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 ...

Computer vision systems combined with machine learning techniques have demonstrated success as alternatives to empirical methods for classification and selection. This study aimed to classify tomatoes ...

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: FP-growth is a classical algorithm in frequent pattern mining, which is often used in static data mining. Some researches have been done on using FP-growth algorithm to analyze streaming ...

Researchers developed 12 algorithms to identify individuals with psychosis using England's Mental Health Services Data Set (MHSDS), with success rates aligning with national prevalence estimates and ...

Using an input image, the Tree-D Fusion creates a 3D tree model that can be used to simulate various stages of development. WEST LAFAYETTE, Ind. — Trees compete for space as they grow. A tree with ...

An innovative algorithm called Spectral Expansion Tree Search helps autonomous robotic systems make optimal choices on the move. In 2018, Google DeepMind's AlphaZero program taught itself the games of ...

Introduction: The dynamic and sophisticated nature of phishing attacks, coupled with the relatively weak anti-phishing tools, has made phishing detection a pressing challenge. In light of this, new ...