---
_id: '6139'
alternative_id:
- '6354'
author:
- first_name: Hasina
  full_name: Attaullah, Hasina
  id: '254998'
  last_name: Attaullah
  orcid: 0000-0002-6902-6116
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-6902-6116/work/190160459
- first_name: Sanaullah
  full_name: Sanaullah, Sanaullah
  id: '248865'
  last_name: Sanaullah
  orcid: 0000-0003-4112-802X
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-4112-802X/work/190160461
- first_name: Annika
  full_name: Peters, Annika
  id: '257172'
  last_name: Peters
- first_name: Qazi Arbab
  full_name: Ahmed, Qazi Arbab
  id: '257333'
  last_name: Ahmed
  orcid: 0000-0002-1837-2254
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-1837-2254/work/190160462
- first_name: Justin
  full_name: Baudisch, Justin
  id: '247397'
  last_name: Baudisch
  orcid: 0000-0001-5565-0228
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-5565-0228/work/190160463
- first_name: Thorsten
  full_name: Jungeblut, Thorsten
  id: '242294'
  last_name: Jungeblut
  orcid: 0000-0001-7425-8766
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-7425-8766/work/190160465
citation:
  alphadin: '<span style="font-variant:small-caps;">Attaullah, Hasina</span> ; <span
    style="font-variant:small-caps;">Sanaullah, Sanaullah</span> ; <span style="font-variant:small-caps;">Peters,
    Annika</span> ; <span style="font-variant:small-caps;">Ahmed, Qazi Arbab</span>
    ; <span style="font-variant:small-caps;">Baudisch, Justin</span> ; <span style="font-variant:small-caps;">Jungeblut,
    Thorsten</span>: DNA: detecting early signs of neurodegenerative diseases through
    activity and sleep analysis. In: <i>Frontiers in Neuroscience</i> Bd. 19, Frontiers
    Media SA (2025)'
  ama: 'Attaullah H, Sanaullah S, Peters A, Ahmed QA, Baudisch J, Jungeblut T. DNA:
    detecting early signs of neurodegenerative diseases through activity and sleep
    analysis. <i>Frontiers in Neuroscience</i>. 2025;19. doi:<a href="https://doi.org/10.3389/fnins.2025.1617758">10.3389/fnins.2025.1617758</a>'
  apa: 'Attaullah, H., Sanaullah, S., Peters, A., Ahmed, Q. A., Baudisch, J., &#38;
    Jungeblut, T. (2025). DNA: detecting early signs of neurodegenerative diseases
    through activity and sleep analysis. <i>Frontiers in Neuroscience</i>, <i>19</i>.
    <a href="https://doi.org/10.3389/fnins.2025.1617758">https://doi.org/10.3389/fnins.2025.1617758</a>'
  bibtex: '@article{Attaullah_Sanaullah_Peters_Ahmed_Baudisch_Jungeblut_2025, title={DNA:
    detecting early signs of neurodegenerative diseases through activity and sleep
    analysis}, volume={19}, DOI={<a href="https://doi.org/10.3389/fnins.2025.1617758">10.3389/fnins.2025.1617758</a>},
    journal={Frontiers in Neuroscience}, publisher={Frontiers Media SA}, author={Attaullah,
    Hasina and Sanaullah, Sanaullah and Peters, Annika and Ahmed, Qazi Arbab and Baudisch,
    Justin and Jungeblut, Thorsten}, year={2025} }'
  chicago: '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.” <i>Frontiers in Neuroscience</i>
    19 (2025). <a href="https://doi.org/10.3389/fnins.2025.1617758">https://doi.org/10.3389/fnins.2025.1617758</a>.'
  ieee: '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,” <i>Frontiers in Neuroscience</i>, vol. 19, 2025.'
  mla: 'Attaullah, Hasina, et al. “DNA: Detecting Early Signs of Neurodegenerative
    Diseases through Activity and Sleep Analysis.” <i>Frontiers in Neuroscience</i>,
    vol. 19, Frontiers Media SA, 2025, doi:<a href="https://doi.org/10.3389/fnins.2025.1617758">10.3389/fnins.2025.1617758</a>.'
  short: H. Attaullah, S. Sanaullah, A. Peters, Q.A. Ahmed, J. Baudisch, T. Jungeblut,
    Frontiers in Neuroscience 19 (2025).
date_created: 2025-08-20T10:50:06Z
date_updated: 2026-03-17T15:29:26Z
department:
- _id: '103'
doi: 10.3389/fnins.2025.1617758
intvolume: '        19'
language:
- iso: eng
project:
- _id: beb248c8-cd75-11ed-b77c-e432b4711f7b
  name: Institut für Systemdynamik und Mechatronik
publication: Frontiers in Neuroscience
publication_identifier:
  eissn:
  - 1662-453X
publication_status: published
publisher: Frontiers Media SA
research_group:
- _id: f025f82c-c221-11ec-90a2-d82e18d06cb8
  name: CareTech OWL - Zentrum für Gesundheit, Soziales und Technologie
status: public
title: 'DNA: detecting early signs of neurodegenerative diseases through activity
  and sleep analysis'
type: journal_article
user_id: '254998'
volume: 19
year: '2025'
...
---
_id: '6052'
author:
- first_name: Sanaullah
  full_name: Sanaullah, Sanaullah
  id: '248865'
  last_name: Sanaullah
  orcid: 0000-0003-4112-802X
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-4112-802X/work/187722275
citation:
  alphadin: '<span style="font-variant:small-caps;">Sanaullah, Sanaullah</span>: <i>Design-Space
    Exploration of Biologically-Inspired SNN Models for Application-Specific Many-Core
    Systems</i> : Universität Bielefeld, 2025'
  ama: Sanaullah S. <i>Design-Space Exploration of Biologically-Inspired SNN Models
    for Application-Specific Many-Core Systems</i>. Universität Bielefeld; 2025. doi:<a
    href="https://doi.org/10.4119/UNIBI/3003814">10.4119/UNIBI/3003814</a>
  apa: Sanaullah, S. (2025). <i>Design-Space Exploration of Biologically-Inspired
    SNN Models for Application-Specific Many-Core Systems</i>. Universität Bielefeld.
    <a href="https://doi.org/10.4119/UNIBI/3003814">https://doi.org/10.4119/UNIBI/3003814</a>
  bibtex: '@book{Sanaullah_2025, title={Design-Space Exploration of Biologically-Inspired
    SNN Models for Application-Specific Many-Core Systems}, DOI={<a href="https://doi.org/10.4119/UNIBI/3003814">10.4119/UNIBI/3003814</a>},
    publisher={Universität Bielefeld}, author={Sanaullah, Sanaullah}, year={2025}
    }'
  chicago: Sanaullah, Sanaullah. <i>Design-Space Exploration of Biologically-Inspired
    SNN Models for Application-Specific Many-Core Systems</i>. Universität Bielefeld,
    2025. <a href="https://doi.org/10.4119/UNIBI/3003814">https://doi.org/10.4119/UNIBI/3003814</a>.
  ieee: S. Sanaullah, <i>Design-Space Exploration of Biologically-Inspired SNN Models
    for Application-Specific Many-Core Systems</i>. Universität Bielefeld, 2025.
  mla: Sanaullah, Sanaullah. <i>Design-Space Exploration of Biologically-Inspired
    SNN Models for Application-Specific Many-Core Systems</i>. Universität Bielefeld,
    2025, doi:<a href="https://doi.org/10.4119/UNIBI/3003814">10.4119/UNIBI/3003814</a>.
  short: S. Sanaullah, Design-Space Exploration of Biologically-Inspired SNN Models
    for Application-Specific Many-Core Systems, Universität Bielefeld, 2025.
date_created: 2025-07-11T07:29:37Z
date_updated: 2026-03-17T15:29:25Z
doi: 10.4119/UNIBI/3003814
language:
- iso: eng
page: '258'
publisher: Universität Bielefeld
status: public
supervisor:
- first_name: Thorsten
  full_name: Jungeblut, Thorsten
  id: '242294'
  last_name: Jungeblut
  orcid: 0000-0001-7425-8766
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-7425-8766/work/187723661
- first_name: 'Ulrich '
  full_name: 'Rückert , Ulrich '
  last_name: 'Rückert '
- first_name: 'Kaushik '
  full_name: 'Roy, Kaushik '
  last_name: Roy
title: Design-Space Exploration of Biologically-Inspired SNN Models for Application-Specific
  Many-Core Systems
type: dissertation
user_id: '220548'
year: '2025'
...
---
_id: '5976'
author:
- first_name: Sanaullah
  full_name: Sanaullah, Sanaullah
  id: '248865'
  last_name: Sanaullah
  orcid: 0000-0003-4112-802X
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-4112-802X/work/186789944
- first_name: Hirotada
  full_name: Honda, Hirotada
  last_name: Honda
- first_name: Kaushik
  full_name: Roy, Kaushik
  last_name: Roy
- first_name: Axel
  full_name: Schneider, Axel
  id: '213480'
  last_name: Schneider
  orcid: 0000-0002-6632-3473
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-6632-3473/work/186789945
- first_name: Joachim
  full_name: Waßmuth, Joachim
  id: '202963'
  last_name: Waßmuth
  orcid: 0009-0006-1863-1275
  orcid_put_code_url: https://api.orcid.org/v2.0/0009-0006-1863-1275/work/186789946
- first_name: Thorsten
  full_name: Jungeblut, Thorsten
  id: '242294'
  last_name: Jungeblut
  orcid: 0000-0001-7425-8766
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-7425-8766/work/186789947
citation:
  alphadin: '<span style="font-variant:small-caps;">Sanaullah, Sanaullah</span> ;
    <span style="font-variant:small-caps;">Honda, Hirotada</span> ; <span style="font-variant:small-caps;">Roy,
    Kaushik</span> ; <span style="font-variant:small-caps;">Schneider, Axel</span>
    ; <span style="font-variant:small-caps;">Waßmuth, Joachim</span> ; <span style="font-variant:small-caps;">Jungeblut,
    Thorsten</span>: Automating Neural Model Selection in Spiking Neural Networks
    Using AutoML Techniques*. In: <i>2025 22nd International Learning and Technology
    Conference (L&#38;T)</i> : IEEE, 2025, S. 274–279'
  ama: 'Sanaullah S, Honda H, Roy K, Schneider A, Waßmuth J, Jungeblut T. Automating
    Neural Model Selection in Spiking Neural Networks Using AutoML Techniques*. In:
    <i>2025 22nd International Learning and Technology Conference (L&#38;T)</i>. IEEE;
    2025:274-279. doi:<a href="https://doi.org/10.1109/LT64002.2025.10941536">10.1109/LT64002.2025.10941536</a>'
  apa: 'Sanaullah, S., Honda, H., Roy, K., Schneider, A., Waßmuth, J., &#38; Jungeblut,
    T. (2025). Automating Neural Model Selection in Spiking Neural Networks Using
    AutoML Techniques*. In <i>2025 22nd International Learning and Technology Conference
    (L&#38;T)</i> (pp. 274–279). Jeddah, Saudi Arabia: IEEE. <a href="https://doi.org/10.1109/LT64002.2025.10941536">https://doi.org/10.1109/LT64002.2025.10941536</a>'
  bibtex: '@inproceedings{Sanaullah_Honda_Roy_Schneider_Waßmuth_Jungeblut_2025, title={Automating
    Neural Model Selection in Spiking Neural Networks Using AutoML Techniques*}, DOI={<a
    href="https://doi.org/10.1109/LT64002.2025.10941536">10.1109/LT64002.2025.10941536</a>},
    booktitle={2025 22nd International Learning and Technology Conference (L&#38;T)},
    publisher={IEEE}, author={Sanaullah, Sanaullah and Honda, Hirotada and Roy, Kaushik
    and Schneider, Axel and Waßmuth, Joachim and Jungeblut, Thorsten}, year={2025},
    pages={274–279} }'
  chicago: 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 <i>2025 22nd International Learning
    and Technology Conference (L&#38;T)</i>, 274–79. IEEE, 2025. <a href="https://doi.org/10.1109/LT64002.2025.10941536">https://doi.org/10.1109/LT64002.2025.10941536</a>.
  ieee: 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 <i>2025 22nd International Learning and Technology Conference (L&#38;T)</i>,
    Jeddah, Saudi Arabia, 2025, pp. 274–279.
  mla: Sanaullah, Sanaullah, et al. “Automating Neural Model Selection in Spiking
    Neural Networks Using AutoML Techniques*.” <i>2025 22nd International Learning
    and Technology Conference (L&#38;T)</i>, IEEE, 2025, pp. 274–79, doi:<a href="https://doi.org/10.1109/LT64002.2025.10941536">10.1109/LT64002.2025.10941536</a>.
  short: 'S. Sanaullah, H. Honda, K. Roy, A. Schneider, J. Waßmuth, T. Jungeblut,
    in: 2025 22nd International Learning and Technology Conference (L&#38;T), IEEE,
    2025, pp. 274–279.'
conference:
  end_date: 2025-01-16
  location: Jeddah, Saudi Arabia
  name: 2025 22nd International Learning and Technology Conference (L&T)
  start_date: 2025-01-15
date_created: 2025-06-27T11:23:24Z
date_updated: 2026-03-17T15:29:24Z
doi: 10.1109/LT64002.2025.10941536
language:
- iso: eng
page: 274-279
project:
- _id: beb248c8-cd75-11ed-b77c-e432b4711f7b
  name: Institut für Systemdynamik und Mechatronik
- _id: 72dfeb62-b436-11ed-9513-f39505d26204
  name: CareTech OWL - Zentrum für Gesundheit, Soziales und Technologie
publication: 2025 22nd International Learning and Technology Conference (L&T)
publication_identifier:
  eisbn:
  - 979-8-3315-3221-5
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Automating Neural Model Selection in Spiking Neural Networks Using AutoML Techniques*
type: conference
user_id: '213480'
year: '2025'
...
---
_id: '5366'
article_number: '102006'
article_type: original
author:
- first_name: Sanaullah
  full_name: Sanaullah, Sanaullah
  id: '248865'
  last_name: Sanaullah
  orcid: 0000-0003-4112-802X
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-4112-802X/work/176388124
- first_name: Axel
  full_name: Schneider, Axel
  id: '213480'
  last_name: Schneider
  orcid: 0000-0002-6632-3473
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-6632-3473/work/176388125
- first_name: Joachim
  full_name: Waßmuth, Joachim
  id: '202963'
  last_name: Waßmuth
  orcid: 0009-0006-1863-1275
  orcid_put_code_url: https://api.orcid.org/v2.0/0009-0006-1863-1275/work/176388126
- first_name: Ulrich
  full_name: Rückert, Ulrich
  last_name: Rückert
- first_name: Thorsten
  full_name: Jungeblut, Thorsten
  id: '242294'
  last_name: Jungeblut
  orcid: 0000-0001-7425-8766
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-7425-8766/work/176388127
citation:
  alphadin: '<span style="font-variant:small-caps;">Sanaullah, Sanaullah</span> ;
    <span style="font-variant:small-caps;">Schneider, Axel</span> ; <span style="font-variant:small-caps;">Waßmuth,
    Joachim</span> ; <span style="font-variant:small-caps;">Rückert, Ulrich</span>
    ; <span style="font-variant:small-caps;">Jungeblut, Thorsten</span>: RAVSim v2.0:
    Enhanced visualization and comparative analysis for neural network models. In:
    <i>SoftwareX</i> Bd. 29, Elsevier BV (2025)'
  ama: 'Sanaullah S, Schneider A, Waßmuth J, Rückert U, Jungeblut T. RAVSim v2.0:
    Enhanced visualization and comparative analysis for neural network models. <i>SoftwareX</i>.
    2025;29. doi:<a href="https://doi.org/10.1016/j.softx.2024.102006">10.1016/j.softx.2024.102006</a>'
  apa: 'Sanaullah, S., Schneider, A., Waßmuth, J., Rückert, U., &#38; Jungeblut, T.
    (2025). RAVSim v2.0: Enhanced visualization and comparative analysis for neural
    network models. <i>SoftwareX</i>, <i>29</i>. <a href="https://doi.org/10.1016/j.softx.2024.102006">https://doi.org/10.1016/j.softx.2024.102006</a>'
  bibtex: '@article{Sanaullah_Schneider_Waßmuth_Rückert_Jungeblut_2025, title={RAVSim
    v2.0: Enhanced visualization and comparative analysis for neural network models},
    volume={29}, DOI={<a href="https://doi.org/10.1016/j.softx.2024.102006">10.1016/j.softx.2024.102006</a>},
    number={102006}, journal={SoftwareX}, publisher={Elsevier BV}, author={Sanaullah,
    Sanaullah and Schneider, Axel and Waßmuth, Joachim and Rückert, Ulrich and Jungeblut,
    Thorsten}, year={2025} }'
  chicago: 'Sanaullah, Sanaullah, Axel Schneider, Joachim Waßmuth, Ulrich Rückert,
    and Thorsten Jungeblut. “RAVSim v2.0: Enhanced Visualization and Comparative Analysis
    for Neural Network Models.” <i>SoftwareX</i> 29 (2025). <a href="https://doi.org/10.1016/j.softx.2024.102006">https://doi.org/10.1016/j.softx.2024.102006</a>.'
  ieee: 'S. Sanaullah, A. Schneider, J. Waßmuth, U. Rückert, and T. Jungeblut, “RAVSim
    v2.0: Enhanced visualization and comparative analysis for neural network models,”
    <i>SoftwareX</i>, vol. 29, 2025.'
  mla: 'Sanaullah, Sanaullah, et al. “RAVSim v2.0: Enhanced Visualization and Comparative
    Analysis for Neural Network Models.” <i>SoftwareX</i>, vol. 29, 102006, Elsevier
    BV, 2025, doi:<a href="https://doi.org/10.1016/j.softx.2024.102006">10.1016/j.softx.2024.102006</a>.'
  short: S. Sanaullah, A. Schneider, J. Waßmuth, U. Rückert, T. Jungeblut, SoftwareX
    29 (2025).
date_created: 2025-01-22T14:11:24Z
date_updated: 2026-03-17T15:29:17Z
department:
- _id: '103'
doi: 10.1016/j.softx.2024.102006
intvolume: '        29'
language:
- iso: eng
project:
- _id: beb248c8-cd75-11ed-b77c-e432b4711f7b
  name: Institut für Systemdynamik und Mechatronik
- _id: 72dfeb62-b436-11ed-9513-f39505d26204
  name: CareTech OWL - Zentrum für Gesundheit, Soziales und Technologie
publication: SoftwareX
publication_identifier:
  issn:
  - '23527110'
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: 'RAVSim v2.0: Enhanced visualization and comparative analysis for neural network
  models'
type: journal_article
user_id: '213480'
volume: 29
year: '2025'
...
---
_id: '5367'
author:
- first_name: Shamini
  full_name: Koravuna, Shamini
  last_name: Koravuna
- first_name: Sanaullah
  full_name: Sanaullah, Sanaullah
  id: '248865'
  last_name: Sanaullah
  orcid: 0000-0003-4112-802X
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-4112-802X/work/176388178
- first_name: Thorsten
  full_name: Jungeblut, Thorsten
  id: '242294'
  last_name: Jungeblut
  orcid: 0000-0001-7425-8766
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-7425-8766/work/176388181
- first_name: Ulrich
  full_name: Rückert, Ulrich
  last_name: Rückert
citation:
  alphadin: '<span style="font-variant:small-caps;">Koravuna, Shamini</span> ; <span
    style="font-variant:small-caps;">Sanaullah, Sanaullah</span> ; <span style="font-variant:small-caps;">Jungeblut,
    Thorsten</span> ; <span style="font-variant:small-caps;">Rückert, Ulrich</span>:
    Spiking Neural Network Models Analysis on Field Programmable Gate Arrays. In:
    <span style="font-variant:small-caps;">Pudaruth, S.</span> ; <span style="font-variant:small-caps;">Ogudo,
    K.</span> (Hrsg.): <i>International Conference on Intelligent and Innovative Computing
    Applications</i>. Bd. 2024 : Society of Information Technologists and Engineers
    Ltd, 2024, S. 259–270'
  ama: 'Koravuna S, Sanaullah S, Jungeblut T, Rückert U. Spiking Neural Network Models
    Analysis on Field Programmable Gate Arrays. In: Pudaruth S, Ogudo K, eds. <i>International
    Conference on Intelligent and Innovative Computing Applications</i>. Vol 2024.
    Society of Information Technologists and Engineers Ltd; 2024:259-270. doi:<a href="https://doi.org/10.59200/ICONIC.2024.027">10.59200/ICONIC.2024.027</a>'
  apa: 'Koravuna, S., Sanaullah, S., Jungeblut, T., &#38; Rückert, U. (2024). Spiking
    Neural Network Models Analysis on Field Programmable Gate Arrays. In S. Pudaruth
    &#38; K. Ogudo (Eds.), <i>International Conference on Intelligent and Innovative
    Computing Applications</i> (Vol. 2024, pp. 259–270). Pearle Beach Hotel &#38;
    Spa, in the paradise island of Mauritius: Society of Information Technologists
    and Engineers Ltd. <a href="https://doi.org/10.59200/ICONIC.2024.027">https://doi.org/10.59200/ICONIC.2024.027</a>'
  bibtex: '@inproceedings{Koravuna_Sanaullah_Jungeblut_Rückert_2024, title={Spiking
    Neural Network Models Analysis on Field Programmable Gate Arrays}, volume={2024},
    DOI={<a href="https://doi.org/10.59200/ICONIC.2024.027">10.59200/ICONIC.2024.027</a>},
    booktitle={International Conference on Intelligent and Innovative Computing Applications},
    publisher={Society of Information Technologists and Engineers Ltd}, author={Koravuna,
    Shamini and Sanaullah, Sanaullah and Jungeblut, Thorsten and Rückert, Ulrich},
    editor={Pudaruth, Sameerchand and Ogudo, KingsleyEditors}, year={2024}, pages={259–270}
    }'
  chicago: Koravuna, Shamini, Sanaullah Sanaullah, Thorsten Jungeblut, and Ulrich
    Rückert. “Spiking Neural Network Models Analysis on Field Programmable Gate Arrays.”
    In <i>International Conference on Intelligent and Innovative Computing Applications</i>,
    edited by Sameerchand Pudaruth and Kingsley Ogudo, 2024:259–70. Society of Information
    Technologists and Engineers Ltd, 2024. <a href="https://doi.org/10.59200/ICONIC.2024.027">https://doi.org/10.59200/ICONIC.2024.027</a>.
  ieee: S. Koravuna, S. Sanaullah, T. Jungeblut, and U. Rückert, “Spiking Neural Network
    Models Analysis on Field Programmable Gate Arrays,” in <i>International Conference
    on Intelligent and Innovative Computing Applications</i>, Pearle Beach Hotel &#38;
    Spa, in the paradise island of Mauritius, 2024, vol. 2024, pp. 259–270.
  mla: Koravuna, Shamini, et al. “Spiking Neural Network Models Analysis on Field
    Programmable Gate Arrays.” <i>International Conference on Intelligent and Innovative
    Computing Applications</i>, edited by Sameerchand Pudaruth and Kingsley Ogudo,
    vol. 2024, Society of Information Technologists and Engineers Ltd, 2024, pp. 259–70,
    doi:<a href="https://doi.org/10.59200/ICONIC.2024.027">10.59200/ICONIC.2024.027</a>.
  short: 'S. Koravuna, S. Sanaullah, T. Jungeblut, U. Rückert, in: S. Pudaruth, K.
    Ogudo (Eds.), International Conference on Intelligent and Innovative Computing
    Applications, Society of Information Technologists and Engineers Ltd, 2024, pp.
    259–270.'
conference:
  end_date: 2024-11-09
  location: Pearle Beach Hotel & Spa, in the paradise island of Mauritius
  name: '4th edition of the 2024  International Conference on Intelligent and Innovative
    Computing Applications (ICONIC) '
  start_date: 2024-11-07
date_created: 2025-01-22T14:12:04Z
date_updated: 2026-03-17T15:29:17Z
doi: 10.59200/ICONIC.2024.027
editor:
- first_name: Sameerchand
  full_name: Pudaruth, Sameerchand
  last_name: Pudaruth
- first_name: Kingsley
  full_name: Ogudo, Kingsley
  last_name: Ogudo
intvolume: '      2024'
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
page: 259-270
publication: International Conference on Intelligent and Innovative Computing Applications
publication_identifier:
  eissn:
  - 1694464X
  issn:
  - '16944607'
publication_status: published
publisher: Society of Information Technologists and Engineers Ltd
status: public
title: Spiking Neural Network Models Analysis on Field Programmable Gate Arrays
type: conference
user_id: '220548'
volume: 2024
year: '2024'
...
---
_id: '5315'
author:
- first_name: Hasina
  full_name: Attaullah, Hasina
  id: '254998'
  last_name: Attaullah
  orcid: 0000-0002-6902-6116
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-6902-6116/work/175782673
- first_name: Sanaullah
  full_name: Sanaullah, Sanaullah
  id: '248865'
  last_name: Sanaullah
  orcid: 0000-0003-4112-802X
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-4112-802X/work/175782674
- first_name: Thorsten
  full_name: Jungeblut, Thorsten
  id: '242294'
  last_name: Jungeblut
  orcid: 0000-0001-7425-8766
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-7425-8766/work/175782675
citation:
  alphadin: '<span style="font-variant:small-caps;">Attaullah, Hasina</span> ; <span
    style="font-variant:small-caps;">Sanaullah, Sanaullah</span> ; <span style="font-variant:small-caps;">Jungeblut,
    Thorsten</span>: FL-DL: Fuzzy Logic with Deep Learning, Hybrid Anomaly Detection
    and Activity Prediction in Smart Homes Data-Sets. In: <i>2024 IEEE 24th International
    Symposium on Computational Intelligence and Informatics (CINTI)</i>. Budapest,
    Hungary : IEEE, 2024, S. 43–48'
  ama: 'Attaullah H, Sanaullah S, Jungeblut T. FL-DL: Fuzzy Logic with Deep Learning,
    Hybrid Anomaly Detection and Activity Prediction in Smart Homes Data-Sets. In:
    <i>2024 IEEE 24th International Symposium on Computational Intelligence and Informatics
    (CINTI)</i>. Budapest, Hungary: IEEE; 2024:43-48. doi:<a href="https://doi.org/10.1109/CINTI63048.2024.10830825">10.1109/CINTI63048.2024.10830825</a>'
  apa: 'Attaullah, H., Sanaullah, S., &#38; Jungeblut, T. (2024). FL-DL: Fuzzy Logic
    with Deep Learning, Hybrid Anomaly Detection and Activity Prediction in Smart
    Homes Data-Sets. In <i>2024 IEEE 24th International Symposium on Computational
    Intelligence and Informatics (CINTI)</i> (pp. 43–48). Budapest, Hungary: IEEE.
    <a href="https://doi.org/10.1109/CINTI63048.2024.10830825">https://doi.org/10.1109/CINTI63048.2024.10830825</a>'
  bibtex: '@inproceedings{Attaullah_Sanaullah_Jungeblut_2024, place={Budapest, Hungary},
    title={FL-DL: Fuzzy Logic with Deep Learning, Hybrid Anomaly Detection and Activity
    Prediction in Smart Homes Data-Sets}, DOI={<a href="https://doi.org/10.1109/CINTI63048.2024.10830825">10.1109/CINTI63048.2024.10830825</a>},
    booktitle={2024 IEEE 24th International Symposium on Computational Intelligence
    and Informatics (CINTI)}, publisher={IEEE}, author={Attaullah, Hasina and Sanaullah,
    Sanaullah and Jungeblut, Thorsten}, year={2024}, pages={43–48} }'
  chicago: '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 <i>2024 IEEE 24th International Symposium on Computational
    Intelligence and Informatics (CINTI)</i>, 43–48. Budapest, Hungary: IEEE, 2024.
    <a href="https://doi.org/10.1109/CINTI63048.2024.10830825">https://doi.org/10.1109/CINTI63048.2024.10830825</a>.'
  ieee: '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 <i>2024 IEEE 24th International Symposium on Computational Intelligence and
    Informatics (CINTI)</i>, Budapest, Hungary, 2024, pp. 43–48.'
  mla: 'Attaullah, Hasina, et al. “FL-DL: Fuzzy Logic with Deep Learning, Hybrid Anomaly
    Detection and Activity Prediction in Smart Homes Data-Sets.” <i>2024 IEEE 24th
    International Symposium on Computational Intelligence and Informatics (CINTI)</i>,
    IEEE, 2024, pp. 43–48, doi:<a href="https://doi.org/10.1109/CINTI63048.2024.10830825">10.1109/CINTI63048.2024.10830825</a>.'
  short: 'H. Attaullah, S. Sanaullah, T. Jungeblut, in: 2024 IEEE 24th International
    Symposium on Computational Intelligence and Informatics (CINTI), IEEE, Budapest,
    Hungary, 2024, pp. 43–48.'
conference:
  end_date: 2024-11-21
  location: Budapest, Hungary
  name: 2024 IEEE 24th International Symposium on Computational Intelligence and Informatics
    (CINTI)
  start_date: 2024-11-19
date_created: 2025-01-15T10:02:14Z
date_updated: 2026-03-17T15:29:16Z
department:
- _id: '103'
doi: 10.1109/CINTI63048.2024.10830825
language:
- iso: eng
page: 43-48
place: Budapest, Hungary
project:
- _id: edf53067-b368-11ed-bde2-9f34a4102af5
  name: TransCareTech - Transformation in Care & Technology
publication: 2024 IEEE 24th International Symposium on Computational Intelligence
  and Informatics (CINTI)
publication_identifier:
  eissn:
  - 2471-9269
publication_status: published
publisher: IEEE
research_group:
- _id: f025f82c-c221-11ec-90a2-d82e18d06cb8
  name: CareTech OWL - Zentrum für Gesundheit, Soziales und Technologie
status: public
title: 'FL-DL: Fuzzy Logic with Deep Learning, Hybrid Anomaly Detection and Activity
  Prediction in Smart Homes Data-Sets'
type: conference
user_id: '220548'
year: '2024'
...
---
_id: '5096'
author:
- first_name: Sanaullah
  full_name: Sanaullah, Sanaullah
  id: '248865'
  last_name: Sanaullah
  orcid: 0000-0003-4112-802X
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-4112-802X/work/171159471
- first_name: Hasina
  full_name: Attaullah, Hasina
  id: '254998'
  last_name: Attaullah
  orcid: 0000-0002-6902-6116
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-6902-6116/work/171438589
- first_name: Thorsten
  full_name: Jungeblut, Thorsten
  id: '242294'
  last_name: Jungeblut
  orcid: 0000-0001-7425-8766
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-7425-8766/work/171159473
citation:
  alphadin: '<span style="font-variant:small-caps;">Sanaullah, Sanaullah</span> ;
    <span style="font-variant:small-caps;">Attaullah, Hasina</span> ; <span style="font-variant:small-caps;">Jungeblut,
    Thorsten</span>: Trade-offs Between Privacy and Performance in Encrypted Dataset
    using Machine Learning Models. In: <span style="font-variant:small-caps;">Kuhl,
    U.</span> ; <span style="font-variant:small-caps;">DataNinja.nrw</span> (Hrsg.):
    <i>Proceedings of the sAIOnARA Conference</i> : DataNinja sAIOnARA Conference,
    2024'
  ama: 'Sanaullah S, Attaullah H, Jungeblut T. Trade-offs Between Privacy and Performance
    in Encrypted Dataset using Machine Learning Models. In: Kuhl U, DataNinja.nrw,
    eds. <i>Proceedings of the SAIOnARA Conference</i>. DataNinja sAIOnARA Conference;
    2024. doi:<a href="https://doi.org/10.11576/DATANINJA-1166">10.11576/DATANINJA-1166</a>'
  apa: 'Sanaullah, S., Attaullah, H., &#38; Jungeblut, T. (2024). Trade-offs Between
    Privacy and Performance in Encrypted Dataset using Machine Learning Models. In
    U. Kuhl &#38; DataNinja.nrw (Eds.), <i>Proceedings of the sAIOnARA Conference</i>.
    Bielefeld: DataNinja sAIOnARA Conference. <a href="https://doi.org/10.11576/DATANINJA-1166">https://doi.org/10.11576/DATANINJA-1166</a>'
  bibtex: '@inproceedings{Sanaullah_Attaullah_Jungeblut_2024, title={Trade-offs Between
    Privacy and Performance in Encrypted Dataset using Machine Learning Models}, DOI={<a
    href="https://doi.org/10.11576/DATANINJA-1166">10.11576/DATANINJA-1166</a>}, booktitle={Proceedings
    of the sAIOnARA Conference}, publisher={DataNinja sAIOnARA Conference}, author={Sanaullah,
    Sanaullah and Attaullah, Hasina and Jungeblut, Thorsten}, editor={Kuhl, Ulrike  and
    DataNinja.nrwEditors}, year={2024} }'
  chicago: Sanaullah, Sanaullah, Hasina Attaullah, and Thorsten Jungeblut. “Trade-Offs
    Between Privacy and Performance in Encrypted Dataset Using Machine Learning Models.”
    In <i>Proceedings of the SAIOnARA Conference</i>, edited by Ulrike  Kuhl and DataNinja.nrw.
    DataNinja sAIOnARA Conference, 2024. <a href="https://doi.org/10.11576/DATANINJA-1166">https://doi.org/10.11576/DATANINJA-1166</a>.
  ieee: S. Sanaullah, H. Attaullah, and T. Jungeblut, “Trade-offs Between Privacy
    and Performance in Encrypted Dataset using Machine Learning Models,” in <i>Proceedings
    of the sAIOnARA Conference</i>, Bielefeld, 2024.
  mla: Sanaullah, Sanaullah, et al. “Trade-Offs Between Privacy and Performance in
    Encrypted Dataset Using Machine Learning Models.” <i>Proceedings of the SAIOnARA
    Conference</i>, edited by Ulrike  Kuhl and DataNinja.nrw, DataNinja sAIOnARA Conference,
    2024, doi:<a href="https://doi.org/10.11576/DATANINJA-1166">10.11576/DATANINJA-1166</a>.
  short: 'S. Sanaullah, H. Attaullah, T. Jungeblut, in: U. Kuhl, DataNinja.nrw (Eds.),
    Proceedings of the SAIOnARA Conference, DataNinja sAIOnARA Conference, 2024.'
conference:
  end_date: 2024-06-27
  location: Bielefeld
  name: sAIOnARA Conference
  start_date: 2024-06-25
corporate_editor:
- DataNinja.nrw
date_created: 2024-11-07T08:50:20Z
date_updated: 2026-03-17T15:29:13Z
department:
- _id: '1'
doi: 10.11576/DATANINJA-1166
editor:
- first_name: 'Ulrike '
  full_name: 'Kuhl, Ulrike '
  last_name: Kuhl
language:
- iso: eng
publication: Proceedings of the sAIOnARA Conference
publication_status: published
publisher: DataNinja sAIOnARA Conference
status: public
title: Trade-offs Between Privacy and Performance in Encrypted Dataset using Machine
  Learning Models
type: conference
user_id: '220548'
year: '2024'
...
---
_id: '5097'
author:
- first_name: Sanaullah
  full_name: Sanaullah, Sanaullah
  id: '248865'
  last_name: Sanaullah
  orcid: 0000-0003-4112-802X
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-4112-802X/work/171159540
- first_name: Shamini
  full_name: Koravuna, Shamini
  last_name: Koravuna
- first_name: Ulrich
  full_name: Rückert, Ulrich
  last_name: Rückert
- first_name: Thorsten
  full_name: Jungeblut, Thorsten
  id: '242294'
  last_name: Jungeblut
  orcid: 0000-0001-7425-8766
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-7425-8766/work/171159541
citation:
  alphadin: '<span style="font-variant:small-caps;">Sanaullah, Sanaullah</span> ;
    <span style="font-variant:small-caps;">Koravuna, Shamini</span> ; <span style="font-variant:small-caps;">Rückert,
    Ulrich</span> ; <span style="font-variant:small-caps;">Jungeblut, Thorsten</span>:
    Advancements in Neural Network Generations. In: <span style="font-variant:small-caps;">Kuhl,
    U.</span> ; <span style="font-variant:small-caps;">DataNinja.nrw</span> (Hrsg.):
    <i>Proceedings of the sAIOnARA Conference</i> : DataNinja sAIOnARA Conference,
    2024'
  ama: 'Sanaullah S, Koravuna S, Rückert U, Jungeblut T. Advancements in Neural Network
    Generations. In: Kuhl U, DataNinja.nrw, eds. <i>Proceedings of the SAIOnARA Conference</i>.
    DataNinja sAIOnARA Conference; 2024. doi:<a href="https://doi.org/10.11576/DATANINJA-1167">10.11576/DATANINJA-1167</a>'
  apa: 'Sanaullah, S., Koravuna, S., Rückert, U., &#38; Jungeblut, T. (2024). Advancements
    in Neural Network Generations. In U. Kuhl &#38; DataNinja.nrw (Eds.), <i>Proceedings
    of the sAIOnARA Conference</i>. Bielefeld: DataNinja sAIOnARA Conference. <a href="https://doi.org/10.11576/DATANINJA-1167">https://doi.org/10.11576/DATANINJA-1167</a>'
  bibtex: '@inproceedings{Sanaullah_Koravuna_Rückert_Jungeblut_2024, title={Advancements
    in Neural Network Generations}, DOI={<a href="https://doi.org/10.11576/DATANINJA-1167">10.11576/DATANINJA-1167</a>},
    booktitle={Proceedings of the sAIOnARA Conference}, publisher={DataNinja sAIOnARA
    Conference}, author={Sanaullah, Sanaullah and Koravuna, Shamini and Rückert, Ulrich
    and Jungeblut, Thorsten}, editor={Kuhl, Ulrike  and DataNinja.nrwEditors}, year={2024}
    }'
  chicago: Sanaullah, Sanaullah, Shamini Koravuna, Ulrich Rückert, and Thorsten Jungeblut.
    “Advancements in Neural Network Generations.” In <i>Proceedings of the SAIOnARA
    Conference</i>, edited by Ulrike  Kuhl and DataNinja.nrw. DataNinja sAIOnARA Conference,
    2024. <a href="https://doi.org/10.11576/DATANINJA-1167">https://doi.org/10.11576/DATANINJA-1167</a>.
  ieee: S. Sanaullah, S. Koravuna, U. Rückert, and T. Jungeblut, “Advancements in
    Neural Network Generations,” in <i>Proceedings of the sAIOnARA Conference</i>,
    Bielefeld, 2024.
  mla: Sanaullah, Sanaullah, et al. “Advancements in Neural Network Generations.”
    <i>Proceedings of the SAIOnARA Conference</i>, edited by Ulrike  Kuhl and DataNinja.nrw,
    DataNinja sAIOnARA Conference, 2024, doi:<a href="https://doi.org/10.11576/DATANINJA-1167">10.11576/DATANINJA-1167</a>.
  short: 'S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, in: U. Kuhl, DataNinja.nrw
    (Eds.), Proceedings of the SAIOnARA Conference, DataNinja sAIOnARA Conference,
    2024.'
conference:
  end_date: 2024-06-27
  location: Bielefeld
  name: DataNinja sAIOnARA 2024 Conference
  start_date: 2024-06-25
corporate_editor:
- DataNinja.nrw
date_created: 2024-11-07T08:51:43Z
date_updated: 2026-03-17T15:29:13Z
doi: 10.11576/DATANINJA-1167
editor:
- first_name: 'Ulrike '
  full_name: 'Kuhl, Ulrike '
  last_name: Kuhl
language:
- iso: eng
publication: Proceedings of the sAIOnARA Conference
publication_status: published
publisher: DataNinja sAIOnARA Conference
status: public
title: Advancements in Neural Network Generations
type: conference
user_id: '220548'
year: '2024'
...
---
_id: '5098'
author:
- first_name: Sanaullah
  full_name: Sanaullah, Sanaullah
  id: '248865'
  last_name: Sanaullah
  orcid: 0000-0003-4112-802X
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-4112-802X/work/171159565
- first_name: Hasina
  full_name: Attaullah, Hasina
  id: '254998'
  last_name: Attaullah
  orcid: 0000-0002-6902-6116
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-6902-6116/work/171438641
- first_name: Thorsten
  full_name: Jungeblut, Thorsten
  id: '242294'
  last_name: Jungeblut
  orcid: 0000-0001-7425-8766
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-7425-8766/work/171159566
citation:
  alphadin: '<span style="font-variant:small-caps;">Sanaullah, Sanaullah</span> ;
    <span style="font-variant:small-caps;">Attaullah, Hasina</span> ; <span style="font-variant:small-caps;">Jungeblut,
    Thorsten</span>: Encryption Techniques for Privacy-Preserving CNN Models: Performance
    and Practicality in Urban AI Applications. In: <span style="font-variant:small-caps;">Omitaomu,
    O. A.</span> ; <span style="font-variant:small-caps;">Mostafavi, A.</span> ; <span
    style="font-variant:small-caps;">Randhawa, S.</span> ; <span style="font-variant:small-caps;">Niu,
    H.</span> (Hrsg.): <i>Proceedings of the 2nd ACM SIGSPATIAL International Workshop
    on Advances in Urban-AI</i>. New York, NY, USA : ACM, 2024, S. 50–53'
  ama: 'Sanaullah S, Attaullah H, Jungeblut T. Encryption Techniques for Privacy-Preserving
    CNN Models: Performance and Practicality in Urban AI Applications. In: Omitaomu
    OA, Mostafavi A, Randhawa S, Niu H, eds. <i>Proceedings of the 2nd ACM SIGSPATIAL
    International Workshop on Advances in Urban-AI</i>. New York, NY, USA: ACM; 2024:50-53.
    doi:<a href="https://doi.org/10.1145/3681780.3697244">10.1145/3681780.3697244</a>'
  apa: 'Sanaullah, S., Attaullah, H., &#38; Jungeblut, T. (2024). Encryption Techniques
    for Privacy-Preserving CNN Models: Performance and Practicality in Urban AI Applications.
    In O. A. Omitaomu, A. Mostafavi, S. Randhawa, &#38; H. Niu (Eds.), <i>Proceedings
    of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI</i> (pp.
    50–53). New York, NY, USA: ACM. <a href="https://doi.org/10.1145/3681780.3697244">https://doi.org/10.1145/3681780.3697244</a>'
  bibtex: '@inproceedings{Sanaullah_Attaullah_Jungeblut_2024, place={New York, NY,
    USA}, title={Encryption Techniques for Privacy-Preserving CNN Models: Performance
    and Practicality in Urban AI Applications}, DOI={<a href="https://doi.org/10.1145/3681780.3697244">10.1145/3681780.3697244</a>},
    booktitle={Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances
    in Urban-AI}, publisher={ACM}, author={Sanaullah, Sanaullah and Attaullah, Hasina
    and Jungeblut, Thorsten}, editor={Omitaomu, Olufemi A. and Mostafavi, Ali and
    Randhawa, Sukanya and Niu, HaoranEditors}, year={2024}, pages={50–53} }'
  chicago: 'Sanaullah, Sanaullah, Hasina Attaullah, and Thorsten Jungeblut. “Encryption
    Techniques for Privacy-Preserving CNN Models: Performance and Practicality in
    Urban AI Applications.” In <i>Proceedings of the 2nd ACM SIGSPATIAL International
    Workshop on Advances in Urban-AI</i>, edited by Olufemi A. Omitaomu, Ali Mostafavi,
    Sukanya Randhawa, and Haoran Niu, 50–53. New York, NY, USA: ACM, 2024. <a href="https://doi.org/10.1145/3681780.3697244">https://doi.org/10.1145/3681780.3697244</a>.'
  ieee: 'S. Sanaullah, H. Attaullah, and T. Jungeblut, “Encryption Techniques for
    Privacy-Preserving CNN Models: Performance and Practicality in Urban AI Applications,”
    in <i>Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances
    in Urban-AI</i>, Atlanta GA USA, 2024, pp. 50–53.'
  mla: 'Sanaullah, Sanaullah, et al. “Encryption Techniques for Privacy-Preserving
    CNN Models: Performance and Practicality in Urban AI Applications.” <i>Proceedings
    of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI</i>,
    edited by Olufemi A. Omitaomu et al., ACM, 2024, pp. 50–53, doi:<a href="https://doi.org/10.1145/3681780.3697244">10.1145/3681780.3697244</a>.'
  short: '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.'
conference:
  end_date: 2024-11-01
  location: Atlanta GA USA
  name: 'SIGSPATIAL ''24: The 32nd ACM International Conference on Advances in Geographic
    Information Systems'
  start_date: 2024-10-29
date_created: 2024-11-07T08:52:45Z
date_updated: 2026-03-17T15:29:13Z
doi: 10.1145/3681780.3697244
editor:
- first_name: Olufemi A.
  full_name: Omitaomu, Olufemi A.
  last_name: Omitaomu
- first_name: Ali
  full_name: Mostafavi, Ali
  last_name: Mostafavi
- first_name: Sukanya
  full_name: Randhawa, Sukanya
  last_name: Randhawa
- first_name: Haoran
  full_name: Niu, Haoran
  last_name: Niu
language:
- iso: eng
page: 50-53
place: New York, NY, USA
publication: Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances
  in Urban-AI
publication_identifier:
  isbn:
  - '9798400711565'
publication_status: published
publisher: ACM
status: public
title: 'Encryption Techniques for Privacy-Preserving CNN Models: Performance and Practicality
  in Urban AI Applications'
type: conference
user_id: '220548'
year: '2024'
...
---
_id: '4997'
alternative_id:
- '5020'
article_number: '9047'
author:
- first_name: Hasina
  full_name: Attaullah, Hasina
  id: '254998'
  last_name: Attaullah
  orcid: 0000-0002-6902-6116
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-6902-6116/work/169817686
- first_name: Sanaullah
  full_name: Sanaullah, Sanaullah
  id: '248865'
  last_name: Sanaullah
  orcid: 0000-0003-4112-802X
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-4112-802X/work/169817688
- first_name: Thorsten
  full_name: Jungeblut, Thorsten
  id: '242294'
  last_name: Jungeblut
  orcid: 0000-0001-7425-8766
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-7425-8766/work/169817690
citation:
  alphadin: '<span style="font-variant:small-caps;">Attaullah, Hasina</span> ; <span
    style="font-variant:small-caps;">Sanaullah, Sanaullah</span> ; <span style="font-variant:small-caps;">Jungeblut,
    Thorsten</span>: Analyzing Machine Learning Models for Activity Recognition Using
    Homomorphically Encrypted Real-World Smart Home Datasets: A Case Study. In: <i>Applied
    Sciences</i> Bd. 14, MDPI AG (2024), Nr. 19'
  ama: 'Attaullah H, Sanaullah S, Jungeblut T. Analyzing Machine Learning Models for
    Activity Recognition Using Homomorphically Encrypted Real-World Smart Home Datasets:
    A Case Study. <i>Applied Sciences</i>. 2024;14(19). doi:<a href="https://doi.org/10.3390/app14199047">10.3390/app14199047</a>'
  apa: 'Attaullah, H., Sanaullah, S., &#38; Jungeblut, T. (2024). Analyzing Machine
    Learning Models for Activity Recognition Using Homomorphically Encrypted Real-World
    Smart Home Datasets: A Case Study. <i>Applied Sciences</i>, <i>14</i>(19). <a
    href="https://doi.org/10.3390/app14199047">https://doi.org/10.3390/app14199047</a>'
  bibtex: '@article{Attaullah_Sanaullah_Jungeblut_2024, title={Analyzing Machine Learning
    Models for Activity Recognition Using Homomorphically Encrypted Real-World Smart
    Home Datasets: A Case Study}, volume={14}, DOI={<a href="https://doi.org/10.3390/app14199047">10.3390/app14199047</a>},
    number={199047}, journal={Applied Sciences}, publisher={MDPI AG}, author={Attaullah,
    Hasina and Sanaullah, Sanaullah and Jungeblut, Thorsten}, year={2024} }'
  chicago: '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.” <i>Applied Sciences</i> 14, no.
    19 (2024). <a href="https://doi.org/10.3390/app14199047">https://doi.org/10.3390/app14199047</a>.'
  ieee: '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,” <i>Applied Sciences</i>, vol. 14, no. 19, 2024.'
  mla: 'Attaullah, Hasina, et al. “Analyzing Machine Learning Models for Activity
    Recognition Using Homomorphically Encrypted Real-World Smart Home Datasets: A
    Case Study.” <i>Applied Sciences</i>, vol. 14, no. 19, 9047, MDPI AG, 2024, doi:<a
    href="https://doi.org/10.3390/app14199047">10.3390/app14199047</a>.'
  short: H. Attaullah, S. Sanaullah, T. Jungeblut, Applied Sciences 14 (2024).
date_created: 2024-10-07T14:35:30Z
date_updated: 2026-03-17T15:29:11Z
department:
- _id: '103'
doi: 10.3390/app14199047
file:
- access_level: open_access
  content_type: application/pdf
  creator: arichert1
  date_created: 2024-10-18T07:27:27Z
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  file_id: '5062'
  file_name: applsci-14-09047.pdf
  file_size: 1189566
  relation: main_file
  success: 1
file_date_updated: 2024-10-18T07:27:27Z
has_accepted_license: '1'
intvolume: '        14'
issue: '19'
language:
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main_file_link:
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  url: https://www.mdpi.com/2076-3417/14/19/9047
oa: '1'
publication: Applied Sciences
publication_identifier:
  eissn:
  - 2076-3417
publication_status: published
publisher: MDPI AG
status: public
title: 'Analyzing Machine Learning Models for Activity Recognition Using Homomorphically
  Encrypted Real-World Smart Home Datasets: A Case Study'
tmp:
  image: /images/cc_by.png
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  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
urn: urn:nbn:de:hbz:bi10-50201
user_id: '220548'
volume: 14
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...
---
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author:
- first_name: Sanaullah
  full_name: Sanaullah, Sanaullah
  id: '248865'
  last_name: Sanaullah
  orcid: 0000-0003-4112-802X
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-4112-802X/work/166042460
- first_name: Kaushik
  full_name: Roy, Kaushik
  last_name: Roy
- first_name: Ulrich
  full_name: Ruckert, Ulrich
  last_name: Ruckert
- first_name: Thorsten
  full_name: Jungeblut, Thorsten
  id: '242294'
  last_name: Jungeblut
  orcid: 0000-0001-7425-8766
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-7425-8766/work/166042461
citation:
  alphadin: '<span style="font-variant:small-caps;">Sanaullah, Sanaullah</span> ;
    <span style="font-variant:small-caps;">Roy, Kaushik</span> ; <span style="font-variant:small-caps;">Ruckert,
    Ulrich</span> ; <span style="font-variant:small-caps;">Jungeblut, Thorsten</span>:
    Selection of Optimal Neural Model using Spiking Neural Network for Edge Computing   .
    In: <span style="font-variant:small-caps;">IEEE</span> (Hrsg.): <i>2024 IEEE 44th
    International Conference on Distributed Computing Systems (ICDCS)</i> : IEEE,
    2024, S. 1452–1453'
  ama: 'Sanaullah S, Roy K, Ruckert U, Jungeblut T. Selection of Optimal Neural Model
    using Spiking Neural Network for Edge Computing   . In: IEEE, ed. <i>2024 IEEE
    44th International Conference on Distributed Computing Systems (ICDCS)</i>. IEEE;
    2024:1452-1453. doi:<a href="https://doi.org/10.1109/ICDCS60910.2024.00147">10.1109/ICDCS60910.2024.00147</a>'
  apa: 'Sanaullah, S., Roy, K., Ruckert, U., &#38; Jungeblut, T. (2024). Selection
    of Optimal Neural Model using Spiking Neural Network for Edge Computing   . In
    IEEE (Ed.), <i>2024 IEEE 44th International Conference on Distributed Computing
    Systems (ICDCS)</i> (pp. 1452–1453). Jersey City, NJ, USA: IEEE. <a href="https://doi.org/10.1109/ICDCS60910.2024.00147">https://doi.org/10.1109/ICDCS60910.2024.00147</a>'
  bibtex: '@inproceedings{Sanaullah_Roy_Ruckert_Jungeblut_2024, title={Selection of
    Optimal Neural Model using Spiking Neural Network for Edge Computing   }, DOI={<a
    href="https://doi.org/10.1109/ICDCS60910.2024.00147">10.1109/ICDCS60910.2024.00147</a>},
    booktitle={2024 IEEE 44th International Conference on Distributed Computing Systems
    (ICDCS)}, publisher={IEEE}, author={Sanaullah, Sanaullah and Roy, Kaushik and
    Ruckert, Ulrich and Jungeblut, Thorsten}, editor={IEEEEditor}, year={2024}, pages={1452–1453}
    }'
  chicago: Sanaullah, Sanaullah, Kaushik Roy, Ulrich Ruckert, and Thorsten Jungeblut.
    “Selection of Optimal Neural Model Using Spiking Neural Network for Edge Computing   .”
    In <i>2024 IEEE 44th International Conference on Distributed Computing Systems
    (ICDCS)</i>, edited by IEEE, 1452–53. IEEE, 2024. <a href="https://doi.org/10.1109/ICDCS60910.2024.00147">https://doi.org/10.1109/ICDCS60910.2024.00147</a>.
  ieee: S. Sanaullah, K. Roy, U. Ruckert, and T. Jungeblut, “Selection of Optimal
    Neural Model using Spiking Neural Network for Edge Computing   ,” in <i>2024 IEEE
    44th International Conference on Distributed Computing Systems (ICDCS)</i>, Jersey
    City, NJ, USA, 2024, pp. 1452–1453.
  mla: Sanaullah, Sanaullah, et al. “Selection of Optimal Neural Model Using Spiking
    Neural Network for Edge Computing   .” <i>2024 IEEE 44th International Conference
    on Distributed Computing Systems (ICDCS)</i>, edited by IEEE, IEEE, 2024, pp.
    1452–53, doi:<a href="https://doi.org/10.1109/ICDCS60910.2024.00147">10.1109/ICDCS60910.2024.00147</a>.
  short: '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.'
conference:
  end_date: 2024-07-26
  location: Jersey City, NJ, USA
  name: 2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS)
  start_date: 2024-07-23
corporate_editor:
- IEEE
date_created: 2024-08-23T10:13:02Z
date_updated: 2026-03-17T15:29:08Z
department:
- _id: '103'
doi: 10.1109/ICDCS60910.2024.00147
external_id:
  inspire:
  - https://ieeexplore.ieee.org/document/10630920
language:
- iso: eng
page: 1452-1453
publication: 2024 IEEE 44th International Conference on Distributed Computing Systems
  (ICDCS)
publication_identifier:
  eisbn:
  - 979-8-3503-8605-9
publication_status: published
publisher: IEEE
status: public
title: 'Selection of Optimal Neural Model using Spiking Neural Network for Edge Computing   '
type: conference_abstract
user_id: '220548'
year: '2024'
...
---
_id: '4782'
alternative_id:
- '5368'
author:
- first_name: Sanaullah
  full_name: Sanaullah, Sanaullah
  id: '248865'
  last_name: Sanaullah
  orcid: 0000-0003-4112-802X
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-4112-802X/work/163027382
- first_name: Shamini
  full_name: Koravuna, Shamini
  last_name: Koravuna
- first_name: Ulrich
  full_name: Rückert, Ulrich
  last_name: Rückert
- first_name: Thorsten
  full_name: Jungeblut, Thorsten
  id: '242294'
  last_name: Jungeblut
  orcid: 0000-0001-7425-8766
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-7425-8766/work/163027383
citation:
  alphadin: '<span style="font-variant:small-caps;">Sanaullah, Sanaullah</span> ;
    <span style="font-variant:small-caps;">Koravuna, Shamini</span> ; <span style="font-variant:small-caps;">Rückert,
    Ulrich</span> ; <span style="font-variant:small-caps;">Jungeblut, Thorsten</span>:
    A Spike Vision Approach for Multi-object Detection and Generating Dataset Using
    Multi-core Architecture on Edge Device. In: <span style="font-variant:small-caps;">Iliadis,
    L.</span> ; <span style="font-variant:small-caps;">Maglogiannis, I.</span> ; <span
    style="font-variant:small-caps;">Papaleonidas, A.</span> ; <span style="font-variant:small-caps;">Pimenidis,
    E.</span> ; <span style="font-variant:small-caps;">Jayne, C.</span> (Hrsg.): <i>Engineering
    Applications of Neural Networks. 25th International Conference, EANN 2024, Corfu,
    Greece, June 27–30, 2024, Proceedings</i>, <i>Communications in Computer and Information
    Science</i>. Cham : Springer Nature Switzerland, 2024, S. 317–328'
  ama: 'Sanaullah S, Koravuna S, Rückert U, Jungeblut T. A Spike Vision Approach for Multi-object
    Detection and Generating Dataset Using Multi-core Architecture on Edge Device.
    In: Iliadis L, Maglogiannis I, Papaleonidas A, Pimenidis E, Jayne C, eds. <i>Engineering
    Applications of Neural Networks. 25th International Conference, EANN 2024, Corfu,
    Greece, June 27–30, 2024, Proceedings</i>. Communications in Computer and Information
    Science. Cham: Springer Nature Switzerland; 2024:317-328. doi:<a href="https://doi.org/10.1007/978-3-031-62495-7_24">10.1007/978-3-031-62495-7_24</a>'
  apa: 'Sanaullah, S., Koravuna, S., Rückert, U., &#38; Jungeblut, T. (2024). A Spike
    Vision Approach for Multi-object Detection and Generating Dataset Using Multi-core
    Architecture on Edge Device. In L. Iliadis, I. Maglogiannis, A. Papaleonidas,
    E. Pimenidis, &#38; C. Jayne (Eds.), <i>Engineering Applications of Neural Networks.
    25th International Conference, EANN 2024, Corfu, Greece, June 27–30, 2024, Proceedings</i>
    (pp. 317–328). Cham: Springer Nature Switzerland. <a href="https://doi.org/10.1007/978-3-031-62495-7_24">https://doi.org/10.1007/978-3-031-62495-7_24</a>'
  bibtex: '@inproceedings{Sanaullah_Koravuna_Rückert_Jungeblut_2024, place={Cham},
    series={Communications in Computer and Information Science}, title={A Spike Vision
    Approach for Multi-object Detection and Generating Dataset Using Multi-core Architecture
    on Edge Device}, DOI={<a href="https://doi.org/10.1007/978-3-031-62495-7_24">10.1007/978-3-031-62495-7_24</a>},
    booktitle={Engineering Applications of Neural Networks. 25th International Conference,
    EANN 2024, Corfu, Greece, June 27–30, 2024, Proceedings}, publisher={Springer
    Nature Switzerland}, author={Sanaullah, Sanaullah and Koravuna, Shamini and Rückert,
    Ulrich and Jungeblut, Thorsten}, editor={Iliadis, Lazaros and Maglogiannis, Ilias
    and Papaleonidas, Antonios and Pimenidis, Elias and Jayne, ChrisinaEditors}, year={2024},
    pages={317–328}, collection={Communications in Computer and Information Science}
    }'
  chicago: '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 <i>Engineering Applications of Neural
    Networks. 25th International Conference, EANN 2024, Corfu, Greece, June 27–30,
    2024, Proceedings</i>, 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. <a href="https://doi.org/10.1007/978-3-031-62495-7_24">https://doi.org/10.1007/978-3-031-62495-7_24</a>.'
  ieee: 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 <i>Engineering Applications of Neural Networks. 25th International
    Conference, EANN 2024, Corfu, Greece, June 27–30, 2024, Proceedings</i>, Corfu,
    Greece, 2024, pp. 317–328.
  mla: Sanaullah, Sanaullah, et al. “A Spike Vision Approach for Multi-Object Detection
    and Generating Dataset Using Multi-Core Architecture on Edge Device.” <i>Engineering
    Applications of Neural Networks. 25th International Conference, EANN 2024, Corfu,
    Greece, June 27–30, 2024, Proceedings</i>, edited by Lazaros Iliadis et al., Springer
    Nature Switzerland, 2024, pp. 317–28, doi:<a href="https://doi.org/10.1007/978-3-031-62495-7_24">10.1007/978-3-031-62495-7_24</a>.
  short: '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.'
conference:
  end_date: 2024-06-30
  location: Corfu, Greece
  name: 25th International Conference, EANN 2024
  start_date: 2024-06-27
date_created: 2024-07-05T10:09:03Z
date_updated: 2026-03-17T15:29:06Z
doi: 10.1007/978-3-031-62495-7_24
editor:
- first_name: Lazaros
  full_name: Iliadis, Lazaros
  last_name: Iliadis
- first_name: Ilias
  full_name: Maglogiannis, Ilias
  last_name: Maglogiannis
- first_name: Antonios
  full_name: Papaleonidas, Antonios
  last_name: Papaleonidas
- first_name: Elias
  full_name: Pimenidis, Elias
  last_name: Pimenidis
- first_name: Chrisina
  full_name: Jayne, Chrisina
  last_name: Jayne
language:
- iso: eng
page: 317-328
place: Cham
publication: Engineering Applications of Neural Networks. 25th International Conference,
  EANN 2024, Corfu, Greece, June 27–30, 2024, Proceedings
publication_identifier:
  eisbn:
  - 978-3-031-62495-7
  eissn:
  - 1865-0937
  isbn:
  - 978-3-031-62494-0
  issn:
  - 1865-0929
publication_status: published
publisher: Springer Nature Switzerland
series_title: Communications in Computer and Information Science
status: public
title: A Spike Vision Approach for Multi-object Detection and Generating Dataset Using
  Multi-core Architecture on Edge Device
type: conference
user_id: '220548'
year: '2024'
...
---
_id: '4783'
author:
- first_name: Sanaullah
  full_name: Sanaullah, Sanaullah
  id: '248865'
  last_name: Sanaullah
  orcid: 0000-0003-4112-802X
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-4112-802X/work/163028077
- first_name: Kaushik
  full_name: Roy, Kaushik
  last_name: Roy
- first_name: 'Ulrich '
  full_name: 'Rückert, Ulrich '
  last_name: Rückert
- first_name: Thorsten
  full_name: Jungeblut, Thorsten
  id: '242294'
  last_name: Jungeblut
  orcid: 0000-0001-7425-8766
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-7425-8766/work/163028078
citation:
  alphadin: '<span style="font-variant:small-caps;">Sanaullah, Sanaullah</span> ;
    <span style="font-variant:small-caps;">Roy, Kaushik</span> ; <span style="font-variant:small-caps;">Rückert,
    Ulrich </span> ; <span style="font-variant:small-caps;">Jungeblut, Thorsten</span>:
    A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning
    Models. In: <span style="font-variant:small-caps;">Lutchyn, T.</span> ; <span
    style="font-variant:small-caps;">Ramírez Rivera, A.</span> ; <span style="font-variant:small-caps;">Ricaud,
    B.</span> (Hrsg.): <i>Proceedings of the 5th Northern Lights Deep Learning Conference</i>.
    Bd. 233. UiT The Arctic University, Tromsø, Norway : Proceedings of Machine Learning
    Research (PMLR), 2024'
  ama: 'Sanaullah S, Roy K, Rückert U, Jungeblut T. A Hybrid Spiking-Convolutional
    Neural Network Approach for Advancing Machine Learning Models. In: Lutchyn T,
    Ramírez Rivera A, Ricaud B, eds. <i>Proceedings of the 5th Northern Lights Deep
    Learning Conference</i>. Vol 233. UiT The Arctic University, Tromsø, Norway: Proceedings
    of Machine Learning Research (PMLR); 2024. doi:<a href="https://doi.org/10.48550/arXiv.2407.08861">10.48550/arXiv.2407.08861</a>'
  apa: 'Sanaullah, S., Roy, K., Rückert, U., &#38; Jungeblut, T. (2024). A Hybrid
    Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models.
    In T. Lutchyn, A. Ramírez Rivera, &#38; B. Ricaud (Eds.), <i>Proceedings of the
    5th Northern Lights Deep Learning Conference</i> (Vol. 233). UiT The Arctic University,
    Tromsø, Norway: Proceedings of Machine Learning Research (PMLR). <a href="https://doi.org/10.48550/arXiv.2407.08861">https://doi.org/10.48550/arXiv.2407.08861</a>'
  bibtex: '@inproceedings{Sanaullah_Roy_Rückert_Jungeblut_2024, place={UiT The Arctic
    University, Tromsø, Norway}, title={A Hybrid Spiking-Convolutional Neural Network
    Approach for Advancing Machine Learning Models}, volume={233}, DOI={<a href="https://doi.org/10.48550/arXiv.2407.08861">10.48550/arXiv.2407.08861</a>},
    booktitle={Proceedings of the 5th Northern Lights Deep Learning Conference}, publisher={Proceedings
    of Machine Learning Research (PMLR)}, author={Sanaullah, Sanaullah and Roy, Kaushik
    and Rückert, Ulrich  and Jungeblut, Thorsten}, editor={Lutchyn, Tetiana  and Ramírez
    Rivera, Adín  and Ricaud, Benjamin Editors}, year={2024} }'
  chicago: 'Sanaullah, Sanaullah, Kaushik Roy, Ulrich  Rückert, and Thorsten Jungeblut.
    “A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine
    Learning Models.” In <i>Proceedings of the 5th Northern Lights Deep Learning Conference</i>,
    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. <a href="https://doi.org/10.48550/arXiv.2407.08861">https://doi.org/10.48550/arXiv.2407.08861</a>.'
  ieee: S. Sanaullah, K. Roy, U. Rückert, and T. Jungeblut, “A Hybrid Spiking-Convolutional
    Neural Network Approach for Advancing Machine Learning Models,” in <i>Proceedings
    of the 5th Northern Lights Deep Learning Conference</i>, UiT The Arctic University,
    Tromsø, Norway, 2024, vol. 233.
  mla: Sanaullah, Sanaullah, et al. “A Hybrid Spiking-Convolutional Neural Network
    Approach for Advancing Machine Learning Models.” <i>Proceedings of the 5th Northern
    Lights Deep Learning Conference</i>, edited by Tetiana  Lutchyn et al., vol. 233,
    Proceedings of Machine Learning Research (PMLR), 2024, doi:<a href="https://doi.org/10.48550/arXiv.2407.08861">10.48550/arXiv.2407.08861</a>.
  short: '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.'
conference:
  end_date: 2024-01-11
  location: UiT The Arctic University, Tromsø, Norway
  name: 5th Northern Lights Deep Learning Conference NLDL
  start_date: 2024-01-09
date_created: 2024-07-05T10:19:09Z
date_updated: 2026-03-17T15:29:06Z
doi: 10.48550/arXiv.2407.08861
editor:
- first_name: 'Tetiana '
  full_name: 'Lutchyn, Tetiana '
  last_name: Lutchyn
- first_name: 'Adín '
  full_name: 'Ramírez Rivera, Adín '
  last_name: Ramírez Rivera
- first_name: 'Benjamin '
  full_name: 'Ricaud, Benjamin '
  last_name: Ricaud
external_id:
  arxiv:
  - arXiv:2407.08861
  isi:
  - https://openreview.net/forum?id=0YiM1yOSUq
intvolume: '       233'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://openreview.net/forum?id=0YiM1yOSUq
oa: '1'
place: UiT The Arctic University, Tromsø, Norway
project:
- _id: beb248c8-cd75-11ed-b77c-e432b4711f7b
  name: Institut für Systemdynamik und Mechatronik
publication: Proceedings of the 5th Northern Lights Deep Learning Conference
publication_status: published
publisher: Proceedings of Machine Learning Research (PMLR)
quality_controlled: '1'
related_material:
  link:
  - relation: confirmation
    url: https://openreview.net/forum?id=0YiM1yOSUq
status: public
title: A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine
  Learning Models
type: conference
user_id: '220548'
volume: 233
year: '2024'
...
---
_id: '4811'
alternative_id:
- '4807'
author:
- first_name: Sanaullah
  full_name: Sanaullah, Sanaullah
  id: '248865'
  last_name: Sanaullah
  orcid: 0000-0003-4112-802X
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-4112-802X/work/164231178
- first_name: Hasina
  full_name: Attaullah, Hasina
  id: '254998'
  last_name: Attaullah
  orcid: 0000-0002-6902-6116
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-6902-6116/work/164231180
- first_name: Thorsten
  full_name: Jungeblut, Thorsten
  id: '242294'
  last_name: Jungeblut
  orcid: 0000-0001-7425-8766
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-7425-8766/work/164231183
citation:
  alphadin: '<span style="font-variant:small-caps;">Sanaullah, Sanaullah</span> ;
    <span style="font-variant:small-caps;">Attaullah, Hasina</span> ; <span style="font-variant:small-caps;">Jungeblut,
    Thorsten</span>: The Next-Gen Interactive Runtime Simulator for Neural Network
    Programming. In: <span style="font-variant:small-caps;">Söderberg, E.</span> ;
    <span style="font-variant:small-caps;">Church, L.</span> (Hrsg.): <i>Companion
    Proceedings of the 8th International Conference on the Art, Science, and Engineering
    of Programming</i>. New York, NY, USA : ACM, 2024, S. 8–10'
  ama: 'Sanaullah S, Attaullah H, Jungeblut T. The Next-Gen Interactive Runtime Simulator
    for Neural Network Programming. In: Söderberg E, Church L, eds. <i>Companion Proceedings
    of the 8th International Conference on the Art, Science, and Engineering of Programming</i>.
    New York, NY, USA: ACM; 2024:8-10. doi:<a href="https://doi.org/10.1145/3660829.3660833">10.1145/3660829.3660833</a>'
  apa: 'Sanaullah, S., Attaullah, H., &#38; Jungeblut, T. (2024). The Next-Gen Interactive
    Runtime Simulator for Neural Network Programming. In E. Söderberg &#38; L. Church
    (Eds.), <i>Companion Proceedings of the 8th International Conference on the Art,
    Science, and Engineering of Programming</i> (pp. 8–10). New York, NY, USA: ACM.
    <a href="https://doi.org/10.1145/3660829.3660833">https://doi.org/10.1145/3660829.3660833</a>'
  bibtex: '@inproceedings{Sanaullah_Attaullah_Jungeblut_2024, place={New York, NY,
    USA}, title={The Next-Gen Interactive Runtime Simulator for Neural Network Programming},
    DOI={<a href="https://doi.org/10.1145/3660829.3660833">10.1145/3660829.3660833</a>},
    booktitle={Companion Proceedings of the 8th International Conference on the Art,
    Science, and Engineering of Programming}, publisher={ACM}, author={Sanaullah,
    Sanaullah and Attaullah, Hasina and Jungeblut, Thorsten}, editor={Söderberg, Emma
    and Church, LukeEditors}, year={2024}, pages={8–10} }'
  chicago: 'Sanaullah, Sanaullah, Hasina Attaullah, and Thorsten Jungeblut. “The Next-Gen
    Interactive Runtime Simulator for Neural Network Programming.” In <i>Companion
    Proceedings of the 8th International Conference on the Art, Science, and Engineering
    of Programming</i>, edited by Emma Söderberg and Luke Church, 8–10. New York,
    NY, USA: ACM, 2024. <a href="https://doi.org/10.1145/3660829.3660833">https://doi.org/10.1145/3660829.3660833</a>.'
  ieee: S. Sanaullah, H. Attaullah, and T. Jungeblut, “The Next-Gen Interactive Runtime
    Simulator for Neural Network Programming,” in <i>Companion Proceedings of the
    8th International Conference on the Art, Science, and Engineering of Programming</i>,
    Lund Sweden, 2024, pp. 8–10.
  mla: Sanaullah, Sanaullah, et al. “The Next-Gen Interactive Runtime Simulator for
    Neural Network Programming.” <i>Companion Proceedings of the 8th International
    Conference on the Art, Science, and Engineering of Programming</i>, edited by
    Emma Söderberg and Luke Church, ACM, 2024, pp. 8–10, doi:<a href="https://doi.org/10.1145/3660829.3660833">10.1145/3660829.3660833</a>.
  short: '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.'
conference:
  end_date: 2024-03-15
  location: Lund Sweden
  name: '‹Programming› ''24: 8th International Conference on the Art, Science, and
    Engineering of Programming'
  start_date: 2024-03-11
date_created: 2024-07-11T07:31:44Z
date_updated: 2026-03-17T15:29:06Z
doi: 10.1145/3660829.3660833
editor:
- first_name: Emma
  full_name: Söderberg, Emma
  last_name: Söderberg
- first_name: Luke
  full_name: Church, Luke
  last_name: Church
language:
- iso: eng
page: 8-10
place: New York, NY, USA
publication: Companion Proceedings of the 8th International Conference on the Art,
  Science, and Engineering of Programming
publication_identifier:
  isbn:
  - '9798400706349'
publication_status: published
publisher: ACM
status: public
title: The Next-Gen Interactive Runtime Simulator for Neural Network Programming
type: conference
user_id: '220548'
year: '2024'
...
---
_id: '4205'
author:
- first_name: Sanaullah
  full_name: Sanaullah, Sanaullah
  id: '248865'
  last_name: Sanaullah
  orcid: 0000-0003-4112-802X
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-4112-802X/work/157718005
- first_name: 'Shamini '
  full_name: 'Koravuna, Shamini '
  last_name: Koravuna
- first_name: 'Ulrich '
  full_name: 'Rückert, Ulrich '
  last_name: Rückert
- first_name: Thorsten
  full_name: Jungeblut, Thorsten
  id: '242294'
  last_name: Jungeblut
  orcid: 0000-0001-7425-8766
citation:
  alphadin: '<span style="font-variant:small-caps;">Sanaullah, Sanaullah</span> ;
    <span style="font-variant:small-caps;">Koravuna, Shamini </span> ; <span style="font-variant:small-caps;">Rückert,
    Ulrich </span> ; <span style="font-variant:small-caps;">Jungeblut, Thorsten</span>:
    A Novel Spike Vision Approach for Robust Multi-Object Detection using SNNs. In:
    , 2023'
  ama: 'Sanaullah S, Koravuna S, Rückert U, Jungeblut T. A Novel Spike Vision Approach
    for Robust Multi-Object Detection using SNNs. In: ; 2023. doi:<a href="https://doi.org/10.5281/zenodo.10262228">10.5281/zenodo.10262228</a>'
  apa: 'Sanaullah, S., Koravuna, S., Rückert, U., &#38; Jungeblut, T. (2023). 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. <a href="https://doi.org/10.5281/zenodo.10262228">https://doi.org/10.5281/zenodo.10262228</a>'
  bibtex: '@inproceedings{Sanaullah_Koravuna_Rückert_Jungeblut_2023, title={A Novel
    Spike Vision Approach for Robust Multi-Object Detection using SNNs}, DOI={<a href="https://doi.org/10.5281/zenodo.10262228">10.5281/zenodo.10262228</a>},
    author={Sanaullah, Sanaullah and Koravuna, Shamini  and Rückert, Ulrich  and Jungeblut,
    Thorsten}, year={2023} }'
  chicago: Sanaullah, Sanaullah, Shamini  Koravuna, Ulrich  Rückert, and Thorsten
    Jungeblut. “A Novel Spike Vision Approach for Robust Multi-Object Detection Using
    SNNs,” 2023. <a href="https://doi.org/10.5281/zenodo.10262228">https://doi.org/10.5281/zenodo.10262228</a>.
  ieee: '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.'
  mla: Sanaullah, Sanaullah, et al. <i>A Novel Spike Vision Approach for Robust Multi-Object
    Detection Using SNNs</i>. 2023, doi:<a href="https://doi.org/10.5281/zenodo.10262228">10.5281/zenodo.10262228</a>.
  short: 'S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, in: 2023.'
conference:
  end_date: 2023-10-25
  location: Congressi Stefano Franscini at Monte Verità in Ticino, Switzerland
  name: 'Conference: Novel Trends in Data Science 2023'
  start_date: 2023-10-22
date_created: 2024-01-04T13:00:57Z
date_updated: 2026-03-17T15:28:57Z
doi: 10.5281/zenodo.10262228
external_id:
  zenodo:
  - 10.5281/zenodo.10262227
keyword:
- Spiking Neural Network
- Neural Network
- Object Detection
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.researchgate.net/publication/376229340_A_Novel_Spike_Vision_Approach_for_Robust_Multi-Object_Detection_Using_SNNs
oa: '1'
project:
- _id: beb248c8-cd75-11ed-b77c-e432b4711f7b
  name: Institut für Systemdynamik und Mechatronik
publication_status: published
status: public
title: A Novel Spike Vision Approach for Robust Multi-Object Detection using SNNs
type: conference
user_id: '242294'
year: '2023'
...
---
_id: '4206'
author:
- first_name: Sanaullah
  full_name: Sanaullah, Sanaullah
  id: '248865'
  last_name: Sanaullah
  orcid: 0000-0003-4112-802X
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-4112-802X/work/157718021
- first_name: Amanullah
  full_name: Amanullah, Amanullah
  last_name: Amanullah
- first_name: 'Kaushik '
  full_name: 'Roy, Kaushik '
  last_name: Roy
- first_name: 'Jeong-A '
  full_name: 'Lee, Jeong-A '
  last_name: Lee
- first_name: 'Son '
  full_name: 'Chul-Jun, Son '
  last_name: Chul-Jun
- first_name: Thorsten
  full_name: Jungeblut, Thorsten
  id: '242294'
  last_name: Jungeblut
  orcid: 0000-0001-7425-8766
citation:
  alphadin: '<span style="font-variant:small-caps;">Sanaullah, Sanaullah</span> ;
    <span style="font-variant:small-caps;">Amanullah, Amanullah</span> ; <span style="font-variant:small-caps;">Roy,
    Kaushik </span> ; <span style="font-variant:small-caps;">Lee, Jeong-A </span>
    ; <span style="font-variant:small-caps;">Chul-Jun, Son </span> ; <span style="font-variant:small-caps;">Jungeblut,
    Thorsten</span>: A Hybrid Spiking-Convolutional Neural Network Approach for Advancing
    High-Quality Image Inpainting. In: , 2023'
  ama: 'Sanaullah S, Amanullah A, Roy K, Lee J-A, Chul-Jun S, Jungeblut T. A Hybrid
    Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image
    Inpainting. In: ; 2023. doi:<a href="https://doi.org/10.5281/zenodo.10458019">10.5281/zenodo.10458019</a>'
  apa: Sanaullah, S., Amanullah, A., Roy, K., Lee, J.-A., Chul-Jun, S., &#38; Jungeblut,
    T. (2023). 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. <a href="https://doi.org/10.5281/zenodo.10458019">https://doi.org/10.5281/zenodo.10458019</a>
  bibtex: '@inproceedings{Sanaullah_Amanullah_Roy_Lee_Chul-Jun_Jungeblut_2023, title={A
    Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality
    Image Inpainting}, DOI={<a href="https://doi.org/10.5281/zenodo.10458019">10.5281/zenodo.10458019</a>},
    author={Sanaullah, Sanaullah and Amanullah, Amanullah and Roy, Kaushik  and Lee,
    Jeong-A  and Chul-Jun, Son  and Jungeblut, Thorsten}, year={2023} }'
  chicago: 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. <a href="https://doi.org/10.5281/zenodo.10458019">https://doi.org/10.5281/zenodo.10458019</a>.
  ieee: 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.
  mla: Sanaullah, Sanaullah, et al. <i>A Hybrid Spiking-Convolutional Neural Network
    Approach for Advancing High-Quality Image Inpainting</i>. 2023, doi:<a href="https://doi.org/10.5281/zenodo.10458019">10.5281/zenodo.10458019</a>.
  short: 'S. Sanaullah, A. Amanullah, K. Roy, J.-A. Lee, S. Chul-Jun, T. Jungeblut,
    in: 2023.'
conference:
  end_date: 2023-10-6
  location: Paris France
  name: International Conference on Computer Vision (ICCV) 2023
  start_date: 2023-10-2
date_created: 2024-01-04T13:04:42Z
date_updated: 2026-03-17T15:28:57Z
doi: 10.5281/zenodo.10458019
external_id:
  zenodo:
  - 10.5281/zenodo.10458018
keyword:
- hybrid SC-NN
- SNN
- CNN
- Machine Learning
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.researchgate.net/publication/377117919_A_Hybrid_Spiking-Convolutional_Neural_Network_Approach_for_Advancing_High-Quality_Image_Inpainting
oa: '1'
project:
- _id: beb248c8-cd75-11ed-b77c-e432b4711f7b
  name: Institut für Systemdynamik und Mechatronik
publication_status: published
status: public
title: A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality
  Image Inpainting
type: conference_abstract
user_id: '242294'
year: '2023'
...
---
_id: '4207'
author:
- first_name: Sanaullah
  full_name: Sanaullah, Sanaullah
  id: '248865'
  last_name: Sanaullah
  orcid: 0000-0003-4112-802X
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-4112-802X/work/157718026
- first_name: Thorsten
  full_name: Jungeblut, Thorsten
  id: '242294'
  last_name: Jungeblut
  orcid: 0000-0001-7425-8766
citation:
  alphadin: '<span style="font-variant:small-caps;">Sanaullah, Sanaullah</span> ;
    <span style="font-variant:small-caps;">Jungeblut, Thorsten</span>: Analysis of
    MR Images for Early and Accurate Detection of Brain Tumor using Resource Efficient
    Simulator Brain Analysis. In: . New York USA, 2023'
  ama: 'Sanaullah S, Jungeblut T. Analysis of MR Images for Early and Accurate Detection
    of Brain Tumor using Resource Efficient Simulator Brain Analysis. In: New York
    USA; 2023. doi:<a href="https://doi.org/10.5281/zenodo.10457930">10.5281/zenodo.10457930</a>'
  apa: Sanaullah, S., &#38; Jungeblut, T. (2023). 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. <a href="https://doi.org/10.5281/zenodo.10457930">https://doi.org/10.5281/zenodo.10457930</a>
  bibtex: '@inproceedings{Sanaullah_Jungeblut_2023, place={New York USA}, title={Analysis
    of MR Images for Early and Accurate Detection of Brain Tumor using Resource Efficient
    Simulator Brain Analysis}, DOI={<a href="https://doi.org/10.5281/zenodo.10457930">10.5281/zenodo.10457930</a>},
    author={Sanaullah, Sanaullah and Jungeblut, Thorsten}, year={2023} }'
  chicago: 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. <a href="https://doi.org/10.5281/zenodo.10457930">https://doi.org/10.5281/zenodo.10457930</a>.
  ieee: 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.
  mla: Sanaullah, Sanaullah, and Thorsten Jungeblut. <i>Analysis of MR Images for
    Early and Accurate Detection of Brain Tumor Using Resource Efficient Simulator
    Brain Analysis</i>. 2023, doi:<a href="https://doi.org/10.5281/zenodo.10457930">10.5281/zenodo.10457930</a>.
  short: 'S. Sanaullah, T. Jungeblut, in: New York USA, 2023.'
conference:
  end_date: 2023-07-14
  location: New York USA
  name: 19th International Conference on Machine Learning and Data Mining MLDM
  start_date: 2023-07-13
date_created: 2024-01-04T13:06:32Z
date_updated: 2026-03-17T15:28:57Z
doi: 10.5281/zenodo.10457930
external_id:
  zenodo:
  - 10.5281/zenodo.10457929
keyword:
- Brain Analysis
- Machine Learning
- Simulator
- Runtime Simulator
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.researchgate.net/publication/377117079_Analysis_of_MR_Images_for_Early_and_Accurate_Detection_of_Brain_Tumor_using_Resource_Efficient_Simulator_Brain_Analysis
oa: '1'
place: New York USA
project:
- _id: beb248c8-cd75-11ed-b77c-e432b4711f7b
  name: Institut für Systemdynamik und Mechatronik
publication_status: published
status: public
title: Analysis of MR Images for Early and Accurate Detection of Brain Tumor using
  Resource Efficient Simulator Brain Analysis
type: conference
user_id: '242294'
year: '2023'
...
---
_id: '4208'
author:
- first_name: Shamini
  full_name: Koravuna, Shamini
  last_name: Koravuna
- first_name: Sanaullah
  full_name: Sanaullah, Sanaullah
  id: '248865'
  last_name: Sanaullah
  orcid: 0000-0003-4112-802X
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-4112-802X/work/157717844
- first_name: Thorsten
  full_name: Jungeblut, Thorsten
  id: '242294'
  last_name: Jungeblut
  orcid: 0000-0001-7425-8766
- first_name: Ulrich
  full_name: Rückert, Ulrich
  last_name: Rückert
citation:
  alphadin: '<span style="font-variant:small-caps;">Koravuna, Shamini</span> ; <span
    style="font-variant:small-caps;">Sanaullah, Sanaullah</span> ; <span style="font-variant:small-caps;">Jungeblut,
    Thorsten</span> ; <span style="font-variant:small-caps;">Rückert, Ulrich</span>:
    Digit Recognition Using Spiking Neural Networks on FPGA. In: <span style="font-variant:small-caps;">Rojas,
    I.</span> ; <span style="font-variant:small-caps;">Joya, G.</span> ; <span style="font-variant:small-caps;">Catala,
    A.</span> (Hrsg.): <i>Advances in Computational Intelligence. 17th International
    Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal,
    June 19–21, 2023, Proceedings, Part I</i>, <i>Lecture Notes in Computer Science</i>.
    Cham : Springer Nature Switzerland, 2023, S. 406–417'
  ama: 'Koravuna S, Sanaullah S, Jungeblut T, Rückert U. Digit Recognition Using Spiking
    Neural Networks on FPGA. In: Rojas I, Joya G, Catala A, eds. <i>Advances in Computational
    Intelligence. 17th International Work-Conference on Artificial Neural Networks,
    IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I</i>.
    Lecture Notes in Computer Science. Cham: Springer Nature Switzerland; 2023:406-417.
    doi:<a href="https://doi.org/10.1007/978-3-031-43085-5_32">10.1007/978-3-031-43085-5_32</a>'
  apa: 'Koravuna, S., Sanaullah, S., Jungeblut, T., &#38; Rückert, U. (2023). Digit
    Recognition Using Spiking Neural Networks on FPGA. In I. Rojas, G. Joya, &#38;
    A. Catala (Eds.), <i>Advances in Computational Intelligence. 17th International
    Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal,
    June 19–21, 2023, Proceedings, Part I</i> (pp. 406–417). Cham: Springer Nature
    Switzerland. <a href="https://doi.org/10.1007/978-3-031-43085-5_32">https://doi.org/10.1007/978-3-031-43085-5_32</a>'
  bibtex: '@inproceedings{Koravuna_Sanaullah_Jungeblut_Rückert_2023, place={Cham},
    series={Lecture Notes in Computer Science}, title={Digit Recognition Using Spiking
    Neural Networks on FPGA}, DOI={<a href="https://doi.org/10.1007/978-3-031-43085-5_32">10.1007/978-3-031-43085-5_32</a>},
    booktitle={Advances in Computational Intelligence. 17th International Work-Conference
    on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21,
    2023, Proceedings, Part I}, publisher={Springer Nature Switzerland}, author={Koravuna,
    Shamini and Sanaullah, Sanaullah and Jungeblut, Thorsten and Rückert, Ulrich},
    editor={Rojas, Ignacio and Joya, Gonzalo and Catala, AndreuEditors}, year={2023},
    pages={406–417}, collection={Lecture Notes in Computer Science} }'
  chicago: 'Koravuna, Shamini, Sanaullah Sanaullah, Thorsten Jungeblut, and Ulrich
    Rückert. “Digit Recognition Using Spiking Neural Networks on FPGA.” In <i>Advances
    in Computational Intelligence. 17th International Work-Conference on Artificial
    Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings,
    Part I</i>, edited by Ignacio Rojas, Gonzalo Joya, and Andreu Catala, 406–17.
    Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2023. <a
    href="https://doi.org/10.1007/978-3-031-43085-5_32">https://doi.org/10.1007/978-3-031-43085-5_32</a>.'
  ieee: S. Koravuna, S. Sanaullah, T. Jungeblut, and U. Rückert, “Digit Recognition
    Using Spiking Neural Networks on FPGA,” in <i>Advances in Computational Intelligence.
    17th International Work-Conference on Artificial Neural Networks, IWANN 2023,
    Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I</i>, 2023, pp.
    406–417.
  mla: Koravuna, Shamini, et al. “Digit Recognition Using Spiking Neural Networks
    on FPGA.” <i>Advances in Computational Intelligence. 17th International Work-Conference
    on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21,
    2023, Proceedings, Part I</i>, edited by Ignacio Rojas et al., Springer Nature
    Switzerland, 2023, pp. 406–17, doi:<a href="https://doi.org/10.1007/978-3-031-43085-5_32">10.1007/978-3-031-43085-5_32</a>.
  short: '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.'
date_created: 2024-01-04T13:07:12Z
date_updated: 2026-03-17T15:28:57Z
doi: 10.1007/978-3-031-43085-5_32
editor:
- first_name: Ignacio
  full_name: Rojas, Ignacio
  last_name: Rojas
- first_name: Gonzalo
  full_name: Joya, Gonzalo
  last_name: Joya
- first_name: Andreu
  full_name: Catala, Andreu
  last_name: Catala
language:
- iso: eng
page: 406-417
place: Cham
project:
- _id: beb248c8-cd75-11ed-b77c-e432b4711f7b
  name: Institut für Systemdynamik und Mechatronik
publication: Advances in Computational Intelligence. 17th International Work-Conference
  on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21,
  2023, Proceedings, Part I
publication_identifier:
  eisbn:
  - 978-3-031-43085-5
  eissn:
  - 1611-3349
  isbn:
  - 978-3-031-43084-8
  issn:
  - 0302-9743
publication_status: published
publisher: Springer Nature Switzerland
series_title: Lecture Notes in Computer Science
status: public
title: Digit Recognition Using Spiking Neural Networks on FPGA
type: conference
user_id: '242294'
year: '2023'
...
---
_id: '3644'
author:
- first_name: Sanaullah
  full_name: Sanaullah, Sanaullah
  id: '248865'
  last_name: Sanaullah
  orcid: 0000-0003-4112-802X
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-4112-802X/work/157718030
- first_name: Shamini
  full_name: Koravuna, Shamini
  last_name: Koravuna
- first_name: Ulrich
  full_name: Rückert, Ulrich
  last_name: Rückert
- first_name: Thorsten
  full_name: Jungeblut, Thorsten
  id: '242294'
  last_name: Jungeblut
  orcid: 0000-0001-7425-8766
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-7425-8766/work/157718039
citation:
  alphadin: '<span style="font-variant:small-caps;">Sanaullah, Sanaullah</span> ;
    <span style="font-variant:small-caps;">Koravuna, Shamini</span> ; <span style="font-variant:small-caps;">Rückert,
    Ulrich</span> ; <span style="font-variant:small-caps;">Jungeblut, Thorsten</span>:
    Transforming Event-Based into Spike-Rate Datasets for Enhancing Neuronal Behavior
    Simulation to Bridging the Gap for SNNs. In: . Paris France , 2023'
  ama: 'Sanaullah S, Koravuna S, Rückert U, Jungeblut T. Transforming Event-Based
    into Spike-Rate Datasets for Enhancing Neuronal Behavior Simulation to Bridging
    the Gap for SNNs. In: Paris France ; 2023. doi:<a href="https://doi.org/10.13140/RG.2.2.14469.32485">10.13140/RG.2.2.14469.32485</a>'
  apa: Sanaullah, S., Koravuna, S., Rückert, U., &#38; Jungeblut, T. (2023). 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 . <a href="https://doi.org/10.13140/RG.2.2.14469.32485">https://doi.org/10.13140/RG.2.2.14469.32485</a>
  bibtex: '@inproceedings{Sanaullah_Koravuna_Rückert_Jungeblut_2023, place={Paris
    France }, title={Transforming Event-Based into Spike-Rate Datasets for Enhancing
    Neuronal Behavior Simulation to Bridging the Gap for SNNs}, DOI={<a href="https://doi.org/10.13140/RG.2.2.14469.32485">10.13140/RG.2.2.14469.32485</a>},
    author={Sanaullah, Sanaullah and Koravuna, Shamini and Rückert, Ulrich and Jungeblut,
    Thorsten}, year={2023} }'
  chicago: 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. <a href="https://doi.org/10.13140/RG.2.2.14469.32485">https://doi.org/10.13140/RG.2.2.14469.32485</a>.
  ieee: 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.
  mla: Sanaullah, Sanaullah, et al. <i>Transforming Event-Based into Spike-Rate Datasets
    for Enhancing Neuronal Behavior Simulation to Bridging the Gap for SNNs</i>. 2023,
    doi:<a href="https://doi.org/10.13140/RG.2.2.14469.32485">10.13140/RG.2.2.14469.32485</a>.
  short: 'S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, in: Paris France ,
    2023.'
conference:
  end_date: 2023-10-6
  location: Paris France
  name: International Conference on Computer Vision (ICCV) 2023
  start_date: 2023-10-2
date_created: 2023-10-13T19:40:13Z
date_updated: 2026-03-17T15:28:48Z
doi: 10.13140/RG.2.2.14469.32485
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.researchgate.net/publication/374697513_Transforming_Event-Based_into_Spike-Rate_Datasets_for_Enhancing_Neuronal_Behavior_Simulation_to_Bridging_the_Gap_for_SNNs?_sg%5B0%5D=izU9QrvTaPuehxlfAsq6vGLYQpJ6SHS3m0JofXNXsdTiB2FvXRxpS2wGxh-_kJBLSWjBfpAzolF8TYrc9OMGZFni4KrhKKGRd7o4oUgQ.bYlsvJhKewoqbpZAP3BlUxsV998oCSnlcK64PCJYstSZERorOywZv4lpPsroSJVe_kwsbscA_2ImnwZWup9UTA&_tp=eyJjb250ZXh0Ijp7ImZpcnN0UGFnZSI6ImhvbWUiLCJwYWdlIjoicHJvZmlsZSIsInBvc2l0aW9uIjoicGFnZUNvbnRlbnQifX0
oa: '1'
place: 'Paris France '
project:
- _id: beb248c8-cd75-11ed-b77c-e432b4711f7b
  name: Institut für Systemdynamik und Mechatronik
status: public
title: Transforming Event-Based into Spike-Rate Datasets for Enhancing Neuronal Behavior
  Simulation to Bridging the Gap for SNNs
type: conference
user_id: '242294'
year: '2023'
...
---
_id: '3665'
author:
- first_name: Sanaullah
  full_name: Sanaullah, Sanaullah
  id: '248865'
  last_name: Sanaullah
  orcid: 0000-0003-4112-802X
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-4112-802X/work/157718048
- first_name: Shamini
  full_name: Koravuna, Shamini
  last_name: Koravuna
- first_name: Ulrich
  full_name: Ruckert, Ulrich
  last_name: Ruckert
- first_name: Thorsten
  full_name: Jungeblut, Thorsten
  id: '242294'
  last_name: Jungeblut
  orcid: 0000-0001-7425-8766
citation:
  alphadin: '<span style="font-variant:small-caps;">Sanaullah, Sanaullah</span> ;
    <span style="font-variant:small-caps;">Koravuna, Shamini</span> ; <span style="font-variant:small-caps;">Ruckert,
    Ulrich</span> ; <span style="font-variant:small-caps;">Jungeblut, Thorsten</span>:
    Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures.
    In: <i>Preprint</i> (2023)'
  ama: Sanaullah S, Koravuna S, Ruckert U, Jungeblut T. Design-Space Exploration of
    SNN Models using Application-Specific Multi-Core Architectures. <i>Preprint</i>.
    2023. doi:<a href="https://doi.org/10.13140/RG.2.2.26328.88324">10.13140/RG.2.2.26328.88324</a>
  apa: Sanaullah, S., Koravuna, S., Ruckert, U., &#38; Jungeblut, T. (2023). Design-Space
    Exploration of SNN Models using Application-Specific Multi-Core Architectures.
    <i>Preprint</i>. <a href="https://doi.org/10.13140/RG.2.2.26328.88324">https://doi.org/10.13140/RG.2.2.26328.88324</a>
  bibtex: '@article{Sanaullah_Koravuna_Ruckert_Jungeblut_2023, title={Design-Space
    Exploration of SNN Models using Application-Specific Multi-Core Architectures},
    DOI={<a href="https://doi.org/10.13140/RG.2.2.26328.88324">10.13140/RG.2.2.26328.88324</a>},
    journal={Preprint}, author={Sanaullah, Sanaullah and Koravuna, Shamini and Ruckert,
    Ulrich and Jungeblut, Thorsten}, year={2023} }'
  chicago: Sanaullah, Sanaullah, Shamini Koravuna, Ulrich Ruckert, and Thorsten Jungeblut.
    “Design-Space Exploration of SNN Models Using Application-Specific Multi-Core
    Architectures.” <i>Preprint</i>, 2023. <a href="https://doi.org/10.13140/RG.2.2.26328.88324">https://doi.org/10.13140/RG.2.2.26328.88324</a>.
  ieee: S. Sanaullah, S. Koravuna, U. Ruckert, and T. Jungeblut, “Design-Space Exploration
    of SNN Models using Application-Specific Multi-Core Architectures,” <i>Preprint</i>,
    2023.
  mla: Sanaullah, Sanaullah, et al. “Design-Space Exploration of SNN Models Using
    Application-Specific Multi-Core Architectures.” <i>Preprint</i>, 2023, doi:<a
    href="https://doi.org/10.13140/RG.2.2.26328.88324">10.13140/RG.2.2.26328.88324</a>.
  short: S. Sanaullah, S. Koravuna, U. Ruckert, T. Jungeblut, Preprint (2023).
date_created: 2023-10-26T06:03:39Z
date_updated: 2026-03-17T15:28:48Z
doi: 10.13140/RG.2.2.26328.88324
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: 10.31219/osf.io/cpd4e
oa: '1'
project:
- _id: beb248c8-cd75-11ed-b77c-e432b4711f7b
  name: Institut für Systemdynamik und Mechatronik
publication: Preprint
status: public
title: Design-Space Exploration of SNN Models using Application-Specific Multi-Core
  Architectures
type: journal_article
user_id: '242294'
year: '2023'
...