A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
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: Early and accurate prediction of cerebral vascular accidents (CVA) is essential for timely intervention and improving patient outcomes. This study investigates various classification ...
Abstract: In this study high spatial resolution (1 m) hyperspectral images and LiDAR data (8p/m 2) was applied to discriminate among tree species of mixed forest. The main objective of this study was ...