PUBLIKATIONSSERVER

Thorsten Jungeblut

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

74 Publikationen

Alle markieren

[74]
2025 | Konferenzbeitrag | FH-PUB-ID: 6205
J. Kwossek et al., “Autonomous District Shuttles for Last-Mile Delivery: Acceptance, Public Requirements, and Their Role in Urban Development,” in HUMANIST Conference 2025, 2025.
HSBI-PUB
 
[73]
2025 | Konferenzbeitrag | FH-PUB-ID: 6203 | OA
A. Kaan et al., “AQ-Shuttle: Eine Studie über autonome Quartiers-Shuttle mit Mobilstation in Bielefeld,” presented at the KI@HSBI 2025 - Zukunft im Fokus, Bielefeld, 2025, no. 2, pp. 2–3.
HSBI-PUB | DOI | Download (ext.)
 
[72]
2025 | Konferenzbeitrag | FH-PUB-ID: 6206 | OA
J. Kwossek et al., “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.)
 
[71]
2025 | Konferenzbeitrag | FH-PUB-ID: 6202 | OA
M. Halbrügge and T. Jungeblut, “Statistical Learning of Daily Routines in the Smart Home for Privacy-Preserving Assisted Living,” in KI@HSBI 2025 - Zukunft im Fokus, Bielefeld, 2025, no. 2, pp. 13–14.
HSBI-PUB | DOI | Download (ext.)
 
[70]
2025 | Artikel | FH-PUB-ID: 6240 | OA
I. Jagemann, J. Baudisch, T. Jungeblut, G. W. Maier, and G. 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.
HSBI-PUB | DOI | Download (ext.)
 
[69]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6175
M. Halbrügge and T. Jungeblut, “Beyond Heatmaps: Evaluating LIME Visualizations for Human Understandability,” in KogWis 2025. 16th Biannual Conference of the German Cognitive Science Society., Bochum, 2025.
HSBI-PUB
 
[68]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6082
S. Wermuth, Q. A. Ahmed, and T. Jungeblut, “From Fisheye to Fusion: Towards Efficient AI-based Indoor Perception for Public Transportation,” in Workshop on AI and its Applications, Bielefeld, 2025.
HSBI-PUB
 
[67]
2025 | Artikel | FH-PUB-ID: 5366
S. Sanaullah, A. Schneider, J. Waßmuth, U. Rückert, and T. Jungeblut, “RAVSim v2.0: Enhanced visualization and comparative analysis for neural network models,” SoftwareX, vol. 29, 2025.
HSBI-PUB | DOI
 
[66]
2025 | Konferenzbeitrag | FH-PUB-ID: 6302 | OA
S. Wermuth and T. Jungeblut, “Bridging the Dataset Gap: Domain Adaptation for Fisheye Passenger Detection,” in KI2025@HSBI Zukunft im Fokus, 2025, no. 2, pp. 28–29.
HSBI-PUB | DOI | Download (ext.)
 
[65]
2025 | Konferenzbeitrag | FH-PUB-ID: 5976
S. Sanaullah, H. Honda, K. Roy, A. Schneider, J. Waßmuth, and T. Jungeblut, “Automating Neural Model Selection in Spiking Neural Networks Using AutoML Techniques*,” in 2025 22nd International Learning and Technology Conference (L&T), Jeddah, Saudi Arabia, 2025, pp. 274–279.
HSBI-PUB | DOI
 
[64]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6365
M. I. Köse, Q. A. Ahmed, and T. 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, San Diego, CA, USA., 2025.
HSBI-PUB | Download (ext.)
 
[63]
2025 | Konferenzbeitrag | FH-PUB-ID: 6355
H. Attaullah, C. Peters, A. Peters, and T. Jungeblut, “AI Meets Elderly Care: Mining Smart Home Data for Dementia and Depression Detection,” vol. 2. Bielefeld, pp. 38–39, 2025.
HSBI-PUB | Dateien verfügbar | DOI
 
[62]
2025 | Artikel | FH-PUB-ID: 6139
H. Attaullah, S. Sanaullah, A. Peters, Q. A. Ahmed, J. Baudisch, and T. Jungeblut, “DNA: detecting early signs of neurodegenerative diseases through activity and sleep analysis,” Frontiers in Neuroscience, vol. 19, 2025.
HSBI-PUB | DOI
 
[61]
2025 | Konferenzbeitrag | FH-PUB-ID: 6073 | OA
F. Jalil, M. Awais, Q. A. Ahmed, H. G. Mohammadi, T. Jungeblut, and M. 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), Naples, Italy , 2025, pp. 115–118.
HSBI-PUB | DOI | Download (ext.)
 
[60]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6080
F. Jalil, J. Leuering, Q. A. Ahmed, W. Schenck, and T. Jungeblut, “NNXC: Neural Network Meets Approximate Computing,” presented at the KI und ihre Anwendungen – Aktuelle Forschungsarbeiten des wissenschaftlichen Nachwuchses, Bielefeld, 2025.
HSBI-PUB
 
[59]
2025 | Konferenzbeitrag | FH-PUB-ID: 6140
Q. A. Ahmed et al., “MALRIS: Malicious Hardware in RIS-Assisted Wireless Communications,” presented at the IEEE CSCN 2025, Bologna Italy, 2025.
HSBI-PUB | DOI
 
[58]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6083
M. I. Köse, Q. A. Ahmed, and T. Jungeblut, “Edge4OD: An Automated Framework for Efficient Execution of Object Detection Algorithms on Edge Devices,” presented at the KI und ihre Anwendungen – Aktuelle Forschungsarbeiten des wissenschaftlichen Nachwuchses, Bielefeld, 2025.
HSBI-PUB | DOI
 
[57]
2025 | Konferenzbeitrag | FH-PUB-ID: 6204 | OA
H. Attaullah, M. Halbrügge, R. Naumann, and T. Jungeblut, “Digitaler Bahnhof Minden: Künstliche Intelligenz für den Bahnhof der Zukunft,” presented at the KI@HSBI 2025 - Zukunft im Fokus, Bielefeld, 2025, no. 2, pp. 4–5.
HSBI-PUB | DOI | Download (ext.)
 
[56]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6081
F. Jalil, J. Leuering, Q. A. Ahmed, W. Schenck, and T. Jungeblut, “AutoDSE: Towards HW/AI Co-design of Ultra-low Latency Hardware Accelerators for Industrial Applications,” in Workshop on AI and its Applications, Bielefeld, 2025.
HSBI-PUB | DOI
 
[55]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6077
J. Leuering, F. Jalil, Q. A. Ahmed, W. Schenck, and T. Jungeblut, “Cognitive Edge Computing for Multi-Sensor Applications with Sparse Data and High Latency Requirements,” presented at the KI und ihre Anwendungen – Aktuelle Forschungsarbeiten des wissenschaftlichen Nachwuchses, Bielefeld.
HSBI-PUB
 
[54]
2024 | Diskussionspapier | FH-PUB-ID: 5498
B. Hammer et al., Sustainable Life-Cycle of Intelligent Socio-Technical Systems. Bielefeld University, 2024.
HSBI-PUB | DOI
 
[53]
2024 | Konferenzbeitrag | FH-PUB-ID: 5061 | OA
Q. A. Ahmed et al., “RelaX: Reliability Assessment in Approximate Circuits,” presented at the The 9th Workshop on Approximate Computing, 2024 ACM/IEEE International Conference on Computer-Aided Design, New Jersey, USA, 2024.
HSBI-PUB | Download (ext.)
 
[52]
2024 | Konferenzbeitrag | FH-PUB-ID: 4782
S. Sanaullah, S. Koravuna, U. Rückert, and T. 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, Corfu, Greece, 2024, pp. 317–328.
HSBI-PUB | DOI
 
[51]
2024 | Konferenzbeitrag | FH-PUB-ID: 5367 | OA
S. Koravuna, S. Sanaullah, T. Jungeblut, and U. Rückert, “Spiking Neural Network Models Analysis on Field Programmable Gate Arrays,” in International Conference on Intelligent and Innovative Computing Applications, Pearle Beach Hotel & Spa, in the paradise island of Mauritius, 2024, vol. 2024, pp. 259–270.
HSBI-PUB | DOI | Download (ext.)
 
[50]
2024 | Konferenzbeitrag | FH-PUB-ID: 5336
H. Attaullah, A. Kiani, and T. 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), Islamabad, Pakistan, 2024, pp. 1–6.
HSBI-PUB | DOI
 
[49]
2024 | Konferenzbeitrag | FH-PUB-ID: 5315
H. Attaullah, S. Sanaullah, and T. 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), Budapest, Hungary, 2024, pp. 43–48.
HSBI-PUB | DOI
 
[48]
2024 | Konferenzbeitrag | FH-PUB-ID: 5098
S. Sanaullah, H. Attaullah, and T. 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, Atlanta GA USA, 2024, pp. 50–53.
HSBI-PUB | DOI
 
[47]
2024 | Konferenzbeitrag | FH-PUB-ID: 5097
S. Sanaullah, S. Koravuna, U. Rückert, and T. Jungeblut, “Advancements in Neural Network Generations,” in Proceedings of the sAIOnARA Conference, Bielefeld, 2024.
HSBI-PUB | DOI
 
[46]
2024 | Konferenzbeitrag | FH-PUB-ID: 5096
S. Sanaullah, H. Attaullah, and T. Jungeblut, “Trade-offs Between Privacy and Performance in Encrypted Dataset using Machine Learning Models,” in Proceedings of the sAIOnARA Conference, Bielefeld, 2024.
HSBI-PUB | DOI
 
[45]
2024 | Artikel | FH-PUB-ID: 4997 | OA
H. Attaullah, S. Sanaullah, and T. Jungeblut, “Analyzing Machine Learning Models for Activity Recognition Using Homomorphically Encrypted Real-World Smart Home Datasets: A Case Study,” Applied Sciences, vol. 14, no. 19, 2024.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[44]
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4883
S. Sanaullah, K. Roy, U. Ruckert, and T. Jungeblut, “Selection of Optimal Neural Model using Spiking Neural Network for Edge Computing  ,” in 2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS), Jersey City, NJ, USA, 2024, pp. 1452–1453.
HSBI-PUB | DOI | Inspire
 
[43]
2024 | Konferenzbeitrag | FH-PUB-ID: 4811
S. Sanaullah, H. Attaullah, and T. 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, Lund Sweden, 2024, pp. 8–10.
HSBI-PUB | DOI
 
[42]
2024 | Konferenzbeitrag | FH-PUB-ID: 4783 | OA
S. Sanaullah, K. Roy, U. Rückert, and T. Jungeblut, “A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models,” in Proceedings of the 5th Northern Lights Deep Learning Conference, UiT The Arctic University, Tromsø, Norway, 2024, vol. 233.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.) | WoS | arXiv
 
[41]
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4639 | OA
T. C. Herzig et al., “KI-gestütztes Monitoring zur Unterstützung in der häuslichen Pflege (KIMUP) ,” in Kongress KI@HSBI2023 Solutions im Fokus - Posterbeiträge , Bielefeld, 2024, vol. 1, pp. 9–10.
HSBI-PUB | DOI | Download (ext.)
 
[40]
2023 | Buchbeitrag | FH-PUB-ID: 3222
S. Sanaullah, S. Koravuna, U. Rückert, and T. 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, L. Iliadis, I. Maglogiannis, S. Alonso, C. Jayne, and E. Pimenidis, Eds. Cham: Springer Nature Switzerland, 2023, pp. 191–202.
HSBI-PUB | DOI
 
[39]
2023 | Artikel | FH-PUB-ID: 3482 | OA
S. Sanaullah, S. Koravuna, U. Rückert, and T. Jungeblut, “Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim,” International Journal of Neural Systems, 2023.
HSBI-PUB | DOI | Download (ext.)
 
[38]
2023 | Artikel | FH-PUB-ID: 3572 | OA
S. Sanaullah, S. Koravuna, U. Rückert, and T. Jungeblut, “Exploring spiking neural networks: a comprehensive analysis of mathematical models and applications,” Frontiers in Computational Neuroscience, vol. 17, 2023.
HSBI-PUB | DOI | Download (ext.)
 
[37]
2023 | Artikel | FH-PUB-ID: 3666
S. Koravuna, U. Rückert, and T. Jungeblut, “Evaluating Spiking Neural Network Models: A Comparative Performance Analysis,” Preprint, 2023.
HSBI-PUB | DOI
 
[36]
2023 | Artikel | FH-PUB-ID: 3665 | OA
S. Sanaullah, S. Koravuna, U. Ruckert, and T. Jungeblut, “Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures,” Preprint, 2023.
HSBI-PUB | DOI | Download (ext.)
 
[35]
2023 | Konferenzbeitrag | FH-PUB-ID: 3644 | OA
S. Sanaullah, S. Koravuna, U. Rückert, and T. Jungeblut, “Transforming Event-Based into Spike-Rate Datasets for Enhancing Neuronal Behavior Simulation to Bridging the Gap for SNNs,” presented at the International Conference on Computer Vision (ICCV) 2023, Paris France, 2023.
HSBI-PUB | DOI | Download (ext.)
 
[34]
2023 | Konferenzbeitrag | FH-PUB-ID: 4207 | OA
S. Sanaullah and T. Jungeblut, “Analysis of MR Images for Early and Accurate Detection of Brain Tumor using Resource Efficient Simulator Brain Analysis,” presented at the 19th International Conference on Machine Learning and Data Mining MLDM, New York USA, 2023.
HSBI-PUB | DOI | Download (ext.)
 
[33]
2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 4206 | OA
S. Sanaullah, A. Amanullah, K. Roy, J.-A. Lee, S. Chul-Jun, and T. Jungeblut, “A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting,” presented at the International Conference on Computer Vision (ICCV) 2023, Paris France, 2023.
HSBI-PUB | DOI | Download (ext.)
 
[32]
2023 | Konferenzbeitrag | FH-PUB-ID: 4205 | OA
S. Sanaullah, S. Koravuna, U. Rückert, and T. Jungeblut, “A Novel Spike Vision Approach for Robust Multi-Object Detection using SNNs,” presented at the Conference: Novel Trends in Data Science 2023, Congressi Stefano Franscini at Monte Verità in Ticino, Switzerland, 2023.
HSBI-PUB | DOI | Download (ext.)
 
[31]
2023 | Konferenzbeitrag | FH-PUB-ID: 4208
S. Koravuna, S. Sanaullah, T. Jungeblut, and U. 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, 2023, pp. 406–417.
HSBI-PUB | DOI
 
[30]
2022 | Konferenzbeitrag | FH-PUB-ID: 2757
S. Sanaullah, S. Koravuna, T. Jungeblut, and U. Rückert, “NireHApS: Neuro-Inspired and Resource-Efficient Hardware-Architectures for Plastic SNNs,” presented at the DataNinja – Networking Event, Bielefeld, 2022.
HSBI-PUB | DOI
 
[29]
2022 | Artikel | FH-PUB-ID: 4482 | OA
J. Baudisch, B. Richter, and T. Jungeblut, “A Framework for Learning Event Sequences and Explaining Detected Anomalies in a Smart Home Environment,” KI - Künstliche Intelligenz, vol. 36, no. 3–4, pp. 259–266, 2022.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[28]
2022 | Kurzbeitrag Konferenz | FH-PUB-ID: 2753
S. Sanaullah, S. Koravuna, U. Rückert, and T. Jungeblut, “Real-Time Resource Efficient Simulator for SNNs-based Model Experimentation.” Bielefeld University, Germany , 2022.
HSBI-PUB | DOI
 
[27]
2022 | Konferenzbeitrag | FH-PUB-ID: 3480 | OA
S. Sanaullah, S. Koravuna, U. Ruckert, and T. Jungeblut, “Real-Time SNNs Model Analyzing and Visualizing Experimentation,” 2022.
HSBI-PUB | DOI | Download (ext.)
 
[26]
2022 | Konferenzbeitrag | FH-PUB-ID: 2276
S. Sanaullah, S. Koravuna, U. Rückert, and T. 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, Greta, 2022, pp. 40–51.
HSBI-PUB | DOI
 
[25]
2019 | Konferenzbeitrag | FH-PUB-ID: 4483
M. Adams et al., “Towards an SSVEP-BCI Controlled Smart Home,” in 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), Bari, Italy, 2019, pp. 2737–2742.
HSBI-PUB | DOI
 
[24]
2018 | Artikel | FH-PUB-ID: 4486
J. Ax et al., “CoreVA-MPSoC: A Many-Core Architecture with Tightly Coupled Shared and Local Data Memories,” IEEE Transactions on Parallel and Distributed Systems, vol. 29, no. 5, pp. 1030–1043, 2018.
HSBI-PUB | DOI
 
[23]
2018 | Konferenzbeitrag | FH-PUB-ID: 4485
N. Gayen et al., “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), Cambridge, 2018, pp. 348–352.
HSBI-PUB | DOI
 
[22]
2018 | Konferenzbeitrag | FH-PUB-ID: 4487
A. Cristal et al., “LEGaTO,” in Proceedings of the 15th ACM International Conference on Computing Frontiers, Ischia Italy, 2018, pp. 276–278.
HSBI-PUB | DOI
 
[21]
2018 | Konferenzbeitrag | FH-PUB-ID: 4484
A. Cristal et al., “LEGaTO,” in Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, Pythagorion Greece, 2018, pp. 210–217.
HSBI-PUB | DOI
 
[20]
2017 | Buchbeitrag | FH-PUB-ID: 4490
G. Sievers et al., “The CoreVA-MPSoC: A Multiprocessor Platform for Software-Defined Radio,” in Computing Platforms for Software-Defined Radio, W. Hussain, J. Nurmi, J. Isoaho, and F. Garzia, Eds. Cham: Springer International Publishing, 2017, pp. 29–59.
HSBI-PUB | DOI
 
[19]
2017 | Konferenzbeitrag | FH-PUB-ID: 4489
M. Hesse et al., “A connected chair as part of a smart home environment,” in 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN), Eindhoven, 2017, pp. 47–50.
HSBI-PUB | DOI
 
[18]
2017 | Konferenzbeitrag | FH-PUB-ID: 4488
M. Vohrmann, P. Geisler, T. Jungeblut, and U. 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), Catania, 2017, pp. 1–4.
HSBI-PUB | DOI
 
[17]
2016 | Konferenzbeitrag | FH-PUB-ID: 4491
M. Flasskamp et al., “Performance estimation of streaming applications for hierarchical MPSoCs,” in Proceedings of the 2016 Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools, Prague Czech Republic, 2016, pp. 1–6.
HSBI-PUB | DOI
 
[16]
2015 | Konferenzbeitrag | FH-PUB-ID: 4496
J. Ax, G. Sievers, M. Flasskamp, W. Kelly, T. Jungeblut, and M. Porrmann, “System-Level Analysis of Network Interfaces for Hierarchical MPSoCs,” in Proceedings of the 8th International Workshop on Network on Chip Architectures, Waikiki HI USA, 2015, pp. 3–8.
HSBI-PUB | DOI
 
[15]
2015 | Konferenzbeitrag | FH-PUB-ID: 4494
G. Sievers et al., “Evaluation of interconnect fabrics for an embedded MPSoC in 28 nm FD-SOI,” in 2015 IEEE International Symposium on Circuits and Systems (ISCAS), Lisbon, Portugal, 2015, pp. 1925–1928.
HSBI-PUB | DOI
 
[14]
2015 | Konferenzbeitrag | FH-PUB-ID: 4493
G. Sievers et al., “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, Turin, Italy, 2015, pp. 175–181.
HSBI-PUB | DOI
 
[13]
2015 | Konferenzbeitrag | FH-PUB-ID: 4492
M. Vohrmann, S. Chatterjee, S. Lutkemeier, T. Jungeblut, M. Porrmann, and U. Rückert, “A 65 nm standard cell library for ultra low-power applications,” in 2015 European Conference on Circuit Theory and Design (ECCTD), Trondheim, Norway, 2015, pp. 1–4.
HSBI-PUB | DOI
 
[12]
2014 | Konferenzbeitrag | FH-PUB-ID: 4498
B. Hübener, G. Sievers, T. Jungeblut, M. Porrmann, and U. Rückert, “CoreVA: A Configurable Resource-Efficient VLIW Processor Architecture,” in 2014 12th IEEE International Conference on Embedded and Ubiquitous Computing, Milano, Italy, 2014, pp. 9–16.
HSBI-PUB | DOI
 
[11]
2014 | Konferenzbeitrag | FH-PUB-ID: 4497
W. Kelly et al., “A communication model and partitioning algorithm for streaming applications for an embedded MPSoC,” in 2014 International Symposium on System-on-Chip (SoC), Tampere, Finland, 2014, pp. 1–6.
HSBI-PUB | DOI
 
[10]
2014 | Konferenzbeitrag | FH-PUB-ID: 4495
L. Keuck et al., “Neuro control of a PFC rectifier for harmonic reduction at partial loads,” in 2014 International Conference on Advances in Green Energy (ICAGE), Thiruvananthapuram, India, 2014, pp. 94–99.
HSBI-PUB | DOI
 
[9]
2013 | Konferenzbeitrag | FH-PUB-ID: 4502
P. Christ, G. Sievers, J. Einhaus, T. Jungeblut, M. Porrmann, and U. Rückert, “Pareto-optimal signal processing on low-power microprocessors,” in 2013 IEEE SENSORS, Baltimore, MD, USA, 2013, pp. 1–4.
HSBI-PUB | DOI
 
[8]
2013 | Konferenzbeitrag | FH-PUB-ID: 4501
G. Sievers, P. Christ, J. Einhaus, T. Jungeblut, M. Porrmann, and U. Rückert, “Design-space exploration of the configurable 32 bit VLIW processor CoreVA for signal processing applications,” in 2013 NORCHIP, Vilnius, Lithuania, 2013, pp. 1–4.
HSBI-PUB | DOI
 
[7]
2013 | Artikel | FH-PUB-ID: 4500
T. Jungeblut, B. Hübener, M. Porrmann, and U. Rückert, “A systematic approach for optimized bypass configurations for application-specific embedded processors,” ACM Transactions on Embedded Computing Systems, vol. 13, no. 2, pp. 1–25, 2013.
HSBI-PUB | DOI
 
[6]
2013 | Artikel | FH-PUB-ID: 4499
S. Lütkemeier, T. Jungeblut, H. K. O. Berge, S. Aunet, M. Porrmann, and U. Rückert, “A 65 nm 32 b Subthreshold Processor With 9T Multi-Vt SRAM and Adaptive Supply Voltage Control,” IEEE Journal of Solid-State Circuits, vol. 48, no. 1, pp. 8–19, 2013.
HSBI-PUB | DOI
 
[5]
2012 | Konferenzbeitrag | FH-PUB-ID: 4504
T. Jungeblut, J. Ax, M. Porrmann, and U. Rückert, “A TCMS-based architecture for GALS NoCs,” in 2012 IEEE International Symposium on Circuits and Systems, Seoul, Korea (South), 2012, pp. 2721–2724.
HSBI-PUB | DOI
 
[4]
2012 | Konferenzbeitrag | FH-PUB-ID: 4503
S. Luetkemeier, T. Jungeblut, M. Porrmann, and U. Rückert, “A 200mV 32b subthreshold processor with adaptive supply voltage control,” in 2012 IEEE International Solid-State Circuits Conference, San Francisco, CA, USA, 2012, pp. 484–486.
HSBI-PUB | DOI
 
[3]
2010 | Artikel | FH-PUB-ID: 4506
T. Jungeblut et al., “Resource efficiency of hardware extensions of a 4-issue VLIW processor for elliptic curve cryptography,” Advances in Radio Science, vol. 8, pp. 295–305, 2010.
HSBI-PUB | DOI
 
[2]
2010 | Konferenzbeitrag | FH-PUB-ID: 4505
T. Jungeblut, G. Sievers, M. Porrmann, and U. Rückert, “Design Space Exploration for Memory Subsystems of VLIW Architectures,” in 2010 IEEE Fifth International Conference on Networking, Architecture, and Storage, Macau, China, 2010, pp. 377–385.
HSBI-PUB | DOI
 
[1]
2008 | Artikel | FH-PUB-ID: 4507
T. Jungeblut, M. Grünewald, M. Porrmann, and U. Rückert, “Realtime multiprocessor for mobile ad hoc networks,” Advances in Radio Science, vol. 6, pp. 239–243, 2008.
HSBI-PUB | DOI
 
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74 Publikationen

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[74]
2025 | Konferenzbeitrag | FH-PUB-ID: 6205
J. Kwossek et al., “Autonomous District Shuttles for Last-Mile Delivery: Acceptance, Public Requirements, and Their Role in Urban Development,” in HUMANIST Conference 2025, 2025.
HSBI-PUB
 
[73]
2025 | Konferenzbeitrag | FH-PUB-ID: 6203 | OA
A. Kaan et al., “AQ-Shuttle: Eine Studie über autonome Quartiers-Shuttle mit Mobilstation in Bielefeld,” presented at the KI@HSBI 2025 - Zukunft im Fokus, Bielefeld, 2025, no. 2, pp. 2–3.
HSBI-PUB | DOI | Download (ext.)
 
[72]
2025 | Konferenzbeitrag | FH-PUB-ID: 6206 | OA
J. Kwossek et al., “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.)
 
[71]
2025 | Konferenzbeitrag | FH-PUB-ID: 6202 | OA
M. Halbrügge and T. Jungeblut, “Statistical Learning of Daily Routines in the Smart Home for Privacy-Preserving Assisted Living,” in KI@HSBI 2025 - Zukunft im Fokus, Bielefeld, 2025, no. 2, pp. 13–14.
HSBI-PUB | DOI | Download (ext.)
 
[70]
2025 | Artikel | FH-PUB-ID: 6240 | OA
I. Jagemann, J. Baudisch, T. Jungeblut, G. W. Maier, and G. 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.
HSBI-PUB | DOI | Download (ext.)
 
[69]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6175
M. Halbrügge and T. Jungeblut, “Beyond Heatmaps: Evaluating LIME Visualizations for Human Understandability,” in KogWis 2025. 16th Biannual Conference of the German Cognitive Science Society., Bochum, 2025.
HSBI-PUB
 
[68]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6082
S. Wermuth, Q. A. Ahmed, and T. Jungeblut, “From Fisheye to Fusion: Towards Efficient AI-based Indoor Perception for Public Transportation,” in Workshop on AI and its Applications, Bielefeld, 2025.
HSBI-PUB
 
[67]
2025 | Artikel | FH-PUB-ID: 5366
S. Sanaullah, A. Schneider, J. Waßmuth, U. Rückert, and T. Jungeblut, “RAVSim v2.0: Enhanced visualization and comparative analysis for neural network models,” SoftwareX, vol. 29, 2025.
HSBI-PUB | DOI
 
[66]
2025 | Konferenzbeitrag | FH-PUB-ID: 6302 | OA
S. Wermuth and T. Jungeblut, “Bridging the Dataset Gap: Domain Adaptation for Fisheye Passenger Detection,” in KI2025@HSBI Zukunft im Fokus, 2025, no. 2, pp. 28–29.
HSBI-PUB | DOI | Download (ext.)
 
[65]
2025 | Konferenzbeitrag | FH-PUB-ID: 5976
S. Sanaullah, H. Honda, K. Roy, A. Schneider, J. Waßmuth, and T. Jungeblut, “Automating Neural Model Selection in Spiking Neural Networks Using AutoML Techniques*,” in 2025 22nd International Learning and Technology Conference (L&T), Jeddah, Saudi Arabia, 2025, pp. 274–279.
HSBI-PUB | DOI
 
[64]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6365
M. I. Köse, Q. A. Ahmed, and T. 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, San Diego, CA, USA., 2025.
HSBI-PUB | Download (ext.)
 
[63]
2025 | Konferenzbeitrag | FH-PUB-ID: 6355
H. Attaullah, C. Peters, A. Peters, and T. Jungeblut, “AI Meets Elderly Care: Mining Smart Home Data for Dementia and Depression Detection,” vol. 2. Bielefeld, pp. 38–39, 2025.
HSBI-PUB | Dateien verfügbar | DOI
 
[62]
2025 | Artikel | FH-PUB-ID: 6139
H. Attaullah, S. Sanaullah, A. Peters, Q. A. Ahmed, J. Baudisch, and T. Jungeblut, “DNA: detecting early signs of neurodegenerative diseases through activity and sleep analysis,” Frontiers in Neuroscience, vol. 19, 2025.
HSBI-PUB | DOI
 
[61]
2025 | Konferenzbeitrag | FH-PUB-ID: 6073 | OA
F. Jalil, M. Awais, Q. A. Ahmed, H. G. Mohammadi, T. Jungeblut, and M. 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), Naples, Italy , 2025, pp. 115–118.
HSBI-PUB | DOI | Download (ext.)
 
[60]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6080
F. Jalil, J. Leuering, Q. A. Ahmed, W. Schenck, and T. Jungeblut, “NNXC: Neural Network Meets Approximate Computing,” presented at the KI und ihre Anwendungen – Aktuelle Forschungsarbeiten des wissenschaftlichen Nachwuchses, Bielefeld, 2025.
HSBI-PUB
 
[59]
2025 | Konferenzbeitrag | FH-PUB-ID: 6140
Q. A. Ahmed et al., “MALRIS: Malicious Hardware in RIS-Assisted Wireless Communications,” presented at the IEEE CSCN 2025, Bologna Italy, 2025.
HSBI-PUB | DOI
 
[58]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6083
M. I. Köse, Q. A. Ahmed, and T. Jungeblut, “Edge4OD: An Automated Framework for Efficient Execution of Object Detection Algorithms on Edge Devices,” presented at the KI und ihre Anwendungen – Aktuelle Forschungsarbeiten des wissenschaftlichen Nachwuchses, Bielefeld, 2025.
HSBI-PUB | DOI
 
[57]
2025 | Konferenzbeitrag | FH-PUB-ID: 6204 | OA
H. Attaullah, M. Halbrügge, R. Naumann, and T. Jungeblut, “Digitaler Bahnhof Minden: Künstliche Intelligenz für den Bahnhof der Zukunft,” presented at the KI@HSBI 2025 - Zukunft im Fokus, Bielefeld, 2025, no. 2, pp. 4–5.
HSBI-PUB | DOI | Download (ext.)
 
[56]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6081
F. Jalil, J. Leuering, Q. A. Ahmed, W. Schenck, and T. Jungeblut, “AutoDSE: Towards HW/AI Co-design of Ultra-low Latency Hardware Accelerators for Industrial Applications,” in Workshop on AI and its Applications, Bielefeld, 2025.
HSBI-PUB | DOI
 
[55]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6077
J. Leuering, F. Jalil, Q. A. Ahmed, W. Schenck, and T. Jungeblut, “Cognitive Edge Computing for Multi-Sensor Applications with Sparse Data and High Latency Requirements,” presented at the KI und ihre Anwendungen – Aktuelle Forschungsarbeiten des wissenschaftlichen Nachwuchses, Bielefeld.
HSBI-PUB
 
[54]
2024 | Diskussionspapier | FH-PUB-ID: 5498
B. Hammer et al., Sustainable Life-Cycle of Intelligent Socio-Technical Systems. Bielefeld University, 2024.
HSBI-PUB | DOI
 
[53]
2024 | Konferenzbeitrag | FH-PUB-ID: 5061 | OA
Q. A. Ahmed et al., “RelaX: Reliability Assessment in Approximate Circuits,” presented at the The 9th Workshop on Approximate Computing, 2024 ACM/IEEE International Conference on Computer-Aided Design, New Jersey, USA, 2024.
HSBI-PUB | Download (ext.)
 
[52]
2024 | Konferenzbeitrag | FH-PUB-ID: 4782
S. Sanaullah, S. Koravuna, U. Rückert, and T. 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, Corfu, Greece, 2024, pp. 317–328.
HSBI-PUB | DOI
 
[51]
2024 | Konferenzbeitrag | FH-PUB-ID: 5367 | OA
S. Koravuna, S. Sanaullah, T. Jungeblut, and U. Rückert, “Spiking Neural Network Models Analysis on Field Programmable Gate Arrays,” in International Conference on Intelligent and Innovative Computing Applications, Pearle Beach Hotel & Spa, in the paradise island of Mauritius, 2024, vol. 2024, pp. 259–270.
HSBI-PUB | DOI | Download (ext.)
 
[50]
2024 | Konferenzbeitrag | FH-PUB-ID: 5336
H. Attaullah, A. Kiani, and T. 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), Islamabad, Pakistan, 2024, pp. 1–6.
HSBI-PUB | DOI
 
[49]
2024 | Konferenzbeitrag | FH-PUB-ID: 5315
H. Attaullah, S. Sanaullah, and T. 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), Budapest, Hungary, 2024, pp. 43–48.
HSBI-PUB | DOI
 
[48]
2024 | Konferenzbeitrag | FH-PUB-ID: 5098
S. Sanaullah, H. Attaullah, and T. 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, Atlanta GA USA, 2024, pp. 50–53.
HSBI-PUB | DOI
 
[47]
2024 | Konferenzbeitrag | FH-PUB-ID: 5097
S. Sanaullah, S. Koravuna, U. Rückert, and T. Jungeblut, “Advancements in Neural Network Generations,” in Proceedings of the sAIOnARA Conference, Bielefeld, 2024.
HSBI-PUB | DOI
 
[46]
2024 | Konferenzbeitrag | FH-PUB-ID: 5096
S. Sanaullah, H. Attaullah, and T. Jungeblut, “Trade-offs Between Privacy and Performance in Encrypted Dataset using Machine Learning Models,” in Proceedings of the sAIOnARA Conference, Bielefeld, 2024.
HSBI-PUB | DOI
 
[45]
2024 | Artikel | FH-PUB-ID: 4997 | OA
H. Attaullah, S. Sanaullah, and T. Jungeblut, “Analyzing Machine Learning Models for Activity Recognition Using Homomorphically Encrypted Real-World Smart Home Datasets: A Case Study,” Applied Sciences, vol. 14, no. 19, 2024.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[44]
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4883
S. Sanaullah, K. Roy, U. Ruckert, and T. Jungeblut, “Selection of Optimal Neural Model using Spiking Neural Network for Edge Computing  ,” in 2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS), Jersey City, NJ, USA, 2024, pp. 1452–1453.
HSBI-PUB | DOI | Inspire
 
[43]
2024 | Konferenzbeitrag | FH-PUB-ID: 4811
S. Sanaullah, H. Attaullah, and T. 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, Lund Sweden, 2024, pp. 8–10.
HSBI-PUB | DOI
 
[42]
2024 | Konferenzbeitrag | FH-PUB-ID: 4783 | OA
S. Sanaullah, K. Roy, U. Rückert, and T. Jungeblut, “A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models,” in Proceedings of the 5th Northern Lights Deep Learning Conference, UiT The Arctic University, Tromsø, Norway, 2024, vol. 233.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.) | WoS | arXiv
 
[41]
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4639 | OA
T. C. Herzig et al., “KI-gestütztes Monitoring zur Unterstützung in der häuslichen Pflege (KIMUP) ,” in Kongress KI@HSBI2023 Solutions im Fokus - Posterbeiträge , Bielefeld, 2024, vol. 1, pp. 9–10.
HSBI-PUB | DOI | Download (ext.)
 
[40]
2023 | Buchbeitrag | FH-PUB-ID: 3222
S. Sanaullah, S. Koravuna, U. Rückert, and T. 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, L. Iliadis, I. Maglogiannis, S. Alonso, C. Jayne, and E. Pimenidis, Eds. Cham: Springer Nature Switzerland, 2023, pp. 191–202.
HSBI-PUB | DOI
 
[39]
2023 | Artikel | FH-PUB-ID: 3482 | OA
S. Sanaullah, S. Koravuna, U. Rückert, and T. Jungeblut, “Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim,” International Journal of Neural Systems, 2023.
HSBI-PUB | DOI | Download (ext.)
 
[38]
2023 | Artikel | FH-PUB-ID: 3572 | OA
S. Sanaullah, S. Koravuna, U. Rückert, and T. Jungeblut, “Exploring spiking neural networks: a comprehensive analysis of mathematical models and applications,” Frontiers in Computational Neuroscience, vol. 17, 2023.
HSBI-PUB | DOI | Download (ext.)
 
[37]
2023 | Artikel | FH-PUB-ID: 3666
S. Koravuna, U. Rückert, and T. Jungeblut, “Evaluating Spiking Neural Network Models: A Comparative Performance Analysis,” Preprint, 2023.
HSBI-PUB | DOI
 
[36]
2023 | Artikel | FH-PUB-ID: 3665 | OA
S. Sanaullah, S. Koravuna, U. Ruckert, and T. Jungeblut, “Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures,” Preprint, 2023.
HSBI-PUB | DOI | Download (ext.)
 
[35]
2023 | Konferenzbeitrag | FH-PUB-ID: 3644 | OA
S. Sanaullah, S. Koravuna, U. Rückert, and T. Jungeblut, “Transforming Event-Based into Spike-Rate Datasets for Enhancing Neuronal Behavior Simulation to Bridging the Gap for SNNs,” presented at the International Conference on Computer Vision (ICCV) 2023, Paris France, 2023.
HSBI-PUB | DOI | Download (ext.)
 
[34]
2023 | Konferenzbeitrag | FH-PUB-ID: 4207 | OA
S. Sanaullah and T. Jungeblut, “Analysis of MR Images for Early and Accurate Detection of Brain Tumor using Resource Efficient Simulator Brain Analysis,” presented at the 19th International Conference on Machine Learning and Data Mining MLDM, New York USA, 2023.
HSBI-PUB | DOI | Download (ext.)
 
[33]
2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 4206 | OA
S. Sanaullah, A. Amanullah, K. Roy, J.-A. Lee, S. Chul-Jun, and T. Jungeblut, “A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting,” presented at the International Conference on Computer Vision (ICCV) 2023, Paris France, 2023.
HSBI-PUB | DOI | Download (ext.)
 
[32]
2023 | Konferenzbeitrag | FH-PUB-ID: 4205 | OA
S. Sanaullah, S. Koravuna, U. Rückert, and T. Jungeblut, “A Novel Spike Vision Approach for Robust Multi-Object Detection using SNNs,” presented at the Conference: Novel Trends in Data Science 2023, Congressi Stefano Franscini at Monte Verità in Ticino, Switzerland, 2023.
HSBI-PUB | DOI | Download (ext.)
 
[31]
2023 | Konferenzbeitrag | FH-PUB-ID: 4208
S. Koravuna, S. Sanaullah, T. Jungeblut, and U. 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, 2023, pp. 406–417.
HSBI-PUB | DOI
 
[30]
2022 | Konferenzbeitrag | FH-PUB-ID: 2757
S. Sanaullah, S. Koravuna, T. Jungeblut, and U. Rückert, “NireHApS: Neuro-Inspired and Resource-Efficient Hardware-Architectures for Plastic SNNs,” presented at the DataNinja – Networking Event, Bielefeld, 2022.
HSBI-PUB | DOI
 
[29]
2022 | Artikel | FH-PUB-ID: 4482 | OA
J. Baudisch, B. Richter, and T. Jungeblut, “A Framework for Learning Event Sequences and Explaining Detected Anomalies in a Smart Home Environment,” KI - Künstliche Intelligenz, vol. 36, no. 3–4, pp. 259–266, 2022.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[28]
2022 | Kurzbeitrag Konferenz | FH-PUB-ID: 2753
S. Sanaullah, S. Koravuna, U. Rückert, and T. Jungeblut, “Real-Time Resource Efficient Simulator for SNNs-based Model Experimentation.” Bielefeld University, Germany , 2022.
HSBI-PUB | DOI
 
[27]
2022 | Konferenzbeitrag | FH-PUB-ID: 3480 | OA
S. Sanaullah, S. Koravuna, U. Ruckert, and T. Jungeblut, “Real-Time SNNs Model Analyzing and Visualizing Experimentation,” 2022.
HSBI-PUB | DOI | Download (ext.)
 
[26]
2022 | Konferenzbeitrag | FH-PUB-ID: 2276
S. Sanaullah, S. Koravuna, U. Rückert, and T. 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, Greta, 2022, pp. 40–51.
HSBI-PUB | DOI
 
[25]
2019 | Konferenzbeitrag | FH-PUB-ID: 4483
M. Adams et al., “Towards an SSVEP-BCI Controlled Smart Home,” in 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), Bari, Italy, 2019, pp. 2737–2742.
HSBI-PUB | DOI
 
[24]
2018 | Artikel | FH-PUB-ID: 4486
J. Ax et al., “CoreVA-MPSoC: A Many-Core Architecture with Tightly Coupled Shared and Local Data Memories,” IEEE Transactions on Parallel and Distributed Systems, vol. 29, no. 5, pp. 1030–1043, 2018.
HSBI-PUB | DOI
 
[23]
2018 | Konferenzbeitrag | FH-PUB-ID: 4485
N. Gayen et al., “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), Cambridge, 2018, pp. 348–352.
HSBI-PUB | DOI
 
[22]
2018 | Konferenzbeitrag | FH-PUB-ID: 4487
A. Cristal et al., “LEGaTO,” in Proceedings of the 15th ACM International Conference on Computing Frontiers, Ischia Italy, 2018, pp. 276–278.
HSBI-PUB | DOI
 
[21]
2018 | Konferenzbeitrag | FH-PUB-ID: 4484
A. Cristal et al., “LEGaTO,” in Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, Pythagorion Greece, 2018, pp. 210–217.
HSBI-PUB | DOI
 
[20]
2017 | Buchbeitrag | FH-PUB-ID: 4490
G. Sievers et al., “The CoreVA-MPSoC: A Multiprocessor Platform for Software-Defined Radio,” in Computing Platforms for Software-Defined Radio, W. Hussain, J. Nurmi, J. Isoaho, and F. Garzia, Eds. Cham: Springer International Publishing, 2017, pp. 29–59.
HSBI-PUB | DOI
 
[19]
2017 | Konferenzbeitrag | FH-PUB-ID: 4489
M. Hesse et al., “A connected chair as part of a smart home environment,” in 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN), Eindhoven, 2017, pp. 47–50.
HSBI-PUB | DOI
 
[18]
2017 | Konferenzbeitrag | FH-PUB-ID: 4488
M. Vohrmann, P. Geisler, T. Jungeblut, and U. 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), Catania, 2017, pp. 1–4.
HSBI-PUB | DOI
 
[17]
2016 | Konferenzbeitrag | FH-PUB-ID: 4491
M. Flasskamp et al., “Performance estimation of streaming applications for hierarchical MPSoCs,” in Proceedings of the 2016 Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools, Prague Czech Republic, 2016, pp. 1–6.
HSBI-PUB | DOI
 
[16]
2015 | Konferenzbeitrag | FH-PUB-ID: 4496
J. Ax, G. Sievers, M. Flasskamp, W. Kelly, T. Jungeblut, and M. Porrmann, “System-Level Analysis of Network Interfaces for Hierarchical MPSoCs,” in Proceedings of the 8th International Workshop on Network on Chip Architectures, Waikiki HI USA, 2015, pp. 3–8.
HSBI-PUB | DOI
 
[15]
2015 | Konferenzbeitrag | FH-PUB-ID: 4494
G. Sievers et al., “Evaluation of interconnect fabrics for an embedded MPSoC in 28 nm FD-SOI,” in 2015 IEEE International Symposium on Circuits and Systems (ISCAS), Lisbon, Portugal, 2015, pp. 1925–1928.
HSBI-PUB | DOI
 
[14]
2015 | Konferenzbeitrag | FH-PUB-ID: 4493
G. Sievers et al., “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, Turin, Italy, 2015, pp. 175–181.
HSBI-PUB | DOI
 
[13]
2015 | Konferenzbeitrag | FH-PUB-ID: 4492
M. Vohrmann, S. Chatterjee, S. Lutkemeier, T. Jungeblut, M. Porrmann, and U. Rückert, “A 65 nm standard cell library for ultra low-power applications,” in 2015 European Conference on Circuit Theory and Design (ECCTD), Trondheim, Norway, 2015, pp. 1–4.
HSBI-PUB | DOI
 
[12]
2014 | Konferenzbeitrag | FH-PUB-ID: 4498
B. Hübener, G. Sievers, T. Jungeblut, M. Porrmann, and U. Rückert, “CoreVA: A Configurable Resource-Efficient VLIW Processor Architecture,” in 2014 12th IEEE International Conference on Embedded and Ubiquitous Computing, Milano, Italy, 2014, pp. 9–16.
HSBI-PUB | DOI
 
[11]
2014 | Konferenzbeitrag | FH-PUB-ID: 4497
W. Kelly et al., “A communication model and partitioning algorithm for streaming applications for an embedded MPSoC,” in 2014 International Symposium on System-on-Chip (SoC), Tampere, Finland, 2014, pp. 1–6.
HSBI-PUB | DOI
 
[10]
2014 | Konferenzbeitrag | FH-PUB-ID: 4495
L. Keuck et al., “Neuro control of a PFC rectifier for harmonic reduction at partial loads,” in 2014 International Conference on Advances in Green Energy (ICAGE), Thiruvananthapuram, India, 2014, pp. 94–99.
HSBI-PUB | DOI
 
[9]
2013 | Konferenzbeitrag | FH-PUB-ID: 4502
P. Christ, G. Sievers, J. Einhaus, T. Jungeblut, M. Porrmann, and U. Rückert, “Pareto-optimal signal processing on low-power microprocessors,” in 2013 IEEE SENSORS, Baltimore, MD, USA, 2013, pp. 1–4.
HSBI-PUB | DOI
 
[8]
2013 | Konferenzbeitrag | FH-PUB-ID: 4501
G. Sievers, P. Christ, J. Einhaus, T. Jungeblut, M. Porrmann, and U. Rückert, “Design-space exploration of the configurable 32 bit VLIW processor CoreVA for signal processing applications,” in 2013 NORCHIP, Vilnius, Lithuania, 2013, pp. 1–4.
HSBI-PUB | DOI
 
[7]
2013 | Artikel | FH-PUB-ID: 4500
T. Jungeblut, B. Hübener, M. Porrmann, and U. Rückert, “A systematic approach for optimized bypass configurations for application-specific embedded processors,” ACM Transactions on Embedded Computing Systems, vol. 13, no. 2, pp. 1–25, 2013.
HSBI-PUB | DOI
 
[6]
2013 | Artikel | FH-PUB-ID: 4499
S. Lütkemeier, T. Jungeblut, H. K. O. Berge, S. Aunet, M. Porrmann, and U. Rückert, “A 65 nm 32 b Subthreshold Processor With 9T Multi-Vt SRAM and Adaptive Supply Voltage Control,” IEEE Journal of Solid-State Circuits, vol. 48, no. 1, pp. 8–19, 2013.
HSBI-PUB | DOI
 
[5]
2012 | Konferenzbeitrag | FH-PUB-ID: 4504
T. Jungeblut, J. Ax, M. Porrmann, and U. Rückert, “A TCMS-based architecture for GALS NoCs,” in 2012 IEEE International Symposium on Circuits and Systems, Seoul, Korea (South), 2012, pp. 2721–2724.
HSBI-PUB | DOI
 
[4]
2012 | Konferenzbeitrag | FH-PUB-ID: 4503
S. Luetkemeier, T. Jungeblut, M. Porrmann, and U. Rückert, “A 200mV 32b subthreshold processor with adaptive supply voltage control,” in 2012 IEEE International Solid-State Circuits Conference, San Francisco, CA, USA, 2012, pp. 484–486.
HSBI-PUB | DOI
 
[3]
2010 | Artikel | FH-PUB-ID: 4506
T. Jungeblut et al., “Resource efficiency of hardware extensions of a 4-issue VLIW processor for elliptic curve cryptography,” Advances in Radio Science, vol. 8, pp. 295–305, 2010.
HSBI-PUB | DOI
 
[2]
2010 | Konferenzbeitrag | FH-PUB-ID: 4505
T. Jungeblut, G. Sievers, M. Porrmann, and U. Rückert, “Design Space Exploration for Memory Subsystems of VLIW Architectures,” in 2010 IEEE Fifth International Conference on Networking, Architecture, and Storage, Macau, China, 2010, pp. 377–385.
HSBI-PUB | DOI
 
[1]
2008 | Artikel | FH-PUB-ID: 4507
T. Jungeblut, M. Grünewald, M. Porrmann, and U. Rückert, “Realtime multiprocessor for mobile ad hoc networks,” Advances in Radio Science, vol. 6, pp. 239–243, 2008.
HSBI-PUB | DOI
 
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