Zobrazeno 1 - 10
of 145
pro vyhledávání: '"Ian Cleland"'
Autor:
Yujia Lin, Liming Chen, Aftab Ali, Christopher Nugent, Ian Cleland, Rongyang Li, Jianguo Ding, Huansheng Ning
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-21 (2024)
Abstract The concept of the Human Digital Twin (HDT) has recently emerged as a new research area within the domain of digital twin technology. HDT refers to the replica of a physical-world human in the digital world. Currently, research on HDT is sti
Externí odkaz:
https://doaj.org/article/3ccc4c8a93a849039bb87dca2dba679c
Publikováno v:
IEEE Access, Vol 12, Pp 409-419 (2024)
Heterogeneous cross-project defect prediction (HCPDP) aims to predict defects in new software projects using defect data from previous software projects where the source and target projects have some different metrics. Most existing methods only find
Externí odkaz:
https://doaj.org/article/84df7951b9ab49d1ad214ca4b706ab51
Publikováno v:
Intelligent Systems with Applications, Vol 18, Iss , Pp 200215- (2023)
Computer networks form much of the infrastructure supporting day-to-day life in this digital age. Computer networks, however, are prone to attack and therefore require intrusion detection systems. Intrusion detection systems provide a mechanism to de
Externí odkaz:
https://doaj.org/article/2799e704fd174102a385d9244ad5243d
Autor:
Kairen McCloy, Ciara Hughes, Lynn Dunwoody, Joanne Marley, Ian Cleland, Federico Cruciani, Catherine Saunders, Jackie Gracey
Publikováno v:
PLoS ONE, Vol 18, Iss 10, p e0278252 (2023)
BackgroundIn 2020 Globocan reported nearly 1.4 million new cases of gynaecology cancer worldwide. Cancer related fatigue has been identified as a symptom that can be present for gynaecology cancer patients many years after treatment. The current evid
Externí odkaz:
https://doaj.org/article/3dd9249a88544c059d235a7911446f41
Autor:
Federico Cruciani, Chris D. Nugent, Javier Medina Quero, Ian Cleland, Paul Mccullagh, Kare Synnes, Josef Hallberg
Publikováno v:
IEEE Access, Vol 8, Pp 207794-207804 (2020)
Smartphone-based approaches for Human Activity Recognition have become prevalent in recent years. Despite the amount of research undertaken in the field, issues such as cross-subject variability are still posing an obstacle to the deployment of solut
Externí odkaz:
https://doaj.org/article/20310b0d40894a13b6ce08180680df46
Autor:
Matias Garcia-Constantino, Claire Orr, Jonathan Synnott, Colin Shewell, Andrew Ennis, Ian Cleland, Chris Nugent, Joseph Rafferty, Gareth Morrison, Leona Larkham, Sharon McIlroy, Andrea Selby
Publikováno v:
Frontiers in Digital Health, Vol 3 (2021)
There is a global challenge related to the increasing number of People with Dementia (PwD) and the diminishing capacity of governments, health systems, and caregivers to provide the best care for them. Cost-effective technology solutions that enable
Externí odkaz:
https://doaj.org/article/e2b0ba2413984c9faed04330c8007d29
Publikováno v:
Frontiers in Digital Health, Vol 3 (2021)
Objectives: To describe and critique a systematic multidisciplinary approach to user engagement, and selection and evaluation of sensor technologies for development of a sensor-based Digital Toolkit for assessment of movement in children with cerebra
Externí odkaz:
https://doaj.org/article/d344639c81674ac8965515c0abaf3bf1
Autor:
Miguel Ortiz-Barrios, Eric Järpe, Matías García-Constantino, Ian Cleland, Chris Nugent, Sebastián Arias-Fonseca, Natalia Jaramillo-Rueda
Publikováno v:
Sensors, Vol 22, Iss 14, p 5410 (2022)
The accurate recognition of activities is fundamental for following up on the health progress of people with dementia (PwD), thereby supporting subsequent diagnosis and treatments. When monitoring the activities of daily living (ADLs), it is feasible
Externí odkaz:
https://doaj.org/article/d46bb34b277546cc92dd2db4d9f8c086
Autor:
Joseph Rafferty, Jonathan Synnott, Chris D. Nugent, Andrew Ennis, Philip A. Catherwood, Ian Mcchesney, Ian Cleland, Sally Mcclean
Publikováno v:
IEEE Access, Vol 6, Pp 45473-45484 (2018)
Research interests spanning numerous domains increasingly rely upon computational systems which can store and process a large volume of variable data that is stored at high velocity-representing a big data problem. This is particularly notable within
Externí odkaz:
https://doaj.org/article/50a31f1b76c0443cb8b55a7db8624073
Autor:
Netzahualcoyotl Hernandez, Matias Garcia-Constantino, Jessica Beltran, Pascal Hecker, Jesus Favela, Joseph Rafferty, Ian Cleland, Hussein Lopez, Bert Arnrich, Ian McChesney
Publikováno v:
EAI Endorsed Transactions on Pervasive Health and Technology, Vol 5, Iss 19 (2019)
INTRODUCTION: Dementia is a syndrome characterised by a decline in memory, language, and problem-solving thataffects the ability of patients to perform everyday activities. Patients with dementia tend to experience episodes of anxietyand remain for e
Externí odkaz:
https://doaj.org/article/89f293ced10e479aa1d0b3a1f468925d