Zobrazeno 1 - 10 of 83 pro vyhledávání: '"Adele H, Marshall"'
1
Akademický článek
Process Mining the Performance of a Real-Time Healthcare 4.0 Systems Using Conditional Survival Models
Autor: Adele H. Marshall, Aleksandar Novakovic
Publikováno v: Algorithms, Vol 15, Iss 6, p 196 (2022)
As the world moves into the exciting age of Healthcare 4.0, it is essential that patients and clinicians have confidence and reassurance that the real-time clinical decision support systems being used throughout their care guarantee robustness and op
Externí odkaz: https://doaj.org/article/143f99c987524fb5b0d0c60a474454b7
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3
Akademický článek
Identification of Bridge Key Performance Indicators Using Survival Analysis for Future Network-Wide Structural Health Monitoring
Autor: Nicola-Ann Stevens, Myra Lydon, Adele H. Marshall, Su Taylor
Publikováno v: Sensors, Vol 20, Iss 23, p 6894 (2020)
Machine learning and statistical approaches have transformed the management of infrastructure systems such as water, energy and modern transport networks. Artificial Intelligence-based solutions allow asset owners to predict future performance and op
Externí odkaz: https://doaj.org/article/874bec22284b4de097efe56de6fae024
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5
Academic Students’ Progress Indicators and Gender Gaps Based on Survival Analysis and Data Mining Frameworks
Autor: Aglaia Kalamatianou, Adele H. Marshall, Mariangela Zenga
Publikováno v: Marshall, A H, Zenga, M & Kalamatianou, A 2020, ' Academic Students’ Progress Indicators and Gender Gaps Based on Survival Analysis and Data Mining Frameworks ', Social Indicators Research, vol. 151, no. 3, pp. 1097-1128 . https://doi.org/10.1007/s11205-020-02416-6
This paper examines gender differences according to two new indicators in higher education studies. One indicator represents the length of studies beyond the minimum requirement and the other represents a harmonised graduation mark. We explore these
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b797053edd48cfc7051a68741c387b3f
https://doi.org/10.1007/s11205-020-02416-6
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6
Understanding the barriers to NET-ZERO transport for rural roads: a Northern Ireland case study
Autor: Myra Lydon, Nicola-Ann Stevens, Su Taylor, Adele H. Marshall, Darragh Lydon, Juliana Early
Publikováno v: Lydon, M, Lydon, D, Stevens, N-A, Taylor, S, Early, J & Marshall, A H 2021, ' Understanding the barriers to NET-ZERO transport for rural roads: a Northern Ireland case study ', Journal of Infrastructure Preservation and Resilience . https://doi.org/10.1186/s43065-021-00038-x
Lydon, M, Lydon, D, Stevens, N-A, Taylor, S, Early, J & Marshall, A 2021, ' Understanding the barriers to NET-ZERO transport for rural roads: a Northern Ireland case study ', Journal of Infrastructure Preservation and Resilience, vol. 2, pp. 24 . https://doi.org/10.1186/s43065-021-00038-x
Journal of Infrastructure Preservation and Resilience, Vol 2, Iss 1, Pp 1-16 (2021)
Journal of Infrastructure Preservation and Resilience
Introduction Climate-related disasters have cost the world over £450 billion over the last 3 years. In the race to mitigate these effects, the UK government has committed to net-zero emissions by 2050. Transport provides the largest single sector co
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f2406538d9592c18f33fcefdfe36c05
https://pure.qub.ac.uk/en/publications/understanding-the-barriers-to-netzero-transport-for-rural-roads-a-northern-ireland-case-study(4ee8aa38-9707-4728-94e8-f9efdb1bd933).html
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7
Optimizing the Belfast Bike Sharing Scheme
Autor: Nadezda Demidova, Aleksandar Novakovic, Adele H. Marshall
Publikováno v: Lecture Notes in Networks and Systems ISBN: 9783030821951
IntelliSys (2)
Bike-sharing systems have been growing rapidly worldwide over the past decade. In times of high traffic, pollution concerns, and decrease of physical activity, bike-sharing perfectly meets the needs of the present. Crucial to the success of such syst
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cd854b90706b0acb86111fe85502457d
https://doi.org/10.1007/978-3-030-82196-8_43
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8
Knowledge Discovery of the Delays Experienced in Reporting COVID-19 Confirmed Positive Cases Using Time to Event Models
Autor: Carolyn McGregor, Adele H. Marshall, Aleksandar Novakovic
Publikováno v: Discovery Science ISBN: 9783030889418
DS
Survival analysis techniques model the time to an event where the event of interest traditionally is recovery or death from a disease. The distribution of survival data is generally highly skewed in nature and characteristically can include patients
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27f5776bb6974b5803b22dc433571b5e
https://doi.org/10.1007/978-3-030-88942-5_14
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9
Introducing a Conceptual Framework for Architecting Healthcare 4.0 Systems
Autor: Aleksandar Novakovic, Carolyn McGregor, Adele H. Marshall
Publikováno v: Advances in Computer Vision and Computational Biology ISBN: 9783030710507
There is an enormous number of healthcare analytics applications in existence which have been embedded into healthcare systems with varying degrees of success. One of the key challenges is their need for access to sensitive patient data in a healthca
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::53383f0570e5e30f8261a8e8325d5e84
https://doi.org/10.1007/978-3-030-71051-4_45
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10
Identification of Bridge Key Performance Indicators Using Survival Analysis for Future Network-Wide Structural Health Monitoring
Autor: Su Taylor, Nicola-Ann Stevens, Myra Lydon, Adele H. Marshall
Publikováno v: Stevens, N-A, Lydon, M, Marshall, A H & Taylor, S 2020, ' Identification of Bridge Key Performance Indicators Using Survival Analysis for Future Network-Wide Structural Health Monitoring ', Sensors (Basel, Switzerland), vol. 20, no. 23, 6894 . https://doi.org/10.3390/s20236894
Sensors
Volume 20
Issue 23
Sensors, Vol 20, Iss 6894, p 6894 (2020)
Sensors (Basel, Switzerland)
Machine learning and statistical approaches have transformed the management of infrastructure systems such as water, energy and modern transport networks. Artificial Intelligence-based solutions allow asset owners to predict future performance and op
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::483aaf253a8de2e818552b87a6cf6fe1
https://pure.qub.ac.uk/en/publications/identification-of-bridge-key-performance-indicators-using-survival-analysis-for-future-networkwide-structural-health-monitoring(c68137e1-cf6d-4f75-a8cc-05a059231146).html
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