Abstract: Electroencephalogram (EEG) signals provide useful information for diagnosing sleep disorders such as restless legs syndrome, insomnia, snoring, and sleep hypoventilation. The use of an ...

Background: Diabetic nephropathy (DN) is one of the vascular complications of diabetes and a leading cause of end-stage renal disease (ESRD) and mortality in diabetic patients. PANoptosis has been ...

We are excited to inform you that the current Machine Learning: Theory and Hands-On Practice with Python Specialization (taught by Professor Geena Kim) is being retired and will be replaced with a new ...

Two big oil projects — the Santos-Repsol Pikka Phase 1 and ConocoPhillips’ Nuna — are poised to end more than three decades of oil production decline in Alaska. The US Arctic state is central to the ...

The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...

A machine learning project to predict loan default risk using financial and credit history data. Built as part of a team capstone project in master degree at Deakin University. BayesCOOP is a scalable ...

Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...

Machine Learning is a method of teaching computers to find patterns in data and make predictions without being explicitly programmed for every scenario. Think of it this way: Traditional programming: ...

🌸📊 A Streamlit ML app to classify Iris flowers 🌼 into Setosa, Versicolor, or Virginica using scikit-learn 🚀 ...

Abstract: Magnetic localization does not require line of sight, this makes it suitable for various applications, including indoor navigation, surgical tracking, motion capture, and 3D body scanning.