ABSTRACT: Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of ...

The shared-nearest-neighbor-based clustering by fast search and find of density peaks (SNN-DPC) algorithm was proposed by Liu et al. [24], which redefines local density based on nearest neighbors and ...

A reader wonders what he should do about his neighbor’s bothersome behavior, including loud singing and guitar playing mornings and evenings. By Philip Galanes My neighbor across the street has ...

ABSTRACT: The objective of this work is to determine the true owner of a land—public or private—in the region of Kumasi (Ghana). For this purpose, we applied different machine learning methods to the ...

Embedding-based search outperforms traditional keyword-based methods across various domains by capturing semantic similarity using dense vector representations and approximate nearest neighbor (ANN) ...

To understand and implement the K-Nearest Neighbors (KNN) algorithm for solving classification problems using the Iris dataset. This project demonstrates data preprocessing, model training, evaluation ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Abstract: This study delves into the implementation and evaluation of the k-nearest neighbor (k-NN) algorithm, a widely used method in machine learning for classification tasks. This research examines ...

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 ...