Zobrazeno 1 - 10
of 413
pro vyhledávání: '"R-squared"'
Publikováno v:
Anti-Corrosion Methods and Materials, 2024, Vol. 71, Issue 6, pp. 719-732.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ACMM-04-2024-3007
Autor:
Syed Azeem Inam, Abdullah Ayub Khan, Tehseen Mazhar, Noor Ahmed, Tariq Shahzad, Muhammad Amir Khan, Mamoon M. Saeed, Habib Hamam
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-22 (2024)
Abstract The atmosphere’s fine articulate Matter (PM2.5) poses various health-related risks. Even though multiple efforts have been made to lower the emissions of these substances, the mortality rate is continuously increasing, requiring immediate
Externí odkaz:
https://doaj.org/article/1da0f19b9f4d427199e724d55fc828a5
Publikováno v:
RUDN Journal of Engineering Research, Vol 25, Iss 2, Pp 151-161 (2024)
The work is devoted to solving the current problem of forecasting real estate prices by building a predictive model based on the generated database of real estate in Moscow, posted on the Move Real Estate website. Existing machine learning methods fo
Externí odkaz:
https://doaj.org/article/8a56af36b25b46b1b5bf13701d334dd2
Publikováno v:
BMC Medical Genomics, Vol 17, Iss 1, Pp 1-10 (2024)
Abstract Background Polygenic risk scores (PRS) quantify an individual’s genetic predisposition for different traits and are expected to play an increasingly important role in personalized medicine. A crucial challenge in clinical practice is the g
Externí odkaz:
https://doaj.org/article/1bee2a55077845c5ab46e93a295247de
Autor:
Yoshiyasu Takefuji
Publikováno v:
Hygiene and Environmental Health Advances, Vol 12, Iss , Pp 100109- (2024)
This paper demonstrates that the conclusions drawn from datasets on global temperature anomaly and atmospheric CO2 from NOAA can vary depending on the range of investigated periods. By examining the data from both macroscopic and microscopic perspect
Externí odkaz:
https://doaj.org/article/29d913a9b8e843ec947461407240628f
Publikováno v:
Human Biology and Public Health, Vol 1 (2024)
The St. Nicolas House Analysis (SNHA) is a new graph estimation method for detection of extensive interactions among variables. It operates by ranking absolute bivariate correlation coefficients in descending order thereby creating hierarchic associa
Externí odkaz:
https://doaj.org/article/d2b8a0e7430e4faa95b400c59b2fb727
Publikováno v:
Arabian Journal of Chemistry, Vol 17, Iss 3, Pp 105632- (2024)
One of the important properties of fluids is viscosity. In this research, the viscosity modeling of nano-lubricant (NLB) was done using RSM. Using the response surface methodology (RSM), several models including Cubic, Quartic, 2FI and Quadratic, mod
Externí odkaz:
https://doaj.org/article/9b858a4a8ac44e83a558b3e4d33be738
Akademický článek
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Publikováno v:
St. Petersburg Polytechnical University Journal: Physics and Mathematics, Vol 16, Iss 2 (2023)
This paper continues studies in machine learning models capabilities aimed to finding the best way to predict the values of unobservable quantities that characterize centrality, based on experimental data for observable quantities: the number of char
Externí odkaz:
https://doaj.org/article/8c40020329b34a63bad9f2a4fa19edbc
Autor:
Charles Onyutha
Publikováno v:
Hydrology Research, Vol 53, Iss 1, Pp 51-64 (2022)
Despite the advances in methods of statistical and mathematical modeling, there is considerable lack of focus on improving how to judge models’ quality. Coefficient of determination (R2) is arguably the most widely applied ‘goodness-of-fit’ met
Externí odkaz:
https://doaj.org/article/c05f512767934016b5deaad4d381b589