PUBLIKATIONSSERVER

Thorsten Jungeblut

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

50 Publikationen

Alle markieren

[50]
2024 | Konferenzbeitrag | FH-PUB-ID: 5098
Encryption Techniques for Privacy-Preserving CNN Models: Performance and Practicality in Urban AI Applications
S. Sanaullah, H. Attaullah, T. Jungeblut, in: O.A. Omitaomu, A. Mostafavi, S. Randhawa, H. Niu (Eds.), Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI, ACM, New York, NY, USA, 2024, pp. 50–53.
HSBI-PUB | DOI
 
[49]
2024 | Konferenzbeitrag | FH-PUB-ID: 5097
Advancements in Neural Network Generations
S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, in: U. Kuhl, DataNinja.nrw (Eds.), Proceedings of the SAIOnARA Conference, DataNinja sAIOnARA Conference, 2024.
HSBI-PUB | DOI
 
[48]
2024 | Konferenzbeitrag | FH-PUB-ID: 5096
Trade-offs Between Privacy and Performance in Encrypted Dataset using Machine Learning Models
S. Sanaullah, H. Attaullah, T. Jungeblut, in: U. Kuhl, DataNinja.nrw (Eds.), Proceedings of the SAIOnARA Conference, DataNinja sAIOnARA Conference, 2024.
HSBI-PUB | DOI
 
[47]
2024 | Konferenzbeitrag | FH-PUB-ID: 5061
RelaX: Reliability Assessment in Approximate Circuits
Q.A. Ahmed, S. Sadeghi-Kohan, M. Awais, M. Platzner, S. Hellebrand, T. Jungeblut, H.-J. Wunderlich, in: 2024.
HSBI-PUB
 
[46]
2024 | Artikel | FH-PUB-ID: 4997 | OA
Analyzing Machine Learning Models for Activity Recognition Using Homomorphically Encrypted Real-World Smart Home Datasets: A Case Study
H. Attaullah, S. Sanaullah, T. Jungeblut, Applied Sciences 14 (2024).
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[45]
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4883
Selection of Optimal Neural Model using Spiking Neural Network for Edge Computing
S. Sanaullah, K. Roy, U. Ruckert, T. Jungeblut, in: IEEE (Ed.), 2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS), IEEE, 2024, pp. 1452–1453.
HSBI-PUB | DOI | Inspire
 
[44]
2024 | Konferenzbeitrag | FH-PUB-ID: 4811
The Next-Gen Interactive Runtime Simulator for Neural Network Programming
S. Sanaullah, H. Attaullah, T. Jungeblut, in: E. Söderberg, L. Church (Eds.), Companion Proceedings of the 8th International Conference on the Art, Science, and Engineering of Programming, ACM, New York, NY, USA, 2024, pp. 8–10.
HSBI-PUB | DOI
 
[43]
2024 | Konferenzbeitrag | FH-PUB-ID: 4783 | OA
A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models
S. Sanaullah, K. Roy, U. Rückert, T. Jungeblut, in: T. Lutchyn, A. Ramírez Rivera, B. Ricaud (Eds.), Proceedings of the 5th Northern Lights Deep Learning Conference, Proceedings of Machine Learning Research (PMLR), UiT The Arctic University, Tromsø, Norway, 2024.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.) | WoS | arXiv
 
[42]
2024 | Konferenzbeitrag | FH-PUB-ID: 4782
A Spike Vision Approach for Multi-object Detection and Generating Dataset Using Multi-core Architecture on Edge Device
S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, in: L. Iliadis, I. Maglogiannis, A. Papaleonidas, E. Pimenidis, C. Jayne (Eds.), Engineering Applications of Neural Networks. 25th International Conference, EANN 2024, Corfu, Greece, June 27–30, 2024, Proceedings, Springer Nature Switzerland, Cham, 2024, pp. 317–328.
HSBI-PUB | DOI
 
[41]
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4639 | OA
KI-gestütztes Monitoring zur Unterstützung in der häuslichen Pflege (KIMUP)
T.C. Herzig, C. Marschner, S. Held, T. Jungeblut, J. Baudisch, C. Ostrau, M. Klemm, A. Uphaus, R. Amelung, A. Nauerth, in: Institute for Data Science Solutions (Ed.), Kongress KI@HSBI2023 Solutions im Fokus - Posterbeiträge , Hochschule Bielefeld, Bielefeld, 2024, pp. 9–10.
HSBI-PUB | DOI | Download (ext.)
 
[40]
2023 | Buchbeitrag | FH-PUB-ID: 3222
Streamlined Training of GCN for Node Classification with Automatic Loss Function and Optimizer Selection
S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, in: L. Iliadis, I. Maglogiannis, S. Alonso, C. Jayne, E. Pimenidis (Eds.), Engineering Applications of Neural Networks. 24th International Conference, EAAAI/EANN 2023, León, Spain, June 14–17, 2023, Proceedings, Springer Nature Switzerland, Cham, 2023, pp. 191–202.
HSBI-PUB | DOI
 
[39]
2023 | Artikel | FH-PUB-ID: 3482 | OA
Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim
S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, International Journal of Neural Systems (2023).
HSBI-PUB | DOI | Download (ext.)
 
[38]
2023 | Artikel | FH-PUB-ID: 3572 | OA
Exploring spiking neural networks: a comprehensive analysis of mathematical models and applications
S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, Frontiers in Computational Neuroscience 17 (2023).
HSBI-PUB | DOI | Download (ext.)
 
[37]
2023 | Artikel | FH-PUB-ID: 3666
Evaluating Spiking Neural Network Models: A Comparative Performance Analysis
S. Koravuna, U. Rückert, T. Jungeblut, Preprint (2023).
HSBI-PUB | DOI
 
[36]
2023 | Artikel | FH-PUB-ID: 3665 | OA
Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures
S. Sanaullah, S. Koravuna, U. Ruckert, T. Jungeblut, Preprint (2023).
HSBI-PUB | DOI | Download (ext.)
 
[35]
2023 | Konferenzbeitrag | FH-PUB-ID: 3644 | OA
Transforming Event-Based into Spike-Rate Datasets for Enhancing Neuronal Behavior Simulation to Bridging the Gap for SNNs
S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, in: Paris France , 2023.
HSBI-PUB | DOI | Download (ext.)
 
[34]
2023 | Konferenzbeitrag | FH-PUB-ID: 4207 | OA
Analysis of MR Images for Early and Accurate Detection of Brain Tumor using Resource Efficient Simulator Brain Analysis
S. Sanaullah, T. Jungeblut, in: New York USA, 2023.
HSBI-PUB | DOI | Download (ext.)
 
[33]
2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 4206 | OA
A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting
S. Sanaullah, A. Amanullah, K. Roy, J.-A. Lee, S. Chul-Jun, T. Jungeblut, in: 2023.
HSBI-PUB | DOI | Download (ext.)
 
[32]
2023 | Konferenzbeitrag | FH-PUB-ID: 4205 | OA
A Novel Spike Vision Approach for Robust Multi-Object Detection using SNNs
S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, in: 2023.
HSBI-PUB | DOI | Download (ext.)
 
[31]
2023 | Konferenzbeitrag | FH-PUB-ID: 4208
Digit Recognition Using Spiking Neural Networks on FPGA
S. Koravuna, S. Sanaullah, T. Jungeblut, U. Rückert, in: I. Rojas, G. Joya, A. Catala (Eds.), Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I, Springer Nature Switzerland, Cham, 2023, pp. 406–417.
HSBI-PUB | DOI
 
[30]
2022 | Konferenzbeitrag | FH-PUB-ID: 2757
NireHApS: Neuro-Inspired and Resource-Efficient Hardware-Architectures for Plastic SNNs
S. Sanaullah, S. Koravuna, T. Jungeblut, U. Rückert, in: 2022.
HSBI-PUB | DOI
 
[29]
2022 | Artikel | FH-PUB-ID: 4482 | OA
A Framework for Learning Event Sequences and Explaining Detected Anomalies in a Smart Home Environment
J. Baudisch, B. Richter, T. Jungeblut, KI - Künstliche Intelligenz 36 (2022) 259–266.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[28]
2022 | Kurzbeitrag Konferenz | FH-PUB-ID: 2753
Real-Time Resource Efficient Simulator for SNNs-based Model Experimentation
S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, (2022).
HSBI-PUB | DOI
 
[27]
2022 | Konferenzbeitrag | FH-PUB-ID: 3480 | OA
Real-Time SNNs Model Analyzing and Visualizing Experimentation
S. Sanaullah, S. Koravuna, U. Ruckert, T. Jungeblut, in: Unpublished, 2022.
HSBI-PUB | DOI | Download (ext.)
 
[26]
2022 | Konferenzbeitrag | FH-PUB-ID: 2276
SNNs Model Analyzing and Visualizing Experimentation Using RAVSim
S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, in: L. Iliadis, C. Jayne, A. Tefas, E. Pimenidis (Eds.), Engineering Applications of Neural Networks. 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings, Springer International Publishing, Cham, 2022, pp. 40–51.
HSBI-PUB | DOI
 
[25]
2019 | Konferenzbeitrag | FH-PUB-ID: 4483
Towards an SSVEP-BCI Controlled Smart Home
M. Adams, S. Ben-Salem, Z. Islam, A. Vogelsang, T. Jungeblut, U. Ruckert, I. Volosyak, M. Benda, A. Saboor, A.F. Krause, A. Rezeika, F. Gembler, P. Stawicki, M. Hesse, K. Essig, in: 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), IEEE, 2019, pp. 2737–2742.
HSBI-PUB | DOI
 
[24]
2018 | Artikel | FH-PUB-ID: 4486
CoreVA-MPSoC: A Many-Core Architecture with Tightly Coupled Shared and Local Data Memories
J. Ax, G. Sievers, J. Daberkow, M. Flasskamp, M. Vohrmann, T. Jungeblut, W. Kelly, M. Porrmann, U. Ruckert, IEEE Transactions on Parallel and Distributed Systems 29 (2018) 1030–1043.
HSBI-PUB | DOI
 
[23]
2018 | Konferenzbeitrag | FH-PUB-ID: 4485
Scalable Mapping of Streaming Applications onto MPSoCs Using Optimistic Mixed Integer Linear Programming
N. Gayen, J. Ax, M. Flasskamp, C. Klarhorst, T. Jungeblut, M. Tang, W. Kelly, in: 2018 26th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), IEEE, 2018, pp. 348–352.
HSBI-PUB | DOI
 
[22]
2018 | Konferenzbeitrag | FH-PUB-ID: 4487
LEGaTO
A. Cristal, O.S. Unsal, X. Martorell, P. Carpenter, R. De La Cruz, L. Bautista, D. Jimenez, C. Alvarez, B. Salami, S. Madonar, M. Pericàs, P. Trancoso, M. vor dem Berge, G. Billung-Meyer, S. Krupop, W. Christmann, F. Klawonn, A. Mihklafi, T. Becker, G. Gaydadjiev, H. Salomonsson, D. Dubhashi, O. Port, Y. Etsion, V. Nowack, C. Fetzer, J. Hagemeyer, T. Jungeblut, N. Kucza, M. Kaiser, M. Porrmann, M. Pasin, V. Schiavoni, I. Rocha, C. Göttel, P. Felber, D. Kaeli, M. Pericàs, in: Proceedings of the 15th ACM International Conference on Computing Frontiers, ACM, New York, NY, USA, 2018, pp. 276–278.
HSBI-PUB | DOI
 
[21]
2018 | Konferenzbeitrag | FH-PUB-ID: 4484
LEGaTO
A. Cristal, O.S. Unsal, X. Martorell, P. Carpenter, R. De La Cruz, L. Bautista, D. Jimenez, C. Alvarez, B. Salami, S. Madonar, M. Pericàs, P. Trancoso, M. vor dem Berge, G. Billung-Meyer, S. Krupop, W. Christmann, F. Klawonn, A. Mihklafi, T. Becker, G. Gaydadjiev, H. Salomonsson, D. Dubhashi, O. Port, E. Hadar, Y. Etsion, C. Fetzer, J. Hagemeyer, T. Jungeblut, N. Kucza, M. Kaiser, M. Porrmann, M. Pasin, V. Schiavoni, I. Rocha, C. Göttel, P. Felber, in: Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, ACM, New York, USA, 2018, pp. 210–217.
HSBI-PUB | DOI
 
[20]
2017 | Buchbeitrag | FH-PUB-ID: 4490
The CoreVA-MPSoC: A Multiprocessor Platform for Software-Defined Radio
G. Sievers, B. Hübener, J. Ax, M. Flasskamp, W. Kelly, T. Jungeblut, M. Porrmann, in: W. Hussain, J. Nurmi, J. Isoaho, F. Garzia (Eds.), Computing Platforms for Software-Defined Radio, Springer International Publishing, Cham, 2017, pp. 29–59.
HSBI-PUB | DOI
 
[19]
2017 | Konferenzbeitrag | FH-PUB-ID: 4489
A connected chair as part of a smart home environment
M. Hesse, A.F. Krause, L. Vogel, B. Chamadiya, M. Schilling, T. Schack, T. Jungeblut, in: 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN), IEEE, 2017, pp. 47–50.
HSBI-PUB | DOI
 
[18]
2017 | Konferenzbeitrag | FH-PUB-ID: 4488
Design-space exploration of ultra-low power CMOS logic gates in a 28 nm FD-SOI technology
M. Vohrmann, P. Geisler, T. Jungeblut, U. Ruckert, in: 2017 European Conference on Circuit Theory and Design (ECCTD), IEEE, 2017, pp. 1–4.
HSBI-PUB | DOI
 
[17]
2016 | Konferenzbeitrag | FH-PUB-ID: 4491
Performance estimation of streaming applications for hierarchical MPSoCs
M. Flasskamp, G. Sievers, J. Ax, C. Klarhorst, T. Jungeblut, W. Kelly, M. Thies, M. Porrmann, in: Proceedings of the 2016 Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools, ACM, New York, NY, USA, 2016, pp. 1–6.
HSBI-PUB | DOI
 
[16]
2015 | Konferenzbeitrag | FH-PUB-ID: 4496
System-Level Analysis of Network Interfaces for Hierarchical MPSoCs
J. Ax, G. Sievers, M. Flasskamp, W. Kelly, T. Jungeblut, M. Porrmann, in: Proceedings of the 8th International Workshop on Network on Chip Architectures, ACM, New York, NY, USA, 2015, pp. 3–8.
HSBI-PUB | DOI
 
[15]
2015 | Konferenzbeitrag | FH-PUB-ID: 4494
Evaluation of interconnect fabrics for an embedded MPSoC in 28 nm FD-SOI
G. Sievers, J. Ax, N. Kucza, M. Flaskamp, T. Jungeblut, W. Kelly, M. Porrmann, U. Rückert, in: 2015 IEEE International Symposium on Circuits and Systems (ISCAS), IEEE, 2015, pp. 1925–1928.
HSBI-PUB | DOI
 
[14]
2015 | Konferenzbeitrag | FH-PUB-ID: 4493
Comparison of Shared and Private L1 Data Memories for an Embedded MPSoC in 28nm FD-SOI
G. Sievers, J. Daberkow, J. Ax, M. Flasskamp, W. Kelly, T. Jungeblut, M. Porrmann, U. Rückert, in: 2015 IEEE 9th International Symposium on Embedded Multicore/Many-Core Systems-on-Chip, IEEE, 2015, pp. 175–181.
HSBI-PUB | DOI
 
[13]
2015 | Konferenzbeitrag | FH-PUB-ID: 4492
A 65 nm standard cell library for ultra low-power applications
M. Vohrmann, S. Chatterjee, S. Lutkemeier, T. Jungeblut, M. Porrmann, U. Rückert, in: 2015 European Conference on Circuit Theory and Design (ECCTD), IEEE, 2015, pp. 1–4.
HSBI-PUB | DOI
 
[12]
2014 | Konferenzbeitrag | FH-PUB-ID: 4498
CoreVA: A Configurable Resource-Efficient VLIW Processor Architecture
B. Hübener, G. Sievers, T. Jungeblut, M. Porrmann, U. Rückert, in: 2014 12th IEEE International Conference on Embedded and Ubiquitous Computing, IEEE, 2014, pp. 9–16.
HSBI-PUB | DOI
 
[11]
2014 | Konferenzbeitrag | FH-PUB-ID: 4497
A communication model and partitioning algorithm for streaming applications for an embedded MPSoC
W. Kelly, M. Flasskamp, G. Sievers, J. Ax, J. Chen, C. Klarhorst, C. Ragg, T. Jungeblut, A. Sorensen, in: 2014 International Symposium on System-on-Chip (SoC), IEEE, 2014, pp. 1–6.
HSBI-PUB | DOI
 
[10]
2014 | Konferenzbeitrag | FH-PUB-ID: 4495
Neuro control of a PFC rectifier for harmonic reduction at partial loads
L. Keuck, F. Hemmelgarn, N. Fröhleke, J. Böcker, M. Vohrmann, T. Jungeblut, U. Rückert, in: 2014 International Conference on Advances in Green Energy (ICAGE), IEEE, 2014, pp. 94–99.
HSBI-PUB | DOI
 
[9]
2013 | Konferenzbeitrag | FH-PUB-ID: 4502
Pareto-optimal signal processing on low-power microprocessors
P. Christ, G. Sievers, J. Einhaus, T. Jungeblut, M. Porrmann, U. Rückert, in: 2013 IEEE SENSORS, IEEE, 2013, pp. 1–4.
HSBI-PUB | DOI
 
[8]
2013 | Konferenzbeitrag | FH-PUB-ID: 4501
Design-space exploration of the configurable 32 bit VLIW processor CoreVA for signal processing applications
G. Sievers, P. Christ, J. Einhaus, T. Jungeblut, M. Porrmann, U. Rückert, in: 2013 NORCHIP, IEEE, 2013, pp. 1–4.
HSBI-PUB | DOI
 
[7]
2013 | Artikel | FH-PUB-ID: 4500
A systematic approach for optimized bypass configurations for application-specific embedded processors
T. Jungeblut, B. Hübener, M. Porrmann, U. Rückert, ACM Transactions on Embedded Computing Systems 13 (2013) 1–25.
HSBI-PUB | DOI
 
[6]
2013 | Artikel | FH-PUB-ID: 4499
A 65 nm 32 b Subthreshold Processor With 9T Multi-Vt SRAM and Adaptive Supply Voltage Control
S. Lütkemeier, T. Jungeblut, H.K.O. Berge, S. Aunet, M. Porrmann, U. Rückert, IEEE Journal of Solid-State Circuits 48 (2013) 8–19.
HSBI-PUB | DOI
 
[5]
2012 | Konferenzbeitrag | FH-PUB-ID: 4504
A TCMS-based architecture for GALS NoCs
T. Jungeblut, J. Ax, M. Porrmann, U. Rückert, in: 2012 IEEE International Symposium on Circuits and Systems, IEEE, 2012, pp. 2721–2724.
HSBI-PUB | DOI
 
[4]
2012 | Konferenzbeitrag | FH-PUB-ID: 4503
A 200mV 32b subthreshold processor with adaptive supply voltage control
S. Luetkemeier, T. Jungeblut, M. Porrmann, U. Rückert, in: 2012 IEEE International Solid-State Circuits Conference, IEEE, 2012, pp. 484–486.
HSBI-PUB | DOI
 
[3]
2010 | Artikel | FH-PUB-ID: 4506
Resource efficiency of hardware extensions of a 4-issue VLIW processor for elliptic curve cryptography
T. Jungeblut, C. Puttmann, R. Dreesen, M. Porrmann, M. Thies, U. Rückert, U. Kastens, Advances in Radio Science 8 (2010) 295–305.
HSBI-PUB | DOI
 
[2]
2010 | Konferenzbeitrag | FH-PUB-ID: 4505
Design Space Exploration for Memory Subsystems of VLIW Architectures
T. Jungeblut, G. Sievers, M. Porrmann, U. Rückert, in: 2010 IEEE Fifth International Conference on Networking, Architecture, and Storage, IEEE, 2010, pp. 377–385.
HSBI-PUB | DOI
 
[1]
2008 | Artikel | FH-PUB-ID: 4507
Realtime multiprocessor for mobile ad hoc networks
T. Jungeblut, M. Grünewald, M. Porrmann, U. Rückert, Advances in Radio Science 6 (2008) 239–243.
HSBI-PUB | DOI
 
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50 Publikationen

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[50]
2024 | Konferenzbeitrag | FH-PUB-ID: 5098
Encryption Techniques for Privacy-Preserving CNN Models: Performance and Practicality in Urban AI Applications
S. Sanaullah, H. Attaullah, T. Jungeblut, in: O.A. Omitaomu, A. Mostafavi, S. Randhawa, H. Niu (Eds.), Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI, ACM, New York, NY, USA, 2024, pp. 50–53.
HSBI-PUB | DOI
 
[49]
2024 | Konferenzbeitrag | FH-PUB-ID: 5097
Advancements in Neural Network Generations
S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, in: U. Kuhl, DataNinja.nrw (Eds.), Proceedings of the SAIOnARA Conference, DataNinja sAIOnARA Conference, 2024.
HSBI-PUB | DOI
 
[48]
2024 | Konferenzbeitrag | FH-PUB-ID: 5096
Trade-offs Between Privacy and Performance in Encrypted Dataset using Machine Learning Models
S. Sanaullah, H. Attaullah, T. Jungeblut, in: U. Kuhl, DataNinja.nrw (Eds.), Proceedings of the SAIOnARA Conference, DataNinja sAIOnARA Conference, 2024.
HSBI-PUB | DOI
 
[47]
2024 | Konferenzbeitrag | FH-PUB-ID: 5061
RelaX: Reliability Assessment in Approximate Circuits
Q.A. Ahmed, S. Sadeghi-Kohan, M. Awais, M. Platzner, S. Hellebrand, T. Jungeblut, H.-J. Wunderlich, in: 2024.
HSBI-PUB
 
[46]
2024 | Artikel | FH-PUB-ID: 4997 | OA
Analyzing Machine Learning Models for Activity Recognition Using Homomorphically Encrypted Real-World Smart Home Datasets: A Case Study
H. Attaullah, S. Sanaullah, T. Jungeblut, Applied Sciences 14 (2024).
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[45]
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4883
Selection of Optimal Neural Model using Spiking Neural Network for Edge Computing
S. Sanaullah, K. Roy, U. Ruckert, T. Jungeblut, in: IEEE (Ed.), 2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS), IEEE, 2024, pp. 1452–1453.
HSBI-PUB | DOI | Inspire
 
[44]
2024 | Konferenzbeitrag | FH-PUB-ID: 4811
The Next-Gen Interactive Runtime Simulator for Neural Network Programming
S. Sanaullah, H. Attaullah, T. Jungeblut, in: E. Söderberg, L. Church (Eds.), Companion Proceedings of the 8th International Conference on the Art, Science, and Engineering of Programming, ACM, New York, NY, USA, 2024, pp. 8–10.
HSBI-PUB | DOI
 
[43]
2024 | Konferenzbeitrag | FH-PUB-ID: 4783 | OA
A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models
S. Sanaullah, K. Roy, U. Rückert, T. Jungeblut, in: T. Lutchyn, A. Ramírez Rivera, B. Ricaud (Eds.), Proceedings of the 5th Northern Lights Deep Learning Conference, Proceedings of Machine Learning Research (PMLR), UiT The Arctic University, Tromsø, Norway, 2024.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.) | WoS | arXiv
 
[42]
2024 | Konferenzbeitrag | FH-PUB-ID: 4782
A Spike Vision Approach for Multi-object Detection and Generating Dataset Using Multi-core Architecture on Edge Device
S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, in: L. Iliadis, I. Maglogiannis, A. Papaleonidas, E. Pimenidis, C. Jayne (Eds.), Engineering Applications of Neural Networks. 25th International Conference, EANN 2024, Corfu, Greece, June 27–30, 2024, Proceedings, Springer Nature Switzerland, Cham, 2024, pp. 317–328.
HSBI-PUB | DOI
 
[41]
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4639 | OA
KI-gestütztes Monitoring zur Unterstützung in der häuslichen Pflege (KIMUP)
T.C. Herzig, C. Marschner, S. Held, T. Jungeblut, J. Baudisch, C. Ostrau, M. Klemm, A. Uphaus, R. Amelung, A. Nauerth, in: Institute for Data Science Solutions (Ed.), Kongress KI@HSBI2023 Solutions im Fokus - Posterbeiträge , Hochschule Bielefeld, Bielefeld, 2024, pp. 9–10.
HSBI-PUB | DOI | Download (ext.)
 
[40]
2023 | Buchbeitrag | FH-PUB-ID: 3222
Streamlined Training of GCN for Node Classification with Automatic Loss Function and Optimizer Selection
S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, in: L. Iliadis, I. Maglogiannis, S. Alonso, C. Jayne, E. Pimenidis (Eds.), Engineering Applications of Neural Networks. 24th International Conference, EAAAI/EANN 2023, León, Spain, June 14–17, 2023, Proceedings, Springer Nature Switzerland, Cham, 2023, pp. 191–202.
HSBI-PUB | DOI
 
[39]
2023 | Artikel | FH-PUB-ID: 3482 | OA
Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim
S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, International Journal of Neural Systems (2023).
HSBI-PUB | DOI | Download (ext.)
 
[38]
2023 | Artikel | FH-PUB-ID: 3572 | OA
Exploring spiking neural networks: a comprehensive analysis of mathematical models and applications
S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, Frontiers in Computational Neuroscience 17 (2023).
HSBI-PUB | DOI | Download (ext.)
 
[37]
2023 | Artikel | FH-PUB-ID: 3666
Evaluating Spiking Neural Network Models: A Comparative Performance Analysis
S. Koravuna, U. Rückert, T. Jungeblut, Preprint (2023).
HSBI-PUB | DOI
 
[36]
2023 | Artikel | FH-PUB-ID: 3665 | OA
Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures
S. Sanaullah, S. Koravuna, U. Ruckert, T. Jungeblut, Preprint (2023).
HSBI-PUB | DOI | Download (ext.)
 
[35]
2023 | Konferenzbeitrag | FH-PUB-ID: 3644 | OA
Transforming Event-Based into Spike-Rate Datasets for Enhancing Neuronal Behavior Simulation to Bridging the Gap for SNNs
S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, in: Paris France , 2023.
HSBI-PUB | DOI | Download (ext.)
 
[34]
2023 | Konferenzbeitrag | FH-PUB-ID: 4207 | OA
Analysis of MR Images for Early and Accurate Detection of Brain Tumor using Resource Efficient Simulator Brain Analysis
S. Sanaullah, T. Jungeblut, in: New York USA, 2023.
HSBI-PUB | DOI | Download (ext.)
 
[33]
2023 | Kurzbeitrag Konferenz | FH-PUB-ID: 4206 | OA
A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting
S. Sanaullah, A. Amanullah, K. Roy, J.-A. Lee, S. Chul-Jun, T. Jungeblut, in: 2023.
HSBI-PUB | DOI | Download (ext.)
 
[32]
2023 | Konferenzbeitrag | FH-PUB-ID: 4205 | OA
A Novel Spike Vision Approach for Robust Multi-Object Detection using SNNs
S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, in: 2023.
HSBI-PUB | DOI | Download (ext.)
 
[31]
2023 | Konferenzbeitrag | FH-PUB-ID: 4208
Digit Recognition Using Spiking Neural Networks on FPGA
S. Koravuna, S. Sanaullah, T. Jungeblut, U. Rückert, in: I. Rojas, G. Joya, A. Catala (Eds.), Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I, Springer Nature Switzerland, Cham, 2023, pp. 406–417.
HSBI-PUB | DOI
 
[30]
2022 | Konferenzbeitrag | FH-PUB-ID: 2757
NireHApS: Neuro-Inspired and Resource-Efficient Hardware-Architectures for Plastic SNNs
S. Sanaullah, S. Koravuna, T. Jungeblut, U. Rückert, in: 2022.
HSBI-PUB | DOI
 
[29]
2022 | Artikel | FH-PUB-ID: 4482 | OA
A Framework for Learning Event Sequences and Explaining Detected Anomalies in a Smart Home Environment
J. Baudisch, B. Richter, T. Jungeblut, KI - Künstliche Intelligenz 36 (2022) 259–266.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[28]
2022 | Kurzbeitrag Konferenz | FH-PUB-ID: 2753
Real-Time Resource Efficient Simulator for SNNs-based Model Experimentation
S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, (2022).
HSBI-PUB | DOI
 
[27]
2022 | Konferenzbeitrag | FH-PUB-ID: 3480 | OA
Real-Time SNNs Model Analyzing and Visualizing Experimentation
S. Sanaullah, S. Koravuna, U. Ruckert, T. Jungeblut, in: Unpublished, 2022.
HSBI-PUB | DOI | Download (ext.)
 
[26]
2022 | Konferenzbeitrag | FH-PUB-ID: 2276
SNNs Model Analyzing and Visualizing Experimentation Using RAVSim
S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, in: L. Iliadis, C. Jayne, A. Tefas, E. Pimenidis (Eds.), Engineering Applications of Neural Networks. 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings, Springer International Publishing, Cham, 2022, pp. 40–51.
HSBI-PUB | DOI
 
[25]
2019 | Konferenzbeitrag | FH-PUB-ID: 4483
Towards an SSVEP-BCI Controlled Smart Home
M. Adams, S. Ben-Salem, Z. Islam, A. Vogelsang, T. Jungeblut, U. Ruckert, I. Volosyak, M. Benda, A. Saboor, A.F. Krause, A. Rezeika, F. Gembler, P. Stawicki, M. Hesse, K. Essig, in: 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), IEEE, 2019, pp. 2737–2742.
HSBI-PUB | DOI
 
[24]
2018 | Artikel | FH-PUB-ID: 4486
CoreVA-MPSoC: A Many-Core Architecture with Tightly Coupled Shared and Local Data Memories
J. Ax, G. Sievers, J. Daberkow, M. Flasskamp, M. Vohrmann, T. Jungeblut, W. Kelly, M. Porrmann, U. Ruckert, IEEE Transactions on Parallel and Distributed Systems 29 (2018) 1030–1043.
HSBI-PUB | DOI
 
[23]
2018 | Konferenzbeitrag | FH-PUB-ID: 4485
Scalable Mapping of Streaming Applications onto MPSoCs Using Optimistic Mixed Integer Linear Programming
N. Gayen, J. Ax, M. Flasskamp, C. Klarhorst, T. Jungeblut, M. Tang, W. Kelly, in: 2018 26th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), IEEE, 2018, pp. 348–352.
HSBI-PUB | DOI
 
[22]
2018 | Konferenzbeitrag | FH-PUB-ID: 4487
LEGaTO
A. Cristal, O.S. Unsal, X. Martorell, P. Carpenter, R. De La Cruz, L. Bautista, D. Jimenez, C. Alvarez, B. Salami, S. Madonar, M. Pericàs, P. Trancoso, M. vor dem Berge, G. Billung-Meyer, S. Krupop, W. Christmann, F. Klawonn, A. Mihklafi, T. Becker, G. Gaydadjiev, H. Salomonsson, D. Dubhashi, O. Port, Y. Etsion, V. Nowack, C. Fetzer, J. Hagemeyer, T. Jungeblut, N. Kucza, M. Kaiser, M. Porrmann, M. Pasin, V. Schiavoni, I. Rocha, C. Göttel, P. Felber, D. Kaeli, M. Pericàs, in: Proceedings of the 15th ACM International Conference on Computing Frontiers, ACM, New York, NY, USA, 2018, pp. 276–278.
HSBI-PUB | DOI
 
[21]
2018 | Konferenzbeitrag | FH-PUB-ID: 4484
LEGaTO
A. Cristal, O.S. Unsal, X. Martorell, P. Carpenter, R. De La Cruz, L. Bautista, D. Jimenez, C. Alvarez, B. Salami, S. Madonar, M. Pericàs, P. Trancoso, M. vor dem Berge, G. Billung-Meyer, S. Krupop, W. Christmann, F. Klawonn, A. Mihklafi, T. Becker, G. Gaydadjiev, H. Salomonsson, D. Dubhashi, O. Port, E. Hadar, Y. Etsion, C. Fetzer, J. Hagemeyer, T. Jungeblut, N. Kucza, M. Kaiser, M. Porrmann, M. Pasin, V. Schiavoni, I. Rocha, C. Göttel, P. Felber, in: Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, ACM, New York, USA, 2018, pp. 210–217.
HSBI-PUB | DOI
 
[20]
2017 | Buchbeitrag | FH-PUB-ID: 4490
The CoreVA-MPSoC: A Multiprocessor Platform for Software-Defined Radio
G. Sievers, B. Hübener, J. Ax, M. Flasskamp, W. Kelly, T. Jungeblut, M. Porrmann, in: W. Hussain, J. Nurmi, J. Isoaho, F. Garzia (Eds.), Computing Platforms for Software-Defined Radio, Springer International Publishing, Cham, 2017, pp. 29–59.
HSBI-PUB | DOI
 
[19]
2017 | Konferenzbeitrag | FH-PUB-ID: 4489
A connected chair as part of a smart home environment
M. Hesse, A.F. Krause, L. Vogel, B. Chamadiya, M. Schilling, T. Schack, T. Jungeblut, in: 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN), IEEE, 2017, pp. 47–50.
HSBI-PUB | DOI
 
[18]
2017 | Konferenzbeitrag | FH-PUB-ID: 4488
Design-space exploration of ultra-low power CMOS logic gates in a 28 nm FD-SOI technology
M. Vohrmann, P. Geisler, T. Jungeblut, U. Ruckert, in: 2017 European Conference on Circuit Theory and Design (ECCTD), IEEE, 2017, pp. 1–4.
HSBI-PUB | DOI
 
[17]
2016 | Konferenzbeitrag | FH-PUB-ID: 4491
Performance estimation of streaming applications for hierarchical MPSoCs
M. Flasskamp, G. Sievers, J. Ax, C. Klarhorst, T. Jungeblut, W. Kelly, M. Thies, M. Porrmann, in: Proceedings of the 2016 Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools, ACM, New York, NY, USA, 2016, pp. 1–6.
HSBI-PUB | DOI
 
[16]
2015 | Konferenzbeitrag | FH-PUB-ID: 4496
System-Level Analysis of Network Interfaces for Hierarchical MPSoCs
J. Ax, G. Sievers, M. Flasskamp, W. Kelly, T. Jungeblut, M. Porrmann, in: Proceedings of the 8th International Workshop on Network on Chip Architectures, ACM, New York, NY, USA, 2015, pp. 3–8.
HSBI-PUB | DOI
 
[15]
2015 | Konferenzbeitrag | FH-PUB-ID: 4494
Evaluation of interconnect fabrics for an embedded MPSoC in 28 nm FD-SOI
G. Sievers, J. Ax, N. Kucza, M. Flaskamp, T. Jungeblut, W. Kelly, M. Porrmann, U. Rückert, in: 2015 IEEE International Symposium on Circuits and Systems (ISCAS), IEEE, 2015, pp. 1925–1928.
HSBI-PUB | DOI
 
[14]
2015 | Konferenzbeitrag | FH-PUB-ID: 4493
Comparison of Shared and Private L1 Data Memories for an Embedded MPSoC in 28nm FD-SOI
G. Sievers, J. Daberkow, J. Ax, M. Flasskamp, W. Kelly, T. Jungeblut, M. Porrmann, U. Rückert, in: 2015 IEEE 9th International Symposium on Embedded Multicore/Many-Core Systems-on-Chip, IEEE, 2015, pp. 175–181.
HSBI-PUB | DOI
 
[13]
2015 | Konferenzbeitrag | FH-PUB-ID: 4492
A 65 nm standard cell library for ultra low-power applications
M. Vohrmann, S. Chatterjee, S. Lutkemeier, T. Jungeblut, M. Porrmann, U. Rückert, in: 2015 European Conference on Circuit Theory and Design (ECCTD), IEEE, 2015, pp. 1–4.
HSBI-PUB | DOI
 
[12]
2014 | Konferenzbeitrag | FH-PUB-ID: 4498
CoreVA: A Configurable Resource-Efficient VLIW Processor Architecture
B. Hübener, G. Sievers, T. Jungeblut, M. Porrmann, U. Rückert, in: 2014 12th IEEE International Conference on Embedded and Ubiquitous Computing, IEEE, 2014, pp. 9–16.
HSBI-PUB | DOI
 
[11]
2014 | Konferenzbeitrag | FH-PUB-ID: 4497
A communication model and partitioning algorithm for streaming applications for an embedded MPSoC
W. Kelly, M. Flasskamp, G. Sievers, J. Ax, J. Chen, C. Klarhorst, C. Ragg, T. Jungeblut, A. Sorensen, in: 2014 International Symposium on System-on-Chip (SoC), IEEE, 2014, pp. 1–6.
HSBI-PUB | DOI
 
[10]
2014 | Konferenzbeitrag | FH-PUB-ID: 4495
Neuro control of a PFC rectifier for harmonic reduction at partial loads
L. Keuck, F. Hemmelgarn, N. Fröhleke, J. Böcker, M. Vohrmann, T. Jungeblut, U. Rückert, in: 2014 International Conference on Advances in Green Energy (ICAGE), IEEE, 2014, pp. 94–99.
HSBI-PUB | DOI
 
[9]
2013 | Konferenzbeitrag | FH-PUB-ID: 4502
Pareto-optimal signal processing on low-power microprocessors
P. Christ, G. Sievers, J. Einhaus, T. Jungeblut, M. Porrmann, U. Rückert, in: 2013 IEEE SENSORS, IEEE, 2013, pp. 1–4.
HSBI-PUB | DOI
 
[8]
2013 | Konferenzbeitrag | FH-PUB-ID: 4501
Design-space exploration of the configurable 32 bit VLIW processor CoreVA for signal processing applications
G. Sievers, P. Christ, J. Einhaus, T. Jungeblut, M. Porrmann, U. Rückert, in: 2013 NORCHIP, IEEE, 2013, pp. 1–4.
HSBI-PUB | DOI
 
[7]
2013 | Artikel | FH-PUB-ID: 4500
A systematic approach for optimized bypass configurations for application-specific embedded processors
T. Jungeblut, B. Hübener, M. Porrmann, U. Rückert, ACM Transactions on Embedded Computing Systems 13 (2013) 1–25.
HSBI-PUB | DOI
 
[6]
2013 | Artikel | FH-PUB-ID: 4499
A 65 nm 32 b Subthreshold Processor With 9T Multi-Vt SRAM and Adaptive Supply Voltage Control
S. Lütkemeier, T. Jungeblut, H.K.O. Berge, S. Aunet, M. Porrmann, U. Rückert, IEEE Journal of Solid-State Circuits 48 (2013) 8–19.
HSBI-PUB | DOI
 
[5]
2012 | Konferenzbeitrag | FH-PUB-ID: 4504
A TCMS-based architecture for GALS NoCs
T. Jungeblut, J. Ax, M. Porrmann, U. Rückert, in: 2012 IEEE International Symposium on Circuits and Systems, IEEE, 2012, pp. 2721–2724.
HSBI-PUB | DOI
 
[4]
2012 | Konferenzbeitrag | FH-PUB-ID: 4503
A 200mV 32b subthreshold processor with adaptive supply voltage control
S. Luetkemeier, T. Jungeblut, M. Porrmann, U. Rückert, in: 2012 IEEE International Solid-State Circuits Conference, IEEE, 2012, pp. 484–486.
HSBI-PUB | DOI
 
[3]
2010 | Artikel | FH-PUB-ID: 4506
Resource efficiency of hardware extensions of a 4-issue VLIW processor for elliptic curve cryptography
T. Jungeblut, C. Puttmann, R. Dreesen, M. Porrmann, M. Thies, U. Rückert, U. Kastens, Advances in Radio Science 8 (2010) 295–305.
HSBI-PUB | DOI
 
[2]
2010 | Konferenzbeitrag | FH-PUB-ID: 4505
Design Space Exploration for Memory Subsystems of VLIW Architectures
T. Jungeblut, G. Sievers, M. Porrmann, U. Rückert, in: 2010 IEEE Fifth International Conference on Networking, Architecture, and Storage, IEEE, 2010, pp. 377–385.
HSBI-PUB | DOI
 
[1]
2008 | Artikel | FH-PUB-ID: 4507
Realtime multiprocessor for mobile ad hoc networks
T. Jungeblut, M. Grünewald, M. Porrmann, U. Rückert, Advances in Radio Science 6 (2008) 239–243.
HSBI-PUB | DOI
 
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