Zobrazeno 1 - 10
of 270
pro vyhledávání: '"G400 Computer Science"'
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 32:8730-8743
Cubic projection can be utilized to divide 360° images into multiple rectilinear images, with little distortion. However, the existing saliency prediction models fail to integrate semantic information of these images. In this paper, we address this
Autor:
Muhammad Naeem Akbar, Farhan Riaz, Ahmed Bilal Awan, Muhammad Attique Khan, Usman Tariq, Saad Rehman
Publikováno v:
Computers, Materials & Continua. 73:2555-2576
Human Action Recognition (HAR) is a current research topic in the field of computer vision that is based on an important application known as video surveillance. Researchers in computer vision have introduced various intelligent methods based on deep
Autor:
Xujiong Ye, Ross Clifford, Carol Duff, Stefanos Kollias, Miao Yu, Lu Zhang, Liyun Gong, Ming Zhu
Publikováno v:
Journal of Ambient Intelligence and Smart Environments. 13:373-387
In this paper, we propose a novel person specific fall detection system based on a monocular camera, which can be applied for assisting the independent living of an older adult living alone at home. A single camera covering the living area is used fo
Autor:
Sam Malins, Grazziela Figueredo, Tahseen Jilani, Yunfei Long, Jacob Andrews, Mat Rawsthorne, Cosmin Manolescu, Jeremie Clos, Fred Higton, David Waldram, Daniel Hunt, Elvira Perez Vallejos, Nima Moghaddam
Background Patient activation is defined as a patient’s confidence and perceived ability to manage their own health. Patient activation has been a consistent predictor of long-term health and care costs, particularly for people with multiple long-t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bc15606ebfee8e336842dcc6c55397c
https://eprints.lincoln.ac.uk/id/eprint/52466/1/PDF
https://eprints.lincoln.ac.uk/id/eprint/52466/1/PDF
Autor:
Swaminathan, Chittaranjan Srinivas, Kucner, Tomasz Piotr, Magnusson, Martin, Palmieri, Luigi, Molina, Sergi, Mannucci, Anna, Pecora, Federico, Lilienthal, Achim J.
Funding Information: This work has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101017274 (DARKO). Publisher Copyright: Copyright © 2022 Swaminathan, Kucner, Magnusson, Palmieri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d1311a6813dcfb2fc1f8917104f1097e
https://eprints.lincoln.ac.uk/id/eprint/52305/1/frobt-09-916153.pdf
https://eprints.lincoln.ac.uk/id/eprint/52305/1/frobt-09-916153.pdf
Electric vehicles (EVs) are increasingly becoming an environmentally-friendly option in current transportation systems thanks to reduced fossil fuel consumption and carbon emission. However, the more widespread adoption of EVs has been hampered by tw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e03c080bfea2aabf9c4cf7b480e02a07
https://eprints.gla.ac.uk/263049/1/263049.pdf
https://eprints.gla.ac.uk/263049/1/263049.pdf
Autor:
John Atanbori, Samuel Rose
Classifiers trained on disjointed classes with few labelled data points are used in one-shot learning to identify visual concepts from other classes. Recently, Siamese networks and similarity layers have been used to solve the one-shot learning probl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0c197e1c8a288e6cd17ee788c5d74c1
https://eprints.lincoln.ac.uk/id/eprint/50524/1/1-s2.0-S0925231222010529-main.pdf
https://eprints.lincoln.ac.uk/id/eprint/50524/1/1-s2.0-S0925231222010529-main.pdf
Autor:
Archie Drake, Isabel Sassoon, Panos Balatsoukas, Talya Porat, Mark Ashworth, Ellen Wright, Vasa Curcin, Martin Chapman, Nadin Kokciyan, Sanjay Modgil, Elizabeth Sklar, Simon Parsons
Publikováno v:
Drake, A, Sassoon, I, Balatsoukas, P, Porat, T, Ashworth, M, Wright, E, Curcin, V, Chapman, M, Kokciyan, N, Modgil, S, Sklar, E & Parsons, S 2022, ' The relationship of socio-demographic factors and patient attitudes to connected health technologies: A survey of stroke survivors ', Health Informatics Journal, vol. 28, no. 2 . https://doi.org/10.1177/14604582221102373
Copyright © The Author(s) 2022. More evidence is needed on technology implementation for remote monitoring and self-management across the various settings relevant to chronic conditions. This paper describes the findings of a survey designed to expl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::614e68e62299e746f6333544eb3f53e7
https://eprints.lincoln.ac.uk/id/eprint/49926/7/14604582221102373.pdf
https://eprints.lincoln.ac.uk/id/eprint/49926/7/14604582221102373.pdf
System Architecture of a Proactive Intelligent System to Monitor Health of Older Adults Living Alone
Autor:
J. Iqbal, Intisar Al-Mejibli, Salah Al-Majeed, Christofer N. Yalung, Jalal Karam, C. M. Adolfo
Publikováno v:
International Journal of Computing and Digital Systems. 10:509-517
Worldwide improvements in the quality of life highlight immense need to have a remote health monitoring system that can provide critical biomedical data. This paper presents a low-cost health monitoring system, forming part of the Internet of Things
Publikováno v:
IEEE Access, Vol 9, Pp 148721-148737 (2021)
Pheromones are chemical substances essential for communication among social insects. In the application of swarm intelligence to real micro mobile robots, the deployment of a single virtual pheromone has emerged recently as a powerful real-time metho