Nature

Feature Selection Techniques in Machine Learning Systems articles from across Nature Portfolio

Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...
BIOENGINEER

Image-Based Machine Learning Shows Promise in Diagnosing Cellulitis

Cellulitis is one of the most common skin infections seen in emergency departments and inpatient wards, yet it remains one of ...
AZoM

Machine Learning Improves LIBS Classification of Real Plastic Waste Under Variable Laser Conditions

Researchers used machine learning-assisted laser-induced breakdown spectroscopy (LIBS) to classify PP, PET, HDPE, and LDPE ...

New AI methods make medical image analysis more reliable

Machine learning enables computers to learn from data and use that knowledge to make predictions or decisions. In health care ...

What is Machine Learning? Mechanisms and Use Cases Explained for AI Beginners

An explanation of what machine learning is for beginners. We will clearly introduce the differences between AI and deep learning, how it works, its types, and its relationship to the work of creators.
BIOENGINEER

Machine Learning Reads Leaf Veins to Diagnose Nutrient Deficiency in Ash Gourd

A new artificial intelligence framework can spot the telltale signs of nutrient starvation in ash gourd plants directly from ...

Can you explain that 'AI'? (Series #1) The differences between AI, machine learning, deep learning, and reinforcement learning

There are many people who can 'use' AI. But there are almost no people who can explain how it works.Asking ChatGPT questions.