GitHub

EEG-Based Multiclass Attention Classification: Decoding Brain Signals with Quantum Machine Learning

Project aims to develop a quantum machine learning framework for classifying different attention states from EEG brain signals. Using quantum computing, we may be able to understand complex ...
Frontiers

Novel deep learning for multi-class classification of Alzheimer’s in disability using MRI datasets

Introduction: Alzheimer’s disease (AD) is one of the most common neurodegenerative disabilities that often leads to memory loss, confusion, difficulty in language and trouble with motor coordination.
IEEE

Deep Learning-Based Multiclass Attacks Detection and Classification in Automatic Generation Control

Abstract: This research employs the ResNet-50 deep learning model to accurately detect and classify four types of false data injection (FDI) attacks (pulse, random, ramp, and scaling) in the automatic ...
IEEE

Multiclass Classification of Malware using Machine Learning

Abstract: This work aims to classify malware into one of its nine families using multiclass classification using machine learning. Due to the rising number of malware assaults on numerous devices, ...
WealthManagement.com

Vanguard’s Multi-Class Active ETF Filing Signals Increased Cost Competition in Active Fixed Income

On June 11, 2025, Vanguard filed an application with the U.S. Securities and Exchange Commission for a multi-class active ETF structure. The filing requests approval of a structure where Vanguard can ...
GitHub

hmzi67/multiclass-classification-of-distinct-cancer-types

This project implements a complete end-to-end pipeline for analyzing RNA-Seq gene expression data to classify different cancer types. Using the PANCAN dataset from UCI Machine Learning Repository, we ...
Frontiers

Ensemble machine learning prediction accuracy: local vs. global precision and recall for multiclass grade performance of engineering students

1 Department of Computer Science and IT, IIS Deemed to be University, Jaipur, Rajasthan, India 2 Pokhara University, Pokhara, Nepal This study examines the prediction accuracy of ensemble machine ...