TDAN.com

Using Artificial Intelligence and Machine learning to Improve Data Quality in Cloud Native Data Pipelines

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...
EurekAlert!

AI-powered ECG analysis offers promising path for early detection of chronic obstructive pulmonary disease, says Mount Sinai researchers

Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...
chromatographyonline

Portable Electronic Nose with Machine Learning Enhances VOC Detection in Forensic Science

AI and ML are transforming forensic applications with e-nose systems, offering rapid, cost-effective analysis for volatile organic compounds. A 32-element MOS sensor array enhances e-nose forensic ...
IEEE

An Effective Antenna Shape Optimization Framework Employing Machine-Learning-Based Approach

Abstract: A machine-learning-based framework for antenna shape optimization design is presented, which enables an accelerated design process for antennas. The employment of a self-supervised learning ...
Frontiers

A machine learning model for robust prediction of sepsis-induced coagulopathy in critically ill patients with sepsis

Introduction: Sepsis-induced coagulopathy (SIC) is a common disease in patients with sepsis. It denotes higher mortality rates and a poorer prognosis in these patients. This study aimed to develop a ...
Scientific Research Publishing

Bhatt, C.M., Patel, P., Ghetia, T. and Mazzeo, P.L. (2023) Effective Heart Disease Prediction Using Machine Learning Techniques. Algorithms, 16, Article 88.

ABSTRACT: Heart disease continues to be a major global cause of death, making the development of reliable prediction models necessary to enable early detection and treatment. Using machine learning to ...
IML Group

Cost-effective and comprehensive inspection based on machine learning

If quality control is to be automated using AI-based image processing, a suitable network and automation concept is required. Phoenix Contact provides support in system evaluation and component ...