Zobrazeno 1 - 10
of 850
pro vyhledávání: '"Smeaton, Alan F"'
Autor:
Yan, Sen, O'Connor, David J., Wang, Xiaojun, O'Connor, Noel E., Smeaton, Alan. F., Liu, Mingming
Urban pollution poses serious health risks, particularly in relation to traffic-related air pollution, which remains a major concern in many cities. Vehicle emissions contribute to respiratory and cardiovascular issues, especially for vulnerable and
Externí odkaz:
http://arxiv.org/abs/2412.13966
This paper addresses key challenges in object-centric representation learning of video. While existing approaches struggle with complex scenes, we propose a novel weakly-supervised framework that emphasises geometric understanding and leverages pre-t
Externí odkaz:
http://arxiv.org/abs/2412.12331
With the expanding use of the short-form video format in advertising, social media, entertainment, education and more, there is a need for such media to both captivate and be remembered. Video memorability indicates to us how likely a video is to be
Externí odkaz:
http://arxiv.org/abs/2411.14213
This study uses data from domestic electricity smart meters to estimate annual electricity bills for a whole year. We develop a method for back-filling data smart meter for up to six missing months for users who have less than one year of smart meter
Externí odkaz:
http://arxiv.org/abs/2412.03574
This paper presents research on enhancements to Large Language Models (LLMs) through the addition of diversity in its generated outputs. Our study introduces a configuration of multiple LLMs which demonstrates the diversities capable with a single LL
Externí odkaz:
http://arxiv.org/abs/2410.12839
Widely distributed misinformation shared across social media channels is a pressing issue that poses a significant threat to many aspects of society's well-being. Inaccurate shared information causes confusion, can adversely affect mental health, and
Externí odkaz:
http://arxiv.org/abs/2409.17637
Autor:
Smeaton, Alan F.
This position paper explores the rapid development of Foundation Models (FMs) in AI and their implications for intelligence and reasoning. It examines the characteristics of FMs, including their training on vast datasets and use of embedding spaces t
Externí odkaz:
http://arxiv.org/abs/2409.07618
Large Language Models (LLMs) have recently emerged as a focal point of research and application, driven by their unprecedented ability to understand and generate text with human-like quality. Even more recently, LLMs have been extended into multi-mod
Externí odkaz:
http://arxiv.org/abs/2404.01322
In-situ monitoring incorporating data from visual and other sensor technologies, allows the collection of extensive datasets during the Additive Manufacturing (AM) process. These datasets have potential for determining the quality of the manufactured
Externí odkaz:
http://arxiv.org/abs/2401.15448
Publikováno v:
IEEE Data Engineering Bulletin 47 (4), 18-29, 2023
Personal data includes the digital footprints that we leave behind as part of our everyday activities, both online and offline in the real world. It includes data we collect ourselves, such as from wearables, as well as the data collected by others a
Externí odkaz:
http://arxiv.org/abs/2401.05767