From snowfall totals to school closures, here are 10 numbers that explain how Sunday's snowstorm affected Connecticut.

Based on the graphic theory and improved genetic algorithm,an improved genetic algorithm to search the minimum spanning trees is given . The algorithm uses binary code to represent the problem of ...

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 ...

Introduction: Alzheimer’s disease (AD) is characterized by disrupted brain connectivity, but the network changes across disease stages remain poorly understood. This observational cross-sectional ...

Abstract: The rapid expansion of Low Earth Orbit (LEO) satellite constellations presents new challenges for maintaining efficient inter-satellite communication under dynamic network topologies.

Abstract: The minimum spanning tree clustering algorithm is known to be capable of detecting clusters with irregular boundaries. In this paper, we propose two minimum spanning tree based clustering ...

Objectives: The neural mechanism associated with impaired consciousness is not fully clear. We aim to explore the association between static and dynamic minimum spanning tree (MST) characteristics and ...

Many algorithms for point clouds require consistent orientation of normals in all points to understand where the object has inside and outside. It is not an easy task to achieve. The most famous ...

Scientists have trained an AI algorithm to count the number of flowers on fruit trees using only smartphone images. The system could predict the size of a harvest months in advance — saving farmers ...