AI model detects prediabetes using ECG data without need for blood tests

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
Scientific Research Publishing

Natekin, A. and Knoll, A. (2013) Gradient Boosting Machines, a Tutorial. Frontiers in Neurorobotics, 7, Article No. 21.

ABSTRACT: Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and ...
IEEE

An Optimized Machine Learning Model for R and T Peak Detection in ECG Signal

Abstract: Detection of R and T peaks in electrocardiogram (ECG) signals is essential for monitoring and diagnosing heart-related diseases. In generic cases, these peaks suffer through different types ...
IEEE

Classification of ECG patterns for diagnostic purposes by means of Neural Networks and Support Vector Machines

Abstract: This paper presents an application of Neural Networks (NNs) and Support Vector Machines (SVMs) for the detection and classification of heartbeats in electrocardiogram (ECG) signals. The ...
GitHub

A collection of machine learning examples and tutorials.

Please note that not all code from all courses will be found in this repository. Some newer code examples (e.g. most of Tensorflow 2.0) were done in Google Colab. Therefore, you should check the ...
GitHub

Tech Soft 3D tutorials of python CAD framework for machine learning development. Requires HOOPS AI

Recording of the webinar hold on November 6th. Presenting HOOPS AI, check it out!: This repository provides a collection of tutorial materials designed to help users learn and apply the HOOPS AI ...