The TreeScanPL10K dataset provides over 10,000 annotated TLS point clouds, advancing precision forestry and ecological ...

Abstract: This research aims to study, design, and develop a brain tumor classification system using artificial intelligence, specifically decision tree algorithms. The system's primary objective is ...

This paper first discusses the storage structure of trees, selects a convenient storage method for solving the nullity of trees, and then applies the relationship between the maximum matching number ...

Physical frailty is a pressing public health issue that significantly increases the risk of disability, hospitalization, and mortality. Early and accurate detection of frailty is essential for timely ...

Abstract: This study aims to classify anxiety disorders in adolescents using three machine learning algorithms, namely naive bayes, C4.5, and K-Nearest Neighbor (K-NN). The data used was taken from ...

The proposed method integrates Discrete Wavelet Transformation (DWT) and Independent Component Analysis (ICA) for noise removal, followed by a robust Kalman filter enhanced with convex optimization to ...

Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision tree, ...

They play an essential role in supporting life on Earth, but many species are in decline, researchers found. By Catrin Einhorn Reporting from the United Nations Biodiversity Conference in Cali, ...

Moreover, all of then are available ready to use in this framework under the folder src/ml_datasets. The datasets employed are the following, and more information about how to load them is presented ...