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Outputs (1341)

One-Index Vector Quantization Based Adversarial Attack on Image Classification (2024)
Journal Article
Fan, H., Qin, X., Chen, S., Shum, H. P. H., & Li, M. (2024). One-Index Vector Quantization Based Adversarial Attack on Image Classification. Pattern Recognition Letters, 186, 47-56. https://doi.org/10.1016/j.patrec.2024.09.001

To improve storage and transmission, images are generally compressed. Vector quantization (VQ) is a popular compression method as it has a high compression ratio that suppresses other compression techniques. Despite this, existing adversarial attack... Read More about One-Index Vector Quantization Based Adversarial Attack on Image Classification.

Advancing Healthcare Practice and Education via Data Sharing: Demonstrating the Utility of Open Data by Training an Artificial Intelligence Model to Assess Cardiopulmonary Resuscitation Skills (2024)
Journal Article
Constable, M. D., Zhang, F. X., Conner, T., Monk, D., Rajsic, J., Ford, C., Park, L. J., Platt, A., Porteous, D., Grierson, L., & Shum, H. P. H. (in press). Advancing Healthcare Practice and Education via Data Sharing: Demonstrating the Utility of Open Data by Training an Artificial Intelligence Model to Assess Cardiopulmonary Resuscitation Skills. Advances in Health Sciences Education,

Text mining for disease surveillance in veterinary clinical data: part two, training computers to identify features in clinical text (2024)
Journal Article
Davies, H., Nenadic, G., Alfattni, G., Arguello Casteleiro, M., Al Moubayed, N., Farrell, S., Radford, A. D., & Noble, P.-J. M. (2024). Text mining for disease surveillance in veterinary clinical data: part two, training computers to identify features in clinical text. Frontiers in Veterinary Science, 11, Article 1352726. https://doi.org/10.3389/fvets.2024.1352726

In part two of this mini-series, we evaluate the range of machine-learning tools now available for application to veterinary clinical text-mining. These tools will be vital to automate extraction of information from large datasets of veterinary clini... Read More about Text mining for disease surveillance in veterinary clinical data: part two, training computers to identify features in clinical text.

Minimize BER without CSI for dynamic RIS-assisted wireless broadcast communication systems (2024)
Journal Article
Gong, B., Huang, G., & Tu, W. (2024). Minimize BER without CSI for dynamic RIS-assisted wireless broadcast communication systems. Computer Networks, 253, Article 110729. https://doi.org/10.1016/j.comnet.2024.110729

This paper studies a dynamic reconfigurable intelligent surface (RIS)-assisted broadcast communication system where a transmitter broadcasts information to multiple receivers with time-varying locations via a RIS. The goal is to min... Read More about Minimize BER without CSI for dynamic RIS-assisted wireless broadcast communication systems.

Evolutionary optimization for risk-aware heterogeneous multi-agent path planning in uncertain environments (2024)
Journal Article
Rekabi Bana, F., Krajník, T., & Arvin, F. (2024). Evolutionary optimization for risk-aware heterogeneous multi-agent path planning in uncertain environments. Frontiers in Robotics and AI, 11, Article 1375393. https://doi.org/10.3389/frobt.2024.1375393

Cooperative multi-agent systems make it possible to employ miniature robots in order to perform different experiments for data collection in wide open areas to physical interactions with test subjects in confined environments such as a hive. This pap... Read More about Evolutionary optimization for risk-aware heterogeneous multi-agent path planning in uncertain environments.

Hand gesture recognition for user-defined textual inputs and gestures (2024)
Journal Article
Wang, J., Ivrissimtzis, I., Li, Z., & Shi, L. (online). Hand gesture recognition for user-defined textual inputs and gestures. Universal Access in the Information Society, https://doi.org/10.1007/s10209-024-01139-6

Despite recent progress, hand gesture recognition, a highly regarded method of human computer interaction, still faces considerable challenges. In this paper, we address the problem of individual user style variation, which can significantly affect s... Read More about Hand gesture recognition for user-defined textual inputs and gestures.

The complexity of computing optimum labelings for temporal connectivity (2024)
Journal Article
Klobas, N., Mertzios, G. B., Molter, H., & Spirakis, P. G. (2024). The complexity of computing optimum labelings for temporal connectivity. Journal of Computer and System Sciences, 146, Article 103564. https://doi.org/10.1016/j.jcss.2024.103564

A graph is temporally connected if a strict temporal path exists from every vertex u to every other vertex v. This paper studies temporal design problems for undirected temporally connected graphs. Given a connected undirected graph G, the goal is to... Read More about The complexity of computing optimum labelings for temporal connectivity.

Geometric Features Enhanced Human-Object Interaction Detection (2024)
Journal Article
Zhu, M., Ho, E. S. L., Chen, S., Yang, L., & Shum, H. P. H. (2024). Geometric Features Enhanced Human-Object Interaction Detection. IEEE Transactions on Instrumentation and Measurement, 73, Article 5026014. https://doi.org/10.1109/TIM.2024.3427800

Cameras are essential vision instruments to capture images for pattern detection and measurement. Human–object interaction (HOI) detection is one of the most popular pattern detection approaches for captured human-centric visual scenes. Recently, Tra... Read More about Geometric Features Enhanced Human-Object Interaction Detection.