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Outputs (3144)

Comparing width parameters on graph classes (2025)
Journal Article
Brettell, N., Munaro, A., Paulusma, D., & Yang, S. (2025). Comparing width parameters on graph classes. European Journal of Combinatorics, 127, Article 104163. https://doi.org/10.1016/j.ejc.2025.104163

We study how the relationship between non-equivalent width parameters changes once we restrict to some special graph class. As width parameters we consider treewidth, clique-width, twin-width, mim-width, sim-width and tree-independence number, wherea... Read More about Comparing width parameters on graph classes.

A study on the impact of different components of a traditional webcam-based 2D gaze tracking algorithm (2025)
Journal Article
Blakey, W., Katsigiannis, S., & Ramzan, N. (2025). A study on the impact of different components of a traditional webcam-based 2D gaze tracking algorithm. IEEE Sensors Journal, 25(12), 22151-22164. https://doi.org/10.1109/JSEN.2025.3564397

Webcam-based 2D gaze tracking algorithms are lightweight and are becoming increasingly used in the fields of medicine, market research and many others. As they become increasingly used, it becomes vital to break down their components to understand th... Read More about A study on the impact of different components of a traditional webcam-based 2D gaze tracking algorithm.

Too important to be left to the Generals: The Politics of the Western Front (2025)
Book Chapter
Johnson, M. (in press). Too important to be left to the Generals: The Politics of the Western Front. In The Cambridge Companion to the Western Front. Cambridge University Press

‘War is too important to be left to the generals.’ This aphorism, commonly attributed to the French Premier Georges Clemenceau, captures one of the most significant dilemmas to confront the states that went to war in the summer of 1914: should the pr... Read More about Too important to be left to the Generals: The Politics of the Western Front.

Coordination Mechanisms in AI Development: Practitioner Experiences on Integrating UX Activities (2025)
Presentation / Conference Contribution
Bruun, A., Van Berkel, N., Raptis, D., & Law, E. L.-C. (2025, April). Coordination Mechanisms in AI Development: Practitioner Experiences on Integrating UX Activities. Presented at CHI 2025 (Conference on Human Factors in Computing Systems), Yokohama, Japan

Software development relies on collaboration and alignment between a variety of roles, including software developers and user experience designers. The increasing focus on artificial intelligence in today's development projects has given rise to new... Read More about Coordination Mechanisms in AI Development: Practitioner Experiences on Integrating UX Activities.

Shaping the Future of Fundraising with AI (2025)
Report
Herrero, M., Hook, J. D., Haworth, M., Droop, H., & Concannon, S. (2025). Shaping the Future of Fundraising with AI. Chartered Institute of Fundraising

PaintBranch: Asynchronous Collaborative Art in Virtual Reality (2025)
Presentation / Conference Contribution
David, A., Giunchi, D., James, S., Steed, A., & Esteves, A. (2025, March). PaintBranch: Asynchronous Collaborative Art in Virtual Reality. Presented at 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Saint Malo, France

We describe the development of PaintBranch, a virtual reality prototype designed to support asynchronous collaborative art. By incorporating version control (VC), PaintBranch aims to promote creative idea generation and reduce conflicts during collab... Read More about PaintBranch: Asynchronous Collaborative Art in Virtual Reality.

Deep Reinforcement Learning for Overtaking Decision-Making and Planning of Autonomous Vehicles (2025)
Presentation / Conference Contribution
Aihaiti, A., Arvin, F., & Hu, J. (2025, March). Deep Reinforcement Learning for Overtaking Decision-Making and Planning of Autonomous Vehicles. Presented at 2025 IEEE International Conference on Industrial Technology, Wuhan, China

The safe overtaking of autonomous vehicles has become an important focus in recent robotics and AI research. Considering the scenario of overtaking with oncoming vehicles, this paper proposes a hierarchical framework based on deep reinforcement learn... Read More about Deep Reinforcement Learning for Overtaking Decision-Making and Planning of Autonomous Vehicles.

A Real-Time RRT-APF Approach for Efficient Multi-Robot Navigation in Complex Environments (2025)
Presentation / Conference Contribution
Zhang, K., Zahmatkesh, M., Stefanec, M., Arvin, F., & Hu, J. (2025, March). A Real-Time RRT-APF Approach for Efficient Multi-Robot Navigation in Complex Environments. Presented at 2025 IEEE International Conference on Industrial Technology, China

This paper proposes a real-time multi-robot navigation method that integrates the Rapidly-exploring Random Tree (RRT) algorithm with the improved Artificial Potential Field (APF) approach. Since traditional path planning methods often face problems s... Read More about A Real-Time RRT-APF Approach for Efficient Multi-Robot Navigation in Complex Environments.