalable Mapping of Streaming Applications onto MPSoCs Using Optimistic Mixed Integer Linear Programming.” In 2018 26th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), 348–52. IEEE, 2018. https://doi.org/10.1109/PDP2018.2018.00062.
HSBI-PUB | DOI
 
[22]
2018 | Konferenzbeitrag | FH-PUB-ID: 4487
Cristal, Adrian, Osman S. Unsal, Xavier Martorell, Paul Carpenter, Raul De La Cruz, Leonardo Bautista, Daniel Jimenez, et al. “LEGaTO.” In Proceedings of the 15th ACM International Conference on Computing Frontiers, 276–78. New York, NY, USA: ACM, 2018. https://doi.org/10.1145/3203217.3205339.
HSBI-PUB | DOI
 
[21]
2018 | Konferenzbeitrag | FH-PUB-ID: 4484
Cristal, Adrian, Osman S. Unsal, Xavier Martorell, Paul Carpenter, Raul De La Cruz, Leonardo Bautista, Daniel Jimenez, et al. “LEGaTO.” In Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, 210–17. New York, USA: ACM, 2018. https://doi.org/10.1145/3229631.3239370.
HSBI-PUB | DOI
 
[20]
2017 | Buchbeitrag | FH-PUB-ID: 4490
Sievers, Gregor, Boris Hübener, Johannes Ax, Martin Flasskamp, Wayne Kelly, Thorsten Jungeblut, and Mario Porrmann. “The CoreVA-MPSoC: A Multiprocessor Platform for Software-Defined Radio.” In Computing Platforms for Software-Defined Radio, edited by Waqar Hussain, Jari Nurmi, Jouni Isoaho, and Fabio Garzia, 29–59. Cham: Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-49679-5_3.
HSBI-PUB | DOI
 
[19]
2017 | Konferenzbeitrag | FH-PUB-ID: 4489
Hesse, Marc, Andre Frank Krause, Ludwig Vogel, Bhavin Chamadiya, Michael Schilling, Thomas Schack, and Thorsten Jungeblut. “A Connected Chair as Part of a Smart Home Environment.” In 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 47–50. IEEE, 2017. https://doi.org/10.1109/BSN.2017.7936004.
HSBI-PUB | DOI
 
[18]
2017 | Konferenzbeitrag | FH-PUB-ID: 4488
Vohrmann, Marten, Philippe Geisler, Thorsten Jungeblut, and Ulrich Ruckert. “Design-Space Exploration of Ultra-Low Power CMOS Logic Gates in a 28 Nm FD-SOI Technology.” In 2017 European Conference on Circuit Theory and Design (ECCTD), 1–4. IEEE, 2017. https://doi.org/10.1109/ECCTD.2017.8093232.
HSBI-PUB | DOI
 
[17]
2016 | Konferenzbeitrag | FH-PUB-ID: 4491
Flasskamp, Martin, Gregor Sievers, Johannes Ax, Christian Klarhorst, Thorsten Jungeblut, Wayne Kelly, Michael Thies, and Mario Porrmann. “Performance Estimation of Streaming Applications for Hierarchical MPSoCs.” In Proceedings of the 2016 Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools, 1–6. New York, NY, USA: ACM, 2016. https://doi.org/10.1145/2852339.2852342.
HSBI-PUB | DOI
 
[16]
2015 | Konferenzbeitrag | FH-PUB-ID: 4496
Ax, Johannes, Gregor Sievers, Martin Flasskamp, Wayne Kelly, Thorsten Jungeblut, and Mario Porrmann. “System-Level Analysis of Network Interfaces for Hierarchical MPSoCs.” In Proceedings of the 8th International Workshop on Network on Chip Architectures, 3–8. New York, NY, USA: ACM, 2015. https://doi.org/10.1145/2835512.2835513.
HSBI-PUB | DOI
 
[15]
2015 | Konferenzbeitrag | FH-PUB-ID: 4494
Sievers, Gregor, Johannes Ax, Nils Kucza, Martin Flaskamp, Thorsten Jungeblut, Wayne Kelly, Mario Porrmann, and Ulrich Rückert. “Evaluation of Interconnect Fabrics for an Embedded MPSoC in 28 Nm FD-SOI.” In 2015 IEEE International Symposium on Circuits and Systems (ISCAS), 1925–28. IEEE, 2015. https://doi.org/10.1109/ISCAS.2015.7169049.
HSBI-PUB | DOI
 
[14]
2015 | Konferenzbeitrag | FH-PUB-ID: 4493
Sievers, Gregor, Julian Daberkow, Johannes Ax, Martin Flasskamp, Wayne Kelly, Thorsten Jungeblut, Mario Porrmann, and Ulrich Rückert. “Comparison of Shared and Private L1 Data Memories for an Embedded MPSoC in 28nm FD-SOI.” In 2015 IEEE 9th International Symposium on Embedded Multicore/Many-Core Systems-on-Chip, 175–81. IEEE, 2015. https://doi.org/10.1109/MCSoC.2015.25.
HSBI-PUB | DOI
 
[13]
2015 | Konferenzbeitrag | FH-PUB-ID: 4492
Vohrmann, Marten, Saikat Chatterjee, Sven Lutkemeier, Thorsten Jungeblut, Mario Porrmann, and Ulrich Rückert. “A 65 Nm Standard Cell Library for Ultra Low-Power Applications.” In 2015 European Conference on Circuit Theory and Design (ECCTD), 1–4. IEEE, 2015. https://doi.org/10.1109/ECCTD.2015.7300041.
HSBI-PUB | DOI
 
[12]
2014 | Konferenzbeitrag | FH-PUB-ID: 4498
Hübener, Boris, Gregor Sievers, Thorsten Jungeblut, Mario Porrmann, and Ulrich Rückert. “CoreVA: A Configurable Resource-Efficient VLIW Processor Architecture.” In 2014 12th IEEE International Conference on Embedded and Ubiquitous Computing, 9–16. IEEE, 2014. https://doi.org/10.1109/EUC.2014.11.
HSBI-PUB | DOI
 
[11]
2014 | Konferenzbeitrag | FH-PUB-ID: 4497
Kelly, Wayne, Martin Flasskamp, Gregor Sievers, Johannes Ax, Jianing Chen, Christian Klarhorst, Christoph Ragg, Thorsten Jungeblut, and Andrew Sorensen. “A Communication Model and Partitioning Algorithm for Streaming Applications for an Embedded MPSoC.” In 2014 International Symposium on System-on-Chip (SoC), 1–6. IEEE, 2014. https://doi.org/10.1109/ISSOC.2014.6972436.
HSBI-PUB | DOI
 
[10]
2014 | Konferenzbeitrag | FH-PUB-ID: 4495
Keuck, L., F. Hemmelgarn, N. Fröhleke, J. Böcker, M. Vohrmann, Thorsten Jungeblut, and U. Rückert. “Neuro Control of a PFC Rectifier for Harmonic Reduction at Partial Loads.” In 2014 International Conference on Advances in Green Energy (ICAGE), 94–99. IEEE, 2014. https://doi.org/10.1109/ICAGE.2014.7050149.
HSBI-PUB | DOI
 
[9]
2013 | Konferenzbeitrag | FH-PUB-ID: 4502
Christ, Peter, Gregor Sievers, Julian Einhaus, Thorsten Jungeblut, Mario Porrmann, and Ulrich Rückert. “Pareto-Optimal Signal Processing on Low-Power Microprocessors.” In 2013 IEEE SENSORS, 1–4. IEEE, 2013. https://doi.org/10.1109/ICSENS.2013.6688593.
HSBI-PUB | DOI
 
[8]
2013 | Konferenzbeitrag | FH-PUB-ID: 4501
Sievers, Gregor, Peter Christ, Julian Einhaus, Thorsten Jungeblut, Mario Porrmann, and Ulrich Rückert. “Design-Space Exploration of the Configurable 32 Bit VLIW Processor CoreVA for Signal Processing Applications.” In 2013 NORCHIP, 1–4. IEEE, 2013. https://doi.org/10.1109/NORCHIP.2013.6702002.
HSBI-PUB | DOI
 
[7]
2013 | Artikel | FH-PUB-ID: 4500
Jungeblut, Thorsten, Boris Hübener, Mario Porrmann, and Ulrich Rückert. “A Systematic Approach for Optimized Bypass Configurations for Application-Specific Embedded Processors.” ACM Transactions on Embedded Computing Systems 13, no. 2 (2013): 1–25. https://doi.org/10.1145/2514641.2514645.
HSBI-PUB | DOI
 
[6]
2013 | Artikel | FH-PUB-ID: 4499
Lütkemeier, Sven, Thorsten Jungeblut, Hans Kristian Otnes Berge, Snorre Aunet, Mario Porrmann, and Ulrich Rückert. “A 65 Nm 32 b Subthreshold Processor With 9T Multi-Vt SRAM and Adaptive Supply Voltage Control.” IEEE Journal of Solid-State Circuits 48, no. 1 (2013): 8–19. https://doi.org/10.1109/JSSC.2012.2220671.
HSBI-PUB | DOI
 
[5]
2012 | Konferenzbeitrag | FH-PUB-ID: 4504
Jungeblut, Thorsten, Johannes Ax, Mario Porrmann, and Ulrich Rückert. “A TCMS-Based Architecture for GALS NoCs.” In 2012 IEEE International Symposium on Circuits and Systems, 2721–24. IEEE, 2012. https://doi.org/10.1109/ISCAS.2012.6271870.
HSBI-PUB | DOI
 
[4]
2012 | Konferenzbeitrag | FH-PUB-ID: 4503
Luetkemeier, Sven, Thorsten Jungeblut, Mario Porrmann, and Ulrich Rückert. “A 200mV 32b Subthreshold Processor with Adaptive Supply Voltage Control.” In 2012 IEEE International Solid-State Circuits Conference, 484–86. IEEE, 2012. https://doi.org/10.1109/ISSCC.2012.6177101.
HSBI-PUB | DOI
 
[3]
2010 | Artikel | FH-PUB-ID: 4506
Jungeblut, Thorsten, C. Puttmann, R. Dreesen, M. Porrmann, M. Thies, U. Rückert, and U. Kastens. “Resource Efficiency of Hardware Extensions of a 4-Issue VLIW Processor for Elliptic Curve Cryptography.” Advances in Radio Science 8 (2010): 295–305. https://doi.org/10.5194/ars-8-295-2010.
HSBI-PUB | DOI
 
[2]
2010 | Konferenzbeitrag | FH-PUB-ID: 4505
Jungeblut, Thorsten, Gregor Sievers, Mario Porrmann, and Ulrich Rückert. “Design Space Exploration for Memory Subsystems of VLIW Architectures.” In 2010 IEEE Fifth International Conference on Networking, Architecture, and Storage, 377–85. IEEE, 2010. https://doi.org/10.1109/NAS.2010.14.
HSBI-PUB | DOI
 
[1]
2008 | Artikel | FH-PUB-ID: 4507
Jungeblut, Thorsten, M. Grünewald, M. Porrmann, and U. Rückert. “Realtime Multiprocessor for Mobile Ad Hoc Networks.” Advances in Radio Science 6 (2008): 239–43. https://doi.org/10.5194/ars-6-239-2008.
HSBI-PUB | DOI
 
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