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- The University of QueenslandAU176 papers
- Commonwealth Scientific and Industrial Research OrganisationAU60 papers
- Data61AU42 papers
- University of OxfordGB41 papers
- ARC Centre of Excellence for Mathematical and Statistical FrontiersAU33 papers
- Macquarie UniversityAU32 papers
- Monash UniversityAU32 papers
- Australian Centre for Robotic VisionAU28 papers
- Australian National UniversityAU28 papers
- The University of SydneyAU26 papers
- UNSW SydneyAU26 papers
- University of Southern QueenslandAU23 papers
41 papers · 1 filter
Wave energy conversion by floating and submerged piezoelectric bimorph plates
Zachary J. Wegert, Ben Wilks, Ngamta Thamwattana +3
Gaining insight into the interaction between flexible piezoelectric structures and ocean waves can inform the development of compact, high-efficiency wave-energy converters that ha…
Person Recognition in Aerial Surveillance: A Decade Survey
Kien Nguyen, Feng Liu, Clinton Fookes +3
The rapid emergence of airborne platforms and imaging sensors is enabling new forms of aerial surveillance due to their unprecedented advantages in scale, mobility, deployment, and…
Just Asking Questions: Doing Our Own Research on Conspiratorial Ideation by Generative AI Chatbots
Katherine M. FitzGerald, Michelle Riedlinger, Axel Bruns +3
Interactive chat systems that build on artificial intelligence frameworks are increasingly ubiquitous and embedded into search engines, Web browsers, and operating systems, or are…
Going Places: Place Recognition in Artificial and Natural Systems
Michael Milford, Tobias Fischer
Place recognition, the ability to identify previously visited locations, is critical for both biological navigation and autonomous systems. This review synthesizes findings from ro…
Small Talk, Big Impact? LLM-based Conversational Agents to Mitigate Passive Fatigue in Conditional Automated Driving
Lewis Cockram, Yueteng Yu, Jorge Pardo +6
Passive fatigue during conditional automated driving can compromise driver readiness and safety. This paper presents findings from a test-track study with 40 participants in a real…
Exploiting biased noise in variational quantum models
Connor van Rossum, Sally Shrapnel, Riddhi Gupta
Variational quantum algorithms (VQAs) are promising tools for demonstrating quantum utility on near-term quantum hardware, with applications in optimisation, quantum simulation, an…