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Outputs (220)

Chainlet-Based Ear Recognition Using Image Multi-Banding and Support Vector Machine (2022)
Journal Article
Zarachoff, M. M., Sheikh-Akbari, A., & Monekosso, D. (2022). Chainlet-Based Ear Recognition Using Image Multi-Banding and Support Vector Machine. Applied Sciences, 12(4), Article 2033. https://doi.org/10.3390/app12042033

This paper introduces the Chainlet-based Ear Recognition algorithm using Multi-Banding and Support Vector Machine (CERMB-SVM). The proposed technique splits the gray input image into several bands based on the intensity of its pixels, similar to a hy... Read More about Chainlet-Based Ear Recognition Using Image Multi-Banding and Support Vector Machine.

EDVAM: a 3D eye-tracking dataset for visual attention modeling in a virtual museum (2022)
Journal Article
Zhou, Y., Feng, T., Shuai, S., Li, X., Sun, L., & Duh, H. B.-L. (2022). EDVAM: a 3D eye-tracking dataset for visual attention modeling in a virtual museum. Frontiers of Information Technology & Electronic Engineering, 23(1), 101-112. https://doi.org/10.1631/fitee.2000318

Predicting visual attention facilitates an adaptive virtual museum environment and provides a context-aware and interactive user experience. Explorations toward development of a visual attention mechanism using eye-tracking data have so far been limi... Read More about EDVAM: a 3D eye-tracking dataset for visual attention modeling in a virtual museum.

On the Maximum Agreement Subtree Conjecture for Balanced Trees (2022)
Journal Article
Bordewich, M., Linz, S., Owen, M., St. John, K., Semple, C., & Wicke, K. (2022). On the Maximum Agreement Subtree Conjecture for Balanced Trees. SIAM Journal on Discrete Mathematics, 36(1), 336-354. https://doi.org/10.1137/20m1379678

We give a counterexample to the conjecture of Martin and Thatte that two balanced rooted binary leaf-labelled trees on n leaves have a maximum agreement subtree (MAST) of size at least n 1 2 . In particular, we show that for any c > 0, there exist tw... Read More about On the Maximum Agreement Subtree Conjecture for Balanced Trees.

Network Graph Generation through Adaptive Clustering and Infection Dynamics: A Step Towards Global Connectivity (2022)
Journal Article
Rahman, A. U., Fourati, F., Ngo, K.-H., Jindal, A., & Alouini, M.-S. (2022). Network Graph Generation through Adaptive Clustering and Infection Dynamics: A Step Towards Global Connectivity. IEEE Communications Letters, 26(4), 783-787. https://doi.org/10.1109/lcomm.2022.3146606

More than 40% of the world’s population is not connected to the internet, majorly due to the lack of adequate infrastructure. Our work aims to bridge this digital divide by proposing solutions for network deployment in remote areas. Specifically, a n... Read More about Network Graph Generation through Adaptive Clustering and Infection Dynamics: A Step Towards Global Connectivity.

Bio-Inspired Collision Avoidance in Swarm Systems via Deep Reinforcement Learning (2022)
Journal Article
Na, S., Niu, H., Lennox, B., & Arvin, F. (2022). Bio-Inspired Collision Avoidance in Swarm Systems via Deep Reinforcement Learning. IEEE Transactions on Vehicular Technology, 71(3), 2511-2526. https://doi.org/10.1109/tvt.2022.3145346

Autonomous vehicles have been highlighted as a major growth area for future transportation systems and the deployment of large numbers of these vehicles is expected when safety and legal challenges are overcome. To meet the necessary safety standards... Read More about Bio-Inspired Collision Avoidance in Swarm Systems via Deep Reinforcement Learning.

Decision-making under uncertainty: be aware of your priorities (2022)
Journal Article
Samin, H., Bencomo, N., & Sawyer, P. (2022). Decision-making under uncertainty: be aware of your priorities. Software and Systems Modeling, 21(6), 2213-2242. https://doi.org/10.1007/s10270-021-00956-0

Self-adaptive systems (SASs) are increasingly leveraging autonomy in their decision-making to manage uncertainty in their operating environments. A key problem with SASs is ensuring their requirements remain satisfied as they adapt. The trade-off ana... Read More about Decision-making under uncertainty: be aware of your priorities.