Abstract: The proposed system presents a system for network traffic classification that combines Apache Hadoop for processing large data with the Gradient Boosting Classifier (GBC) algorithm. The ...

This study aims to develop and validate an Gradient Boosting algorithm (XGBoost) model for predicting the risk of depression in elderly stroke patients, and simultaneously identify the key risk ...

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...

Researchers at Central South University in China have developed a new model to improve ultra-short-term photovoltaic (PV) power prediction, as detailed in their publication in Frontiers in Energy. In ...

ABSTRACT: Accurate prediction of survey response rates is essential for optimizing survey design and ensuring high-quality data collection. Traditional methods often struggle to capture the complexity ...

Technology Computing Quantum Computing Google's breakthrough 'Quantum Echoes' algorithm pushes us closer to useful quantum computing — running 13,000 times faster than on a supercomputer The new ...

Since the objective function is non-smooth, the solution is based on a \emph {\textbf {recursive greedy algorithm in top-down manner}}: \item begin with the root node, finding one feature that split ...

Abstract: The aim of the research work objective is to predict solar power generation using the Novel Gradient Boosting Regressor algorithm compared to the RANSAC Regressor algorithm to improve ...