Objectives To assess indirect costs (IDC) due to lost productivity in paid/unpaid labour, stratified by sex, in a national ...
Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...
This technical note presents the Reverse Method, a novel indirect approach for estimating the global value-added tax (VAT) compliance gap. The Reverse Method leverages public datasets and a calibrated ...
This special report introduces small area estimation (SAE) as a modern approach for producing reliable, stand-level forest inventory information Small area estimation (SAE) is a set of statistical ...
Abstract: Accurate estimation of targets’ number is a crucial prerequisite for observing group target. Traditional methods estimate target number by resolving targets in the range/angle domain, but ...
Abstract: Induction motor drive systems without rotation speed sensors are already in practical use in many products. In recent years, the efficiency of induction motors has increased, and the ...
Michael Lieberman presents a classic Saturday challenge. By Caitlin Lovinger See more of our coverage in your search results.Encuentra más de nuestra cobertura en los resultados de búsqueda. Add The ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Despite its high cost, the role of treprostinil in managing ...
This study introduces an XGBoost-MICE (Multiple Imputation by Chained Equations) method for addressing missing data in mine ventilation parameters. Using historical ventilation system data from ...
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