A Purdue University digital forestry team has created a computational tool to obtain and analyze urban tree inventories on ...
Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...
Urban landscapes could be cooled by up to 3.5 degrees using a QUT-developed AI-based tool that optimizes where trees and which species are planted to make cities cooler, greener and more resilient in ...
Abstract: In the current landscape, addressing missing values poses a significant challenge when dealing with real-world problems. In this work, a hybrid model, DT-GA-FLANN, is proposed to address the ...
Abstract: Early and accurate prediction of cerebral vascular accidents (CVA) is essential for timely intervention and improving patient outcomes. This study investigates various classification ...