Devdiscourse

AI-driven methods accelerate detection of pesticides in food systems

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...
Gothamist

At NYCHA’s first dog park, Bronx K-9 and human neighbors alike are making fast friends

Jose Carrion and his partner, Jenny Sanchez, took their pit bull, Duke, to the new dog park nestled in the middle of the Castle Hill Houses on Monday afternoon. It had only been two days since the ...
IEEE

K-Nearest Neighbor Algorithm Based on the Framework of Ordered Pair of Normalized Real Numbers

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 ...
GitHub

Parallel K-Nearest Neighbors Implementation

Each implementation is optimized for its respective computing paradigm while maintaining classification accuracy.
IEEE

A k-Nearest Neighbor Wind Turbine Fault Detection Method Based on Deep Metric Learning and Domain Feature Discrimination

Abstract: The reliability of wind turbines (WTs) is directly related to the safe and stable operation of wind farms. However, existing data-driven fault detection methods are challenging in coping ...
Visual Studio Magazine

Simple k-NN Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of k-nearest neighbors regression to predict a single numeric value. Compared to other machine learning ...