Graphs are widely used to represent complex relationships in everyday applications such as social networks, bioinformatics, ...

This is read by an automated voice. Please report any issues or inconsistencies here. The “K-shaped economy” describes how wealthy Americans enjoy rising incomes and wealth while lower-income ...

Geeta Gandbhir’s film examines the killing of a Florida woman and “stand your ground” laws, but the issues it raises are bigger than those statutes. By Alissa Wilkinson When you purchase a ticket for ...

In this work, we focus on obtaining insights of the performances of some well-known machine learning image classification techniques (k-NN, Support Vector Machine, randomized decision tree and one ...

Abstract: The K-Nearest Neighbors (kNN) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...

Introduction: The health status of bearings is an essential prerequisite to ensure the safe and stable operation of vehicles. However, the negative impact of covariate shifts among data channels on ...

ABSTRACT: To ensure the efficient operation and timely maintenance of wind turbines, thereby enhancing energy security, it is critical to monitor the operational status of wind turbines and promptly ...

A sophisticated cyber-espionage attack used by notorious Russian advanced persistent threat (APT) Fancy Bear at the outset of the current Russia-Ukraine war demonstrates a novel attack vector that a ...

Russian state hackers APT28 (Fancy Bear/Forest Blizzard/Sofacy) breached a U.S. company through its enterprise WiFi network while being thousands of miles away, by leveraging a novel technique called ...

Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to ...