The classification of animal groups is essential to the development of modern biology—but it's extremely complicated. Trying to shoehorn the messy, complicated web of interrelationships that is ...

Nowadays, these cult classic horror movies aren't so hard to find. But in the '80s, watching an uncut version could have ...

Robin Erickson has been covering high school sports since 2023 after graduating from Carroll College with a degree in Health Sciences. He began working in data operations at High School On SI before ...

Introduction: Accurate identification of forest tree species is essential for sustainable forest management, biodiversity assessment, and environmental monitoring. Urban forests, in particular, ...

This is a code repository for our paper Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks During the last two decades, forest monitoring and ...

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 ...

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...

Abstract: This paper presents nonlinear optimal classification trees, an advanced approach developed to enhance the accuracy and interpretability of classification trees. By integrating kernel-based ...