15 Publikationen
2025 | Konferenzbeitrag | FH-PUB-ID: 6355
Attaullah, H., Peters, C., Peters, A., & Jungeblut, T. (2025). AI Meets Elderly Care: Mining Smart Home Data for Dementia and Depression Detection. (Schriftenreihe des Institute for Data Science Solutions, Ed.). Presented at the KI2025@HSBI Zukunft im Fokus, Bielefeld. https://doi.org/10.60802/SIDAS.2025.2
HSBI-PUB
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2025 | Artikel | FH-PUB-ID: 6139
Attaullah, H., Sanaullah, S., Peters, A., Ahmed, Q. A., Baudisch, J., & Jungeblut, T. (2025). DNA: detecting early signs of neurodegenerative diseases through activity and sleep analysis. Frontiers in Neuroscience, 19. https://doi.org/10.3389/fnins.2025.1617758
HSBI-PUB
| DOI
2025 | Konferenzbeitrag | FH-PUB-ID: 6204 |
Attaullah, H., Halbrügge, M., Naumann, R., & Jungeblut, T. (2025). Digitaler Bahnhof Minden: Künstliche Intelligenz für den Bahnhof der Zukunft (pp. 4–5). Presented at the KI@HSBI 2025 - Zukunft im Fokus, Bielefeld. https://doi.org/10.60802/sidas.2025.2
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2024 | Konferenzbeitrag | FH-PUB-ID: 5336
Attaullah, H., Kiani, A., & Jungeblut, T. (2024). Improving Transfer Learning and Domain Adaptation in Smart Homes: The Role of Dynamic Domain Adaptation Layer. In IEEE (Ed.), 2024 International Conference on Frontiers of Information Technology (FIT) (pp. 1–6). Islamabad, Pakistan: IEEE. https://doi.org/10.1109/FIT63703.2024.10838396
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5315
Attaullah, H., Sanaullah, S., & Jungeblut, T. (2024). FL-DL: Fuzzy Logic with Deep Learning, Hybrid Anomaly Detection and Activity Prediction in Smart Homes Data-Sets. In 2024 IEEE 24th International Symposium on Computational Intelligence and Informatics (CINTI) (pp. 43–48). Budapest, Hungary: IEEE. https://doi.org/10.1109/CINTI63048.2024.10830825
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5098
Sanaullah, S., Attaullah, H., & 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, & H. Niu (Eds.), Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI (pp. 50–53). New York, NY, USA: ACM. https://doi.org/10.1145/3681780.3697244
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5096
Sanaullah, S., Attaullah, H., & Jungeblut, T. (2024). Trade-offs Between Privacy and Performance in Encrypted Dataset using Machine Learning Models. In U. Kuhl & DataNinja.nrw (Eds.), Proceedings of the sAIOnARA Conference. Bielefeld: DataNinja sAIOnARA Conference. https://doi.org/10.11576/DATANINJA-1166
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 4997 |
Attaullah, H., Sanaullah, S., & Jungeblut, T. (2024). Analyzing Machine Learning Models for Activity Recognition Using Homomorphically Encrypted Real-World Smart Home Datasets: A Case Study. Applied Sciences, 14(19). https://doi.org/10.3390/app14199047
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2024 | Konferenzbeitrag | FH-PUB-ID: 4811
Sanaullah, S., Attaullah, H., & Jungeblut, T. (2024). The Next-Gen Interactive Runtime Simulator for Neural Network Programming. In E. Söderberg & L. Church (Eds.), Companion Proceedings of the 8th International Conference on the Art, Science, and Engineering of Programming (pp. 8–10). New York, NY, USA: ACM. https://doi.org/10.1145/3660829.3660833
HSBI-PUB
| DOI
2023 | Artikel | FH-PUB-ID: 4801
Kanwal, T., Attaullah, H., Anjum, A., Khan, A., & Jeon, G. (2023). Fuzz-classification (p, l)-Angel: An enhanced hybrid artificial intelligence based fuzzy logic for multiple sensitive attributes against privacy breaches. Digital Communications and Networks, 9(5), 1131–1140. https://doi.org/10.1016/j.dcan.2022.09.025
HSBI-PUB
| DOI
2022 | Artikel | FH-PUB-ID: 4802
Attaullah, H., Kanwal, T., Anjum, A., Ahmed, G., Khan, S., Rawat, D. B., & Khan, R. (2022). Fuzzy-Logic-Based Privacy-Aware Dynamic Release of IoT-Enabled Healthcare Data. IEEE Internet of Things Journal, 9(6), 4411–4420. https://doi.org/10.1109/JIOT.2021.3103939
HSBI-PUB
| DOI
2021 | Artikel | FH-PUB-ID: 4803
Attaullah, H., Anjum, A., Kanwal, T., Malik, S. U. R., Asheralieva, A., Malik, H., … Imran, M. A. (2021). F-Classify: Fuzzy Rule Based Classification Method for Privacy Preservation of Multiple Sensitive Attributes. Sensors, 21(14). https://doi.org/10.3390/s21144933
HSBI-PUB
| DOI
2014 | Artikel | FH-PUB-ID: 4804
Iqbal, M., Shafiq, M., Choi, J.-G., Attaullah, H., Akram, K., & Wang, X. (2014). Design and Analysis of a Novel Hybrid Wireless Mesh Network Routing Protocol. International Journal of Adaptive, Resilient and Autonomic Systems, 5(3), 20–39. https://doi.org/10.4018/ijaras.2014070102
HSBI-PUB
| DOI
2009 | Artikel | FH-PUB-ID: 4805
Attaullah, H., & Javed, M. Y. (2009). QoS based Vertical handover between UMTS, WiFi and WiMAX Networks. Journal of Convergence Information Technology, 4(3), 59–64. https://doi.org/10.4156/jcit.vol4.issue3.8
HSBI-PUB
| DOI
2008 | Konferenzbeitrag | FH-PUB-ID: 4806
Attaullah, H., Iqbal, F., & Javed, M. Y. (2008). Intelligent vertical handover decision model to improve QoS. In A. Abraham (Ed.), 2008 Third International Conference on Digital Information Management (pp. 119–124). London, United Kingdom: IEEE. https://doi.org/10.1109/ICDIM.2008.4746775
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15 Publikationen
2025 | Konferenzbeitrag | FH-PUB-ID: 6355
Attaullah, H., Peters, C., Peters, A., & Jungeblut, T. (2025). AI Meets Elderly Care: Mining Smart Home Data for Dementia and Depression Detection. (Schriftenreihe des Institute for Data Science Solutions, Ed.). Presented at the KI2025@HSBI Zukunft im Fokus, Bielefeld. https://doi.org/10.60802/SIDAS.2025.2
HSBI-PUB
| Dateien verfügbar
| DOI
2025 | Artikel | FH-PUB-ID: 6139
Attaullah, H., Sanaullah, S., Peters, A., Ahmed, Q. A., Baudisch, J., & Jungeblut, T. (2025). DNA: detecting early signs of neurodegenerative diseases through activity and sleep analysis. Frontiers in Neuroscience, 19. https://doi.org/10.3389/fnins.2025.1617758
HSBI-PUB
| DOI
2025 | Konferenzbeitrag | FH-PUB-ID: 6204 |
Attaullah, H., Halbrügge, M., Naumann, R., & Jungeblut, T. (2025). Digitaler Bahnhof Minden: Künstliche Intelligenz für den Bahnhof der Zukunft (pp. 4–5). Presented at the KI@HSBI 2025 - Zukunft im Fokus, Bielefeld. https://doi.org/10.60802/sidas.2025.2
HSBI-PUB
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 5336
Attaullah, H., Kiani, A., & Jungeblut, T. (2024). Improving Transfer Learning and Domain Adaptation in Smart Homes: The Role of Dynamic Domain Adaptation Layer. In IEEE (Ed.), 2024 International Conference on Frontiers of Information Technology (FIT) (pp. 1–6). Islamabad, Pakistan: IEEE. https://doi.org/10.1109/FIT63703.2024.10838396
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5315
Attaullah, H., Sanaullah, S., & Jungeblut, T. (2024). FL-DL: Fuzzy Logic with Deep Learning, Hybrid Anomaly Detection and Activity Prediction in Smart Homes Data-Sets. In 2024 IEEE 24th International Symposium on Computational Intelligence and Informatics (CINTI) (pp. 43–48). Budapest, Hungary: IEEE. https://doi.org/10.1109/CINTI63048.2024.10830825
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5098
Sanaullah, S., Attaullah, H., & 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, & H. Niu (Eds.), Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI (pp. 50–53). New York, NY, USA: ACM. https://doi.org/10.1145/3681780.3697244
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5096
Sanaullah, S., Attaullah, H., & Jungeblut, T. (2024). Trade-offs Between Privacy and Performance in Encrypted Dataset using Machine Learning Models. In U. Kuhl & DataNinja.nrw (Eds.), Proceedings of the sAIOnARA Conference. Bielefeld: DataNinja sAIOnARA Conference. https://doi.org/10.11576/DATANINJA-1166
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 4997 |
Attaullah, H., Sanaullah, S., & Jungeblut, T. (2024). Analyzing Machine Learning Models for Activity Recognition Using Homomorphically Encrypted Real-World Smart Home Datasets: A Case Study. Applied Sciences, 14(19). https://doi.org/10.3390/app14199047
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 4811
Sanaullah, S., Attaullah, H., & Jungeblut, T. (2024). The Next-Gen Interactive Runtime Simulator for Neural Network Programming. In E. Söderberg & L. Church (Eds.), Companion Proceedings of the 8th International Conference on the Art, Science, and Engineering of Programming (pp. 8–10). New York, NY, USA: ACM. https://doi.org/10.1145/3660829.3660833
HSBI-PUB
| DOI
2023 | Artikel | FH-PUB-ID: 4801
Kanwal, T., Attaullah, H., Anjum, A., Khan, A., & Jeon, G. (2023). Fuzz-classification (p, l)-Angel: An enhanced hybrid artificial intelligence based fuzzy logic for multiple sensitive attributes against privacy breaches. Digital Communications and Networks, 9(5), 1131–1140. https://doi.org/10.1016/j.dcan.2022.09.025
HSBI-PUB
| DOI
2022 | Artikel | FH-PUB-ID: 4802
Attaullah, H., Kanwal, T., Anjum, A., Ahmed, G., Khan, S., Rawat, D. B., & Khan, R. (2022). Fuzzy-Logic-Based Privacy-Aware Dynamic Release of IoT-Enabled Healthcare Data. IEEE Internet of Things Journal, 9(6), 4411–4420. https://doi.org/10.1109/JIOT.2021.3103939
HSBI-PUB
| DOI
2021 | Artikel | FH-PUB-ID: 4803
Attaullah, H., Anjum, A., Kanwal, T., Malik, S. U. R., Asheralieva, A., Malik, H., … Imran, M. A. (2021). F-Classify: Fuzzy Rule Based Classification Method for Privacy Preservation of Multiple Sensitive Attributes. Sensors, 21(14). https://doi.org/10.3390/s21144933
HSBI-PUB
| DOI
2014 | Artikel | FH-PUB-ID: 4804
Iqbal, M., Shafiq, M., Choi, J.-G., Attaullah, H., Akram, K., & Wang, X. (2014). Design and Analysis of a Novel Hybrid Wireless Mesh Network Routing Protocol. International Journal of Adaptive, Resilient and Autonomic Systems, 5(3), 20–39. https://doi.org/10.4018/ijaras.2014070102
HSBI-PUB
| DOI
2009 | Artikel | FH-PUB-ID: 4805
Attaullah, H., & Javed, M. Y. (2009). QoS based Vertical handover between UMTS, WiFi and WiMAX Networks. Journal of Convergence Information Technology, 4(3), 59–64. https://doi.org/10.4156/jcit.vol4.issue3.8
HSBI-PUB
| DOI
2008 | Konferenzbeitrag | FH-PUB-ID: 4806
Attaullah, H., Iqbal, F., & Javed, M. Y. (2008). Intelligent vertical handover decision model to improve QoS. In A. Abraham (Ed.), 2008 Third International Conference on Digital Information Management (pp. 119–124). London, United Kingdom: IEEE. https://doi.org/10.1109/ICDIM.2008.4746775
HSBI-PUB
| DOI