15 Publikationen
2025 | Konferenzbeitrag | FH-PUB-ID: 6355
H. Attaullah, C. Peters, A. Peters, and T. Jungeblut, “AI Meets Elderly Care: Mining Smart Home Data for Dementia and Depression Detection,” vol. 2. Bielefeld, pp. 38–39, 2025.
HSBI-PUB
| Dateien verfügbar
| DOI
2025 | Konferenzbeitrag | FH-PUB-ID: 6204 |
H. Attaullah, M. Halbrügge, R. Naumann, and T. Jungeblut, “Digitaler Bahnhof Minden: Künstliche Intelligenz für den Bahnhof der Zukunft,” presented at the KI@HSBI 2025 - Zukunft im Fokus, Bielefeld, 2025, no. 2, pp. 4–5.
HSBI-PUB
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 5336
H. Attaullah, A. Kiani, and T. Jungeblut, “Improving Transfer Learning and Domain Adaptation in Smart Homes: The Role of Dynamic Domain Adaptation Layer,” in 2024 International Conference on Frontiers of Information Technology (FIT), Islamabad, Pakistan, 2024, pp. 1–6.
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5315
H. Attaullah, S. Sanaullah, and T. Jungeblut, “FL-DL: Fuzzy Logic with Deep Learning, Hybrid Anomaly Detection and Activity Prediction in Smart Homes Data-Sets,” in 2024 IEEE 24th International Symposium on Computational Intelligence and Informatics (CINTI), Budapest, Hungary, 2024, pp. 43–48.
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5098
S. Sanaullah, H. Attaullah, and T. Jungeblut, “Encryption Techniques for Privacy-Preserving CNN Models: Performance and Practicality in Urban AI Applications,” in Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI, Atlanta GA USA, 2024, pp. 50–53.
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 4997 |
H. Attaullah, S. Sanaullah, and T. Jungeblut, “Analyzing Machine Learning Models for Activity Recognition Using Homomorphically Encrypted Real-World Smart Home Datasets: A Case Study,” Applied Sciences, vol. 14, no. 19, 2024.
HSBI-PUB
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| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 4811
S. Sanaullah, H. Attaullah, and T. Jungeblut, “The Next-Gen Interactive Runtime Simulator for Neural Network Programming,” in Companion Proceedings of the 8th International Conference on the Art, Science, and Engineering of Programming, Lund Sweden, 2024, pp. 8–10.
HSBI-PUB
| DOI
2023 | Artikel | FH-PUB-ID: 4801
T. Kanwal, H. Attaullah, A. Anjum, A. Khan, and G. Jeon, “Fuzz-classification (p, l)-Angel: An enhanced hybrid artificial intelligence based fuzzy logic for multiple sensitive attributes against privacy breaches,” Digital Communications and Networks, vol. 9, no. 5, pp. 1131–1140, 2023.
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15 Publikationen
2025 | Konferenzbeitrag | FH-PUB-ID: 6355
H. Attaullah, C. Peters, A. Peters, and T. Jungeblut, “AI Meets Elderly Care: Mining Smart Home Data for Dementia and Depression Detection,” vol. 2. Bielefeld, pp. 38–39, 2025.
HSBI-PUB
| Dateien verfügbar
| DOI
2025 | Konferenzbeitrag | FH-PUB-ID: 6204 |
H. Attaullah, M. Halbrügge, R. Naumann, and T. Jungeblut, “Digitaler Bahnhof Minden: Künstliche Intelligenz für den Bahnhof der Zukunft,” presented at the KI@HSBI 2025 - Zukunft im Fokus, Bielefeld, 2025, no. 2, pp. 4–5.
HSBI-PUB
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 5336
H. Attaullah, A. Kiani, and T. Jungeblut, “Improving Transfer Learning and Domain Adaptation in Smart Homes: The Role of Dynamic Domain Adaptation Layer,” in 2024 International Conference on Frontiers of Information Technology (FIT), Islamabad, Pakistan, 2024, pp. 1–6.
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5315
H. Attaullah, S. Sanaullah, and T. Jungeblut, “FL-DL: Fuzzy Logic with Deep Learning, Hybrid Anomaly Detection and Activity Prediction in Smart Homes Data-Sets,” in 2024 IEEE 24th International Symposium on Computational Intelligence and Informatics (CINTI), Budapest, Hungary, 2024, pp. 43–48.
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 5098
S. Sanaullah, H. Attaullah, and T. Jungeblut, “Encryption Techniques for Privacy-Preserving CNN Models: Performance and Practicality in Urban AI Applications,” in Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI, Atlanta GA USA, 2024, pp. 50–53.
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 4997 |
H. Attaullah, S. Sanaullah, and T. Jungeblut, “Analyzing Machine Learning Models for Activity Recognition Using Homomorphically Encrypted Real-World Smart Home Datasets: A Case Study,” Applied Sciences, vol. 14, no. 19, 2024.
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 4811
S. Sanaullah, H. Attaullah, and T. Jungeblut, “The Next-Gen Interactive Runtime Simulator for Neural Network Programming,” in Companion Proceedings of the 8th International Conference on the Art, Science, and Engineering of Programming, Lund Sweden, 2024, pp. 8–10.
HSBI-PUB
| DOI
2023 | Artikel | FH-PUB-ID: 4801
T. Kanwal, H. Attaullah, A. Anjum, A. Khan, and G. Jeon, “Fuzz-classification (p, l)-Angel: An enhanced hybrid artificial intelligence based fuzzy logic for multiple sensitive attributes against privacy breaches,” Digital Communications and Networks, vol. 9, no. 5, pp. 1131–1140, 2023.
HSBI-PUB
| DOI