Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Gangani D"'
Autor:
N.D. Wimalagunarathna, Gangani Dharmarathne, I.U. Ekanayake, Upaka Rathanayake, Janaka Alwatugoda, D.P.P. Meddage
Publikováno v:
Case Studies in Chemical and Environmental Engineering, Vol 10, Iss , Pp 100919- (2024)
Freshwater salinisation and alkalinisation strongly depend on human and natural factors. We used an explainable machine learning approach to investigate the impact of natural and human factors on the salinity and alkalinity in rivers in the United St
Externí odkaz:
https://doaj.org/article/103dc5dcf9214de4a5ac086fe2261538
Autor:
Loren E. Smith, Jun Yang, Leah Goodman, Xinqi Huang, Rong Huang, James Dressman, Jamie Morris, R. A. Gangani D. Silva, W. Sean Davidson, Giorgio Cavigiolio
Publikováno v:
Journal of Lipid Research, Vol 53, Iss 8, Pp 1708-1715 (2012)
Recombinant expression systems have become powerful tools for understanding the structure and function of proteins, including the apolipoproteins that comprise human HDL. However, human apolipoprotein (apo)A-II has proven difficult to produce by reco
Externí odkaz:
https://doaj.org/article/93d182fbdc2a450cb9cc608277ac48e8
Autor:
Silva, R. A. Gangani D., Huang, Rong, Morris, Jamie, Fang, Jianwen, Gracheva, Elena O., Ren, Gang, Kontush, Anatol, Jerome, W. Gray, Rye, Kerry-Anne, Davidson, W. Sean
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2008 Aug . 105(34), 12176-12181.
Externí odkaz:
https://www.jstor.org/stable/25463833
Publikováno v:
Intelligent Systems with Applications, Vol 23, Iss , Pp 200428- (2024)
Conventional machine learning techniques in diagnosing cardiovascular disease have a limitation owing to the lack of interpretability of models. This study utilised an explainable machine learning approach to predict the likelihood of having CVD. Fou
Externí odkaz:
https://doaj.org/article/5659dd1738c94fecb4ad3f40fa08a96f
Publikováno v:
Microorganisms, Vol 12, Iss 11, p 2246 (2024)
Cardiovascular diseases (CVDs) are a leading cause of widespread morbidity and mortality. It has been found that the gut and oral microbiomes differ in individuals with CVDs compared to healthy individuals. Patients with CVDs often require long-term
Externí odkaz:
https://doaj.org/article/d9a029698b5746afa29bd8a2c2bd2172
Akademický článek
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Publikováno v:
Results in Engineering, Vol 22, Iss , Pp 102123- (2024)
Climate change is a serious global issue causing more extreme weather patterns, resulting in more frequent and severe events like urban flooding. This review explores the connection between climate change and urban flooding, offering statistical, sci
Externí odkaz:
https://doaj.org/article/a2730f0e52014e1b92b339c5d4918368
Autor:
Gangani Dharmarathne, Madhusha Bogahawaththa, Marion McAfee, Upaka Rathnayake, D.P.P. Meddage
Publikováno v:
Intelligent Systems with Applications, Vol 22, Iss , Pp 200397- (2024)
Chronic Kidney Disease (CKD) is increasingly recognised as a major health concern due to its rising prevalence. The average survival period without functioning kidneys is typically limited to approximately 18 days, creating a significant need for kid
Externí odkaz:
https://doaj.org/article/67c9ed4ae3674ade891af612ab03c713
Autor:
Gangani Dharmarathne, Thilini N. Jayasinghe, Madhusha Bogahawaththa, D.P.P. Meddage, Upaka Rathnayake
Publikováno v:
Healthcare Analytics, Vol 5, Iss , Pp 100301- (2024)
This study introduces the first-ever self-explanatory interface for diagnosing diabetes patients using machine learning. We propose four classification models (Decision Tree (DT), K-nearest Neighbor (KNN), Support Vector Classification (SVC), and Ext
Externí odkaz:
https://doaj.org/article/065e628a15c94b4896634217032c474b
Akademický článek
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