Items where Research Group is "Data Science and AI

Group by: Creators | Item Type | Status | No Grouping
Number of items: 7.

Article

Junaid, Malik, Hassan, Algarni, Fahad and Ullah, Insaf (2026) Post-Quantum Protected Federated Learning with Explainable and Adaptive Intelligence for Smart City Transportation. Internet of Things. ISSN 2542-6605 (In Press)

Liza, Farhana Ferdousi (2026) Beyond Detection: An Epistemic Limit of Purely Computational Misinformation Defense. Companion Proceedings of the ACM Web Conference 2026. pp. 1-9. (In Press)

Xi, Lin, Ma, YingLiang and Zhuang, Xiahai (2026) Few-Shot Video Object Segmentation in X-Ray Angiography Using Local Matching and Spatio-Temporal Consistency Loss. Neural Networks. ISSN 0893-6080 (In Press)

Xi, Lin, Ma, Yingliang and Zhuang, Xiahai (2026) Few-Shot Video Object Segmentation in X-Ray Angiography Using Local Matching and Spatio-Temporal Consistency Loss.

Zeng, Yangyan, Yu, Shen, Deng, Gaoyi, Yang, Yi, Liang, Wei, Zhang, Xu, Deen, M. Jamal and Zhou, Xiaokang (2026) Generative Spatio-Temporal Graph Network for Long-Range Urban Mobility Prediction. IEEE Transactions on Consumer Electronics. ISSN 0098-3063

Book Section

Malik, Hassan, Shah, Syed Tariq, Haider, Syed Kamran, Shawky, Mahmoud A. and Ullah, Insaf (2026) A Sustainable and Intelligent Unified LPWAN-as-a-Service Framework for 6G IoT Using RedCap. In: IEEE Wireless Communications and Networking Conference 2026. The Institute of Electrical and Electronics Engineers (IEEE), Kuala Lumpur. (In Press)

Xi, Lin, Ma, Yingliang, Wang, Cheng, Howell, Sandra, Rinaldi, Aldo and Rhode, Kawal S. (2026) Robust Noisy Pseudo-Label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model. In: Deep Generative Models. Lecture Notes in Computer Science . Springer, pp. 12-23. ISBN 978-3-032-05471-5

This list was generated on Tue Mar 31 11:23:51 2026 UTC.