The Lancet

Development and validation of a generalisable machine learning algorithm for identifying ...

aDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA bDepartment of Medicine, University of California Los Angeles, Los Angeles, CA, USA cDepartment of Medicine, ...
IEEE

K-Nearest Neighbors in Machine Learning: Theory, Practice, and Advances

Abstract: K-Nearest Neighbors (KNN) is a basic model in a ML field used for classification or prediction analysis owing to its efficiency. The following paper will be a survey paper focused on ...
GitHub

干豆品种自动识别系统

本项目基于 UCI 机器学习库的 Dry Bean Dataset，利用干豆的 16 项形态学特征构建自动化的品种分类系统。原始数据包含 7 个品种共 12,264 条样本，涵盖 DERMASON、SIRA、SEKER、HOROZ、CALI、BARBUNYA 和 BOMBAY，数据中存在缺失值、格式不一致、标签变体和异常值等多类污染情况。
GitHub

Remaining Useful Life (RUL) prediction of rolling element bearings using vibration signal ...

This project predicts the Remaining Useful Life (RUL) of industrial bearings using vibration signal analysis and machine learning. Unlike common bearing fault detection projects that use artificially ...
IEEE

Early Prediction of Parkinson's Disease with Machine Learning: A KNN Approach

Abstract: Parkinson's disease is a degenerative condition of the nervous system that significantly affects the quality of life of many people. Most of these disorders impact human motor functions.