A Purdue University digital forestry team has created a computational tool to obtain and analyze urban tree inventories on ...
Euclidean Minimum Spanning Trees using single-, sesqui-, and dual-tree Borůvka algorithms – quite fast in spaces of low intrinsic dimensionality, Minimum spanning trees with respect to mutual ...
Balabathina VN, Mishra S, Sharma M, Sharma S, Kumar P and Narayan A (2025) Comparative evaluation of fast-learning classification algorithms for urban forest tree species identification using EO-1 ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Decision-making during the early stages of research and development (R&D) should be ...
ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...
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 ...
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, ...
Abstract: This paper presents an automatic machine learning (autoML) algorithm to select a decision tree algorithm which is most suitable for the stated requirements by the user for classification.
Cancer is one of the most devastating diseases in the world. In 2023, more than 1.9 million new cancer cases and 609,820 deaths are projected to occur in the United States alone. As efforts are ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results