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 ...
Abstract: The decision tree, as an efficient data structure, is commonly used to perform packet classification due to its faster classification speed. During packet classification, all packets need to ...
1 Computer Science Department, Babcock University, Ilishan-Remo, Ogun State, Nigeria. 2 Computer Science Department, Adeleke University, Ede, Osun State, Nigeria. 3 Department of Applied Mathematics, ...
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 ...
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, ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Fluorimetry, a robust analytical technique widely used for ...
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 ...
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