C&EN

Illuminating the Interface of Blocc Chemistry and Data Science: An Introduction to K-Nearest Neighbor Analysis and K-Medoids Clustering

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The discovery of functional small molecules, chemical matter ...
EurekAlert!

Transforming acute exacerbations of chronic obstructivepulmonary disease (AECOPD) risk assessment: Amulti-algorithm machine learning approach for preciseclinical phenotyping

The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...
IEEE

Quantum k-Nearest Neighbour Classifier: Investigating Hybrid Feature map approach in Quantum Machine Learning utilizing Pennylane

Abstract: The k-nearest neighbor algorithm (k-NN) is a straightforward and highly effective classical machine learning method that categorises unidentified test instances by identifying the k-nearest ...
Lexington Herald Leader

Judge orders receivership for troubled Uncle Nearest whiskey distillery

Federal judge orders receivership of Uncle Nearest due to $108M loan default. Court cites $24M in misrepresented inventory as key risk to loan security. Weavers may stay involved in brand marketing to ...
Science Daily

Machine learning algorithm brings long-read sequencing to the clinic

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...
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 ...
Scientific Research Publishing

Chattopadhyay, A., Bisariya, S. and Sutrakar, V.K. (2025) Identification of Hardware Trojan Locations in Gate-Level Netlist Using Nearest Neighbour Approach Integrated with ...

ABSTRACT: Once, discreet circuit elements, called components, were heaped up on boards inside steel cages using wire-lead technology in just five short years. Fast forward to today, and your computer ...
Frontiers

Fault diagnosis algorithm based on multi-channel neighbor feature convolutional network

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 ...
BMJ

Prediction of zero-dose children using supervised machine learning algorithm in Tanzania: evidence from the recent 2022 Tanzania Demographic and Health Survey

Objectives This study aimed to employ machine learning algorithms to predict the factors contributing to zero-dose children in Tanzania, using the most recent nationally representative data. Design ...