Organizational Norms and Work Demand as Predictors of Employees’ Perceived Productivity: Evidence from Financial Institutions in Malaysia Employee productivity remains a central concern for ...

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...

Abstract: The Level 1 (L1) brightness-temperature data from the Fengyun-3D (FY-3D) Microwave Radiation Imager (MWRI) provide an important data source for retrieving high wind speeds over ocean ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Aromatic amines are used widely in industry as chemical ...

ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...

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 ...

This lesson will be more of a code-along, where you'll walk through a multiple linear regression model using both statsmodels and scikit-learn. Recall the initial regression model presented. It ...

This repository contains the code for reproducing the findings of the paper "Continued increase in atmospheric carbon dioxide exacerbated the 2022-2024 global temperature spike." This README describes ...

Deterioration of the capillary network is a characteristic of many neurological diseases and can exacerbate neuronal dysfunction and degeneration due to poor blood perfusion. Here, we show that focal ...