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Machine-learning analysis reclassifies armed conflicts into three new archetypes

There is often no straightforward explanation for the various types of violence that occur around the world. In fact, even ...
Beebom

AI vs Machine Learning: What is the Difference?

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
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, ...
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 ...
Scientific Research Publishing

An Evaluation of Machine Learning Models for Threat Classification in IoT Devices ()

1 Center for Cyberspace Studies, Nasarawa State University, Keffi, Nigeria. 2 Department of Computer Engineering, Nile University of Nigeria, Abuja, Nigeria. 3 Department of Public and International ...