Zobrazeno 1 - 10
of 162
pro vyhledávání: '"Supervised algorithm"'
Publikováno v:
IEEE Access, Vol 12, Pp 33949-33958 (2024)
Predictive algorithms, also known as mathematical models, utilize historical data to accurately predict future outcomes. These algorithms identify patterns and relationships within the data, resulting in precise predictions. The growing importance of
Externí odkaz:
https://doaj.org/article/b7777e3fb7ab4400b38957e10d835210
A Clinical Data Analysis Based Diagnostic Systems for Heart Disease Prediction Using Ensemble Method
Publikováno v:
Big Data Mining and Analytics, Vol 6, Iss 4, Pp 513-525 (2023)
The correct diagnosis of heart disease can save lives, while the incorrect diagnosis can be lethal. The UCI machine learning heart disease dataset compares the results and analyses of various machine learning approaches, including deep learning. We u
Externí odkaz:
https://doaj.org/article/4cfdd3073dd745dfbcb99df27647ecf6
Publikováno v:
Automatika, Vol 64, Iss 4, Pp 1244-1254 (2023)
Breast cancer is a serious threat to the womankind and it leads the susceptible kinds of cancer for women. The mortality rates due to breast cancer increases every single year and the World Health Organization (WHO) aims to reduce the occurrence of b
Externí odkaz:
https://doaj.org/article/814686267115477f9246318044c7ce9f
Autor:
Md Sadique Hasan, Chad Sundberg, Hasibul Hasan, Yordan Kostov, Xudong Ge, Fow-Sen Choa, Govind Rao
Publikováno v:
IEEE Access, Vol 11, Pp 86112-86121 (2023)
Rapid and sensitive bioburden detection is of paramount importance in different applications including public health, and food and water safety. To overcome the traditional limitations of bacterial detection i.e., lengthy culture time, and complicate
Externí odkaz:
https://doaj.org/article/c43414d2858649e38b54e2f1b22138a7
Publikováno v:
IEEE Access, Vol 10, Pp 102789-102803 (2022)
IoT devices handle a large amount of information including sensitive information pertaining to the deployed application. Such a scenario, makes IoT devices susceptible to various attacks. In addition to securing IoT devices, it is equally important t
Externí odkaz:
https://doaj.org/article/da1b31eea7424793bf33a9a2225bc769
Publikováno v:
Recoletos Multidisciplinary Research Journal, Vol 8, Iss 1, Pp 97-111 (2020)
The adverse effect of depression, which is a significant health problem associated with loneliness and social isolation, leads to suicidal ideation, alcohol use, cardiovascular disease, and altered brain function. Administering them with appropriate
Externí odkaz:
https://doaj.org/article/111957c32a5d495fa265d5b016614b2f
Autor:
Natalie Yoh, Tigga Kingston, Ellen McArthur, Oliver E. Aylen, Joe Chun-Chia Huang, Emy Ritta Jinggong, Faisal Ali Anwarali Khan, Benjamin P.Y.H. Lee, Simon L. Mitchell, Jake E. Bicknell, Matthew J. Struebig
Publikováno v:
Ecological Indicators, Vol 136, Iss , Pp 108696- (2022)
Bats comprise a quarter of all mammal species, provide key ecosystem services and serve as effective bioindicators. Automated methods for classifying echolocation calls of free-flying bats are useful for monitoring but are not widely used in the trop
Externí odkaz:
https://doaj.org/article/e53433c168c84f23afe8950e794e62e5
Publikováno v:
Applied Sciences, Vol 13, Iss 4, p 2109 (2023)
In recent years, the application of federated learning to medical image classification has received much attention and achieved some results in the study of semi-supervised problems, but there are problems such as the lack of thorough study of labele
Externí odkaz:
https://doaj.org/article/edc399a814ca49f3aae7029c96842622
Autor:
Josefa Díaz Álvarez, Jordi A. Matias-Guiu, María Nieves Cabrera-Martín, José L. Risco-Martín, José L. Ayala
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-12 (2019)
Abstract Background The analysis of health and medical data is crucial for improving the diagnosis precision, treatments and prevention. In this field, machine learning techniques play a key role. However, the amount of health data acquired from digi
Externí odkaz:
https://doaj.org/article/5fa57f4d30e740a5bf809be4ccaaf250
Publikováno v:
IEEE Access, Vol 7, Pp 74017-74028 (2019)
Over the past few decades, a large family of subspace learning algorithms based on dictionary learning have been designed to provide different solutions to learn subspace feature. Most of them are unsupervised algorithms that are applied to data with
Externí odkaz:
https://doaj.org/article/e8020f65a1924f0281628d7f961f16e2