Zobrazeno 1 - 10
of 440
pro vyhledávání: '"Sally McClean"'
Autor:
Miguel Ortiz-Barrios, Antonella Petrillo, Sebastián Arias-Fonseca, Sally McClean, Fabio de Felice, Chris Nugent, Sheyla-Ariany Uribe-López
Publikováno v:
International Journal of Emergency Medicine, Vol 17, Iss 1, Pp 1-11 (2024)
Abstract Background Shortages of mechanical ventilation have become a constant problem in Emergency Departments (EDs), thereby affecting the timely deployment of medical interventions that counteract the severe health complications experienced during
Externí odkaz:
https://doaj.org/article/41fd1828c2864d5a824adbfd6c21585d
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:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-16 (2023)
Abstract The monitoring of human activities using simple body worn sensors is an important and emerging area of research in machine learning. The sensors capture a large amount of data in a short period of Time in a relatively un-obtrusive manner. Th
Externí odkaz:
https://doaj.org/article/1c11ea5df4ee476e9195dedeea6cc228
Autor:
Sally McClean, Lingkai Yang
Publikováno v:
Mathematics, Vol 11, Iss 24, p 5001 (2023)
Generally, these days people live longer but often with increased impairment and disabilities; therefore, they can benefit from assistive technologies. In this paper, we focus on the completion of activities of daily living (ADLs) by such patients, u
Externí odkaz:
https://doaj.org/article/0d575d0f64e541ddba24f753cd6a426e
Autor:
Rafael A. Moral, Zhi Chen, Shuai Zhang, Sally McClean, Gabriel R. Palma, Brahim Allan, Ian Kegel
Publikováno v:
IEEE Access, Vol 10, Pp 113018-113027 (2022)
Customer churn prediction is a valuable task in many industries. In telecommunications it presents great challenges, given the high dimensionality of the data, and how difficult it is to identify underlying frustration signatures, which may represent
Externí odkaz:
https://doaj.org/article/f12504d5aed640349e4a50edcf1c87f9
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2020, Iss 1, Pp 1-20 (2020)
Abstract Cooperative aerial wireless networks composed of small unmanned aerial vehicles(UAVs) are easy and fast to deploy and provide on the fly communication facilities in situations where part of the communication infrastructure is destroyed and t
Externí odkaz:
https://doaj.org/article/0072210eba3e4c458545739ef2b416a6
Autor:
Zhi Chen, Shuai Zhang, Sally McClean, Fionnuala Hart, Michael Milliken, Brahim Allan, Ian Kegel
Publikováno v:
Algorithms, Vol 16, Iss 2, p 82 (2023)
Human-Computer Interaction (HCI) research has extensively employed eye-tracking technologies in a variety of fields. Meanwhile, the ongoing development of Internet Protocol TV (IPTV) has significantly enriched the TV customer experience, which is of
Externí odkaz:
https://doaj.org/article/f665b685950d49e59b64a2fed83bf551
Autor:
Lalit Garg, Sally McClean, Brian Meenan, Maria Barton, Ken Fullerton, Sandra C. Buttigieg, Alexander Micallef
Publikováno v:
Algorithms, Vol 15, Iss 11, p 414 (2022)
The problem of hospital patients’ delayed discharge or ‘bed blocking’ has long been a challenge for healthcare managers and policymakers. It negatively affects the hospital performance metrics and has other severe consequences for the healthcar
Externí odkaz:
https://doaj.org/article/af77674e94734dbeaf1ea53644c59314
Publikováno v:
Algorithms, Vol 15, Iss 8, p 257 (2022)
A significant challenge for organisations is the timely identification of the abnormalities or deviations in their process executions. Abnormalities are generally due to missing vital aspects of a process or possession of unwanted behaviour in the pr
Externí odkaz:
https://doaj.org/article/f0053ad015874640b236b9003aadb0a9
Publikováno v:
Algorithms, Vol 15, Iss 5, p 174 (2022)
Concept drift, which refers to changes in the underlying process structure or customer behaviour over time, is inevitable in business processes, causing challenges in ensuring that the learned model is a proper representation of the new data. Due to
Externí odkaz:
https://doaj.org/article/1e8c07f18609427f9a0f44edc23673e5