AI helps find trees in a forest: Researchers achieve 3D forest reconstruction from remote sensing data

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...
Quality Assurance

FDA Releases Decision Tree to Screen Toxicity of Chemicals in Food

The U.S. Food and Drug Administration (FDA) released its Expanded Decision Tree (EDT) chemical toxicity and risk screening tool July 30. The tool was designed to provide a consistent, systematic, ...
SciELO

COMPUTATIONAL VISION FOR TOMATO CLASSIFICATION USING A DECISION TREE ALGORITHM

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 ...
Frontiers

Two-stage DRG grouping of cerebral infarction based on comorbidity and complications classification

Background: Since 2017, cerebral infarction (CI) has become a leading cause of mortality in China, with rising treatment costs posing significant challenges to the healthcare system. The ...
EurekAlert!

3D tree reconstruction algorithm contributes to a new era of urban planning

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 ...
Futurism

Leaked Decision Tree Shows How the Government Now Decides What Is Thought Crime

Unless you’ve been living under a rock, you’re probably aware that the United States’ federal government is lurching toward an unabashed oligarchy, with the Trump administration actively cutting ...
Science Daily

Helping robots make good decisions in real time

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 ...
Scientific Research Publishing

Sun, C.H., Wang, J., Yang, F., et al. (2021) Study and Implementation of ID3 Decision Tree in Predicting Aluminum Output in Electrolytic Cells. Light Metals, No. 8, 59-62.

ABSTRACT: 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 ...