Zobrazeno 1 - 10
of 40 802
pro vyhledávání: '"Keogh"'
Publikováno v:
Malaysian Orthopaedic Journal, Vol 16, Iss 2, Pp 46-54 (2022)
INTRODUCTION: COVID-19 has had a significant impact on healthcare. It has forced orthopaedic surgeons to limit face- to-face patient contact. This resulted in the ad hoc creation of a virtual arthroplasty clinic (VAC) in Irish National Orthopaedic Ho
Externí odkaz:
https://doaj.org/article/3f7be7d4759243979399dd5d5c4a1a77
Publikováno v:
Administration, Vol 70, Iss 2, Pp 35-44 (2022)
Externí odkaz:
https://doaj.org/article/3f97d631b5cd4d3dbd473e6f7f306911
Autor:
Keogh Fiona
Publikováno v:
Administration, Vol 70, Iss 1, Pp 49-62 (2022)
Externí odkaz:
https://doaj.org/article/fa59788a5b7245859bdddc080e4eb06e
Autor:
Even, Sean, Martinez, Patrick S., Keogh, Cora, Gross, Oliver, Ozkan-Aydin, Yasemin, Schröder, Peter
Limbless organisms of all sizes use undulating patterns of self-deformation to locomote. Geometric mechanics, which maps deformations to motions, provides a powerful framework to formalize and investigate the theoretical properties and limitations of
Externí odkaz:
http://arxiv.org/abs/2409.10827
Autor:
Yeh, Chin-Chia Michael, Der, Audrey, Saini, Uday Singh, Lai, Vivian, Zheng, Yan, Wang, Junpeng, Dai, Xin, Zhuang, Zhongfang, Fan, Yujie, Chen, Huiyuan, Aboagye, Prince Osei, Wang, Liang, Zhang, Wei, Keogh, Eamonn
The Matrix Profile (MP), a versatile tool for time series data mining, has been shown effective in time series anomaly detection (TSAD). This paper delves into the problem of anomaly detection in multidimensional time series, a common occurrence in r
Externí odkaz:
http://arxiv.org/abs/2409.09298
Publikováno v:
Journal of Multidisciplinary Healthcare, Vol Volume 14, Pp 1819-1827 (2021)
Judy Munday,1,2 Niall Higgins,1,3 Lee Jones,1,4 Dimitrios Vagenas,4 André Van Zundert,1,5,6 Samantha Keogh1,3 1School of Nursing & Centre for Healthcare Transformation, Faculty of Health, Queensland University of Technology, Kelvin Grove, QLD, Austr
Externí odkaz:
https://doaj.org/article/d5f8db60a4b94ceea2893e6731c123a2
Autor:
Keogh Fiona
Publikováno v:
Administration, Vol 69, Iss 1, Pp 49-63 (2021)
Externí odkaz:
https://doaj.org/article/80e92a6e64ac4e53a08edf1a299ff8cb
Autor:
Der, Audrey, Yeh, Chin-Chia Michael, Dai, Xin, Chen, Huiyuan, Zheng, Yan, Fan, Yujie, Zhuang, Zhongfang, Lai, Vivian, Wang, Junpeng, Wang, Liang, Zhang, Wei, Keogh, Eamonn
Self-supervised Pretrained Models (PTMs) have demonstrated remarkable performance in computer vision and natural language processing tasks. These successes have prompted researchers to design PTMs for time series data. In our experiments, most self-s
Externí odkaz:
http://arxiv.org/abs/2408.07869
Autor:
Munday J, Higgins N, Mathew S, Dalgleish L, Batterbury AS, Burgess L, Campbell J, Delaney LJ, Griffin BR, Hughes JA, Ingleman J, Keogh S, Coyer F
Publikováno v:
Journal of Multidisciplinary Healthcare, Vol Volume 13, Pp 647-660 (2020)
Judy Munday,1– 4 Niall Higgins,1,2,5 Saira Mathew,1,2 Lizanne Dalgleish,1,2,5 Anthony S Batterbury,1,2,5 Luke Burgess,1,2,4 Jill Campbell,1,2,5 Lori J Delaney,1,2,6 Bronwyn R Griffin,1,2 James A Hughes,1,2,5 Jessica Ingleman,1,2 Samantha Keogh,1,2,
Externí odkaz:
https://doaj.org/article/d04b0df40c2e4445b1a9bb43948143ba
Autor:
Keogh Fiona
Publikováno v:
Administration, Vol 68, Iss 1, Pp 39-48 (2020)
Externí odkaz:
https://doaj.org/article/8c083b994f5b42b388e764006c4e7e8e