IEEE

Optimizing Edge Computing Usability with Random Forest Algorithms

Abstract: This study convincingly demonstrates the immense potential of Random Forest algorithms to significantly enhance usability in edge computing environments by concentrating on critical ...
IEEE

A Random Forest Algorithm for PCB SMD Defect Detection

Abstract: A printed circuit board (PCB) surface-mounted devices (SMDs) defect detection algorithm based on random forest (RF) was proposed to detect pin defects, resistor defects, and capacitor ...
Frontiers

HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers

1 Analytics Department, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India 2 Department of Data Science, School of Computer Science and Engineering ...
GitHub

Heart Disease Classification using Machine Learning Algorithms (SVM, MLP, Random Forest) for Medical Diagnosis

There was an error while loading. Please reload this page. This project focuses on developing and evaluating machine learning models to classify individuals into ...