The advancement of artificial intelligence (AI) algorithms has opened new possibilities for the development of robots that ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
ABSTRACT: To improve the efficiency of air quality analysis and the accuracy of predictions, this paper proposes a composite method based on Vector Autoregressive (VAR) and Random Forest (RF) models.
Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...
Objective: To explore the key predictors of physical activity (PA) levels of Chinese university students, and to analyse the predictive roles of different variables and their relative importance by ...
In this study, multi-source remote sensing data and machine learning algorithms were used to delineate the prospect area of remote sensing geological prospecting in eastern Botswana. Landsat 8 remote ...
@IvanNardi As per our initial discussion: Is your feature request related to a problem? Please describe. Detecting malware and covert communications within encrypted traffic, especially when ...
Abstract: A printed circuit board (PCB) surface-mounted devices (SMDs) defect detection algorithm based on random forest (RF) was proposed to detect pin defects, resistor defects, and capacitor ...
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