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 recent years, with the frequent occurrence of global forest fires, fire prevention and control technology has become crucial. The advancement of artificial intelligence technology has provided ...
@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 ...
The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...
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 ...
On Wednesday, a New York-based app developer named Isaac Gemal debuted a new site called WikiTok, where users can vertically swipe through an endless stream of Wikipedia article stubs in a manner ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...
Abstract: This paper presents an coordinates system tackling machine learning (ML) strategies to improve rural efficiency and maintainability. It presents a novel Edit Choice Strategy (CSM) pointed at ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback