Tech Xplore

HarmonyGNN boosts graph AI accuracy on four tough benchmarks by up to 9.6%

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...
Journal of Medical Internet Research

Diabetic Foot Ulcer Classification Models Using Artificial Intelligence and Machine Learning Techniques: Systematic Review

No system was recommended for individual prognostication, and the group considered that more detail in ulcer characterization was needed and that machine learning (ML)–based models may be the solution ...

From LLMs to hallucinations, here’s a simple guide to common AI terms

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...
IEEE

Weak–Strong Graph Contrastive Learning Neural Network for Hyperspectral Image Classification

Abstract: Deep learning methods have shown promising results in various hyperspectral image (HSI) analysis tasks. Despite these advancements, existing models still struggle to accurately identify fine ...
IEEE

A Robust Multi-Class Obesity Classification and Risk Analysis System by Leveraging the Potentiality of Machine Learning Techniques

Abstract: Obesity, a significant global health issue, is linked to numerous multifactorial inherited conditions, including cardiovascular disease, hypertension, diabetes, and various other serious ...