Zobrazeno 1 - 10
of 11 954
pro vyhledávání: '"Random Forests"'
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 24, Iss , Pp 281-291 (2024)
All people have a fingerprint that is unique to them and persistent throughout life. Similarly, we propose that people have a gaitprint, a persistent walking pattern that contains unique information about an individual. To provide evidence of a uniqu
Externí odkaz:
https://doaj.org/article/3efced4b12c8420f8149e4e2dd0dae82
Autor:
Thodoris Garefalakis, Eva Michelaraki, Stella Roussou, Christos Katrakazas, Tom Brijs, George Yannis
Publikováno v:
European Transport Research Review, Vol 16, Iss 1, Pp 1-13 (2024)
Abstract Road safety is a subject of significant concern and substantially affects individuals across the globe. Thus, real-time, and post-trip interventions have gained significant importance in the past few years. This study aimed to analyze differ
Externí odkaz:
https://doaj.org/article/2aa45d841fb940108b0fa9b2d8ae2bd8
Autor:
Tomohisa Seki, Toru Takiguchi, Yu Akagi, Hiromasa Ito, Kazumi Kubota, Kana Miyake, Masafumi Okada, Yoshimasa Kawazoe
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Assessing the risk of postoperative cardiovascular events before performing non-cardiac surgery is clinically important. The current risk score systems for preoperative evaluation may not adequately represent a small subset of high-risk popu
Externí odkaz:
https://doaj.org/article/b96751a2d0a4445a9299d49a07f00d5e
Publikováno v:
Diagnostic and Prognostic Research, Vol 8, Iss 1, Pp 1-18 (2024)
Abstract Background Machine learning methods are increasingly being used to predict clinical outcomes. Optimism is the difference in model performance between derivation and validation samples. The term “data hungriness” refers to the sample size
Externí odkaz:
https://doaj.org/article/2757b5a917974bd4952970a2d5f6c368
Publikováno v:
Archives of Public Health, Vol 82, Iss 1, Pp 1-18 (2024)
Abstract Background The global surge of environmental pollution exacerbates health issues, disease incidence, and economic strain. In China, the increasing healthcare costs of the elderly population necessitate addressing this challenge as part of th
Externí odkaz:
https://doaj.org/article/bb501574c1f94c9d82fe51822102ebda
Publikováno v:
Shipin yu jixie, Vol 40, Iss 7, Pp 30-36 (2024)
[Objective] In order to compare the ability of optical characteristic parameters [absorption coefficient （μa） and approximate scattering coefficient （μ′s）] to identify adulterated tea oil and to explore the enhancement effect of the combi
Externí odkaz:
https://doaj.org/article/bc4001e50ee24c4db7bb27cafb02241b
Publikováno v:
BMC Women's Health, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Objective The aim of this study is to assess the use of machine learning methodologies in the diagnosis of endometriosis (EM). Methods This study included a total of 106 patients with EM and 203 patients with non-EM conditions (like simple c
Externí odkaz:
https://doaj.org/article/8dae5812f05f4b4e85d7d9b8bec00222
Autor:
Florian Huber, Volker Steinhage
Publikováno v:
Geomatics, Vol 4, Iss 3, Pp 286-310 (2024)
In the field of geomatics, artificial intelligence (AI) and especially machine learning (ML) are rapidly transforming the field of geomatics with respect to collecting, managing, and analyzing spatial data. Feature selection as a building block in ML
Externí odkaz:
https://doaj.org/article/2d275d21a99d45dd8bbdff30cbd9daff
Publikováno v:
IET Image Processing, Vol 18, Iss 10, Pp 2754-2773 (2024)
Abstract Synthetic aperture radar (SAR) image change detection suffers from poor quality of the difference image and low detection accuracy. Hence, this paper proposes a SAR image change detection method based on a fused difference image and an optim
Externí odkaz:
https://doaj.org/article/59debded418e4281b6b6024942de5595