Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
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 ...
tech2geek

Scikit-learn: The Essential Machine Learning Library for Python

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...
EurekAlert!

Neuromorphic devices and machine learning combine to make brain-like devices possible

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...
news.bloomberglaw

Navigating a Patent Gap for AI and Machine Learning Algorithms

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...
Frontiers

Machine Learning for Medical Image Analysis

You will be redirected to our submission process. The “Machine Learning for Medical Image Analysis” Research Topic is dedicated to presentations from the 29th Conference in Medical Image Understanding ...
Frontiers

Machine learning-based prediction of diabetic peripheral neuropathy: model development and clinical validation

This study analyzed 1,544 diabetic patients from the First Affiliated Hospital of Shandong First Medical University, who were randomly divided into a training cohort (n = 1,082) and a testing cohort ...
IEEE

Integration of Image Processing and Machine Learning Technique applied in Agriculture Sector Using Python

Abstract: Image processing has emerged as a crucial technology in agriculture, facilitating tasks such as crop monitoring, disease detection, and yield estimation. Python, with its extensive libraries ...