Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Simon Fauvel"'
Publikováno v:
Scientific Reports, Vol 6, Iss 1, Pp 1-10 (2016)
Abstract Hierarchical crowdsourcing networks (HCNs) provide a useful mechanism for social mobilization. However, spontaneous evolution of the complex resource allocation dynamics can lead to undesirable herding behaviours in which a small group of re
Externí odkaz:
https://doaj.org/article/3a2f8306e4384051a670ddd7ab355e30
An Energy Efficient Compressed Sensing Framework for the Compression of Electroencephalogram Signals
Autor:
Simon Fauvel, Rabab K. Ward
Publikováno v:
Sensors, Vol 14, Iss 1, Pp 1474-1496 (2014)
The use of wireless body sensor networks is gaining popularity in monitoring and communicating information about a person’s health. In such applications, the amount of data transmitted by the sensor node should be minimized. This is because the ene
Externí odkaz:
https://doaj.org/article/94406fdce4524bb6a3104b84bb7e3eb1
Publikováno v:
AIES
In artificial intelligence (AI) mediated workforce management systems (e.g., crowdsourcing), long-term success depends on workers accomplishing tasks productively and resting well. This dual objective can be summarized by the concept of productive la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45a35549f15ce9171e2b6e3cfe75b711
Autor:
Simon Fauvel, Jing Jih Chin, Benny Tan Toh Hsiang, Pamela Chew Oi Khuan, Cyril Leung, Zhiwei Zeng, Yang Qiu, Di Wang, Zhiqi Shen
Publikováno v:
ICCSE
Effective diagnosis of mild cognitive impairment (MCI), in many cases preceding dementia, is important in determining the efficacy of dementia treatments. Inherent in the transition from normal ageing to MCI to and then to dementia is cognitive decli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b7faade23610d1fb6bed98aa50e2d92
https://hdl.handle.net/10356/139062
https://hdl.handle.net/10356/139062
Autor:
Lei Meng, Xinjia Yu, Bo Huang, Zhiqi Shen, Y. Q. Guan, Xiaohai Tian, Simon Fauvel, Chunyan Miao, Cyril Leung
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319915203
HCI (13)
HCI (13)
Online shopping provides a convenient and diverse shopping experience. However, elderly customers are unable to leverage such benefits due to their age-related impairments or lack of computer knowledges. To solve this problem, we extend our previous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2852fba583e0769e6c7cb3adeee2aeb2
https://doi.org/10.1007/978-3-319-91521-0_14
https://doi.org/10.1007/978-3-319-91521-0_14
Publikováno v:
2017 IEEE International Conference on Agents (ICA).
The rapidly increasing elderly population in many developed and developing countries poses great challenges to elderly care systems. To alleviate the problem of a shrinking workforce to deliver elderly care, using mobile intelligent assistants to les
Publikováno v:
2017 IEEE International Conference on Agents (ICA).
Crowdsourcing workers need to properly schedule when to work and when to rest in order maintain good productivity and ensure the long-term operation of crowdsourcing systems. However, existing algorithmic crowdsourcing works largely overlook this pro
Autor:
Qiang Yang, Jun Lin, Zhiqi Shen, Chunyan Miao, Simon Fauvel, Zhengxiang Pan, Cyril Leung, Yiqiang Chen, Han Yu, Lizhen Cui
Publikováno v:
Scientific Data
Today, most endeavours require teamwork by people with diverse skills and characteristics. In managing teamwork, decisions are often made under uncertainty and resource constraints. The strategies and the effectiveness of the strategies different peo
An Energy Efficient Compressed Sensing Framework for the Compression of Electroencephalogram Signals
Autor:
Rabab K. Ward, Simon Fauvel
Publikováno v:
Sensors, Vol 14, Iss 1, Pp 1474-1496 (2014)
Sensors (Basel, Switzerland)
Sensors; Volume 14; Issue 1; Pages: 1474-1496
Sensors (Basel, Switzerland)
Sensors; Volume 14; Issue 1; Pages: 1474-1496
The use of wireless body sensor networks is gaining popularity in monitoring and communicating information about a person’s health. In such applications, the amount of data transmitted by the sensor node should be minimized. This is because the ene
Publikováno v:
ICASSP
In this paper, we propose the use of compressed sensing (CS) that is preceded by an energy-efficient, cross-product based independent component analysis (ICA) preprocessing method to efficiently compress electroencephalogram (EEG) signals in the cont