News-Medical.Net

Using machine learning to identify individuals at risk for intimate partner violence

Researchers at Mass General Brigham have developed a series of artificial intelligence (AI) tools that uses machine learning to identify individuals who may be at risk for intimate partner violence ...
News-Medical.Net

Imaris 11 transforms image analysis with automated workflows and reproducible research tools

Discover how Imaris 11 streamlines image analysis with automated workflows, reproducibility tools, and powerful batch processing.

Researchers show retinal images can accurately differentiate ALS and Alzheimer's

A retinal image could help doctors quickly distinguish between similar neurodegenerative diseases, such as ALS and Alzheimer's disease, and with remarkable accuracy, according to new research ...
Tech Xplore

Hybrid AI planner turns images into robot action plans

MIT researchers have developed a generative artificial intelligence-driven approach for planning long-term visual tasks, like robot navigation, that is about twice as effective as some existing ...
Scientific Research Publishing

Efficiency of Classification Algorithms in Monitoring Land Use through Remote Sensing in Sissili Province of Burkina Faso ()

Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...
Frontiers

Traditional machine learning in biomedical image analysis: before you go too deep

Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...
Scientific Research Publishing

Liu, L. (2024) Machine Learning-Driven Corrosion Detection and Classification in Pipelines. Ph.D. Thesis, University of Wales Trinity Saint David.

ABSTRACT: Corrosion is one of the most challenging problems that affects the safety and durability of onshore pipelines. Corrosion-resistant steels play a pivotal role in ensuring long lasting ...
Visual Studio Magazine

Tsetlin Machine Binary Classification Using C#

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...
IEEE

A Novel Thermal Image-Based Metal Classification System Using Machine Learning Algorithms

Abstract: Classifying metals is an essential task in all industries to make sure the materials used in the processes are safe and meet the required standards all while enhancing operational and cost ...
BMJ

Predicting cardiovascular events from routine mammograms using machine learning

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...
IEEE

Comparison of Effectiveness of EfficientNetB0 and VGG16 Feature Extraction in Garbage Image Classification Using Machine Learning

Abstract: This study investigates the effectiveness of combining deep learning-based feature extraction with classical machine learning classifiers for the task of litter image classification, aiming ...