Zobrazeno 1 - 10 of 47 pro vyhledávání: '"Karl Hall"'
1
Akademický článek
Prediction of Customer Churn Behavior in the Telecommunication Industry Using Machine Learning Models
Autor: Victor Chang, Karl Hall, Qianwen Ariel Xu, Folakemi Ololade Amao, Meghana Ashok Ganatra, Vladlena Benson
Publikováno v: Algorithms, Vol 17, Iss 6, p 231 (2024)
Customer churn is a significant concern, and the telecommunications industry has the largest annual churn rate of any major industry at over 30%. This study examines the use of ensemble learning models to analyze and forecast customer churn in the te
Externí odkaz: https://doaj.org/article/f4f2391f016345be90f94456ed466c04
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2
Akademický článek
An assessment of machine learning models and algorithms for early prediction and diagnosis of diabetes using health indicators
Autor: Victor Chang, Meghana Ashok Ganatra, Karl Hall, Lewis Golightly, Qianwen Ariel Xu
Publikováno v: Healthcare Analytics, Vol 2, Iss , Pp 100118- (2022)
Breakthroughs in healthcare analytics can help both the doctor and the patient. Analytics in healthcare can help spot and diagnose diseases early on. Therefore, they can also be used to improve healthcare quality and patient outcomes. Machine learnin
Externí odkaz: https://doaj.org/article/1c5a022a6bab427685f2b53186758f2c
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3
Akademický článek
A review on Natural Language Processing Models for COVID-19 research
Autor: Karl Hall, Victor Chang, Chrisina Jayne
Publikováno v: Healthcare Analytics, Vol 2, Iss , Pp 100078- (2022)
This survey paper reviews Natural Language Processing Models and their use in COVID-19 research in two main areas. Firstly, a range of transformer-based biomedical pretrained language models are evaluated using the BLURB benchmark. Secondly, models u
Externí odkaz: https://doaj.org/article/cdc347ba405c4bd7aa4aca03cedd9a58
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4
Akademický článek
A Survey on Intrusion Detection Systems for Fog and Cloud Computing
Autor: Victor Chang, Lewis Golightly, Paolo Modesti, Qianwen Ariel Xu, Le Minh Thao Doan, Karl Hall, Sreeja Boddu, Anna Kobusińska
Publikováno v: Future Internet, Vol 14, Iss 3, p 89 (2022)
The rapid advancement of internet technologies has dramatically increased the number of connected devices. This has created a huge attack surface that requires the deployment of effective and practical countermeasures to protect network infrastructur
Externí odkaz: https://doaj.org/article/0f6d1c91ca4246f6931e2b1fd1b08697
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