Machine learning and microscopy solve 170-year-old mystery of premelting ice

Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...
GitHub

Big-Ideas-Lab/HRV_Features_Extraction_from_BVP_IBI

Overview This repository contains MATLAB scripts for extracting Heart Rate Variability (HRV) features from Blood Volume Pulse (BVP) signals, obtained from wearable photoplethysmography (PPG) sensors.
IEEE

Pain Classification Using Discrete Wavelet Transform Feature Extraction and Machine Learning Techniques

Abstract: Electrodermal activity (EDA) measurement has been identified as a useful indicator for evaluating pain levels in patients. This study aims to find features of the EDA signal that influence ...
Digital Trends

Perplexity AI turns into tutor with new language learning feature

What’s happened? Perplexity AI just dropped a new language learning feature built right into its platform. In a post shared on social media, the company announced a tool that helps users learn by ...
TechCrunch

Google Translate takes on Duolingo with new language learning tools

Google is rolling out a new AI-powered experimental feature in Google Translate designed to help people practice and learn a new language, the company announced on Tuesday. Translate is also gaining ...
IEEE

HMM-Based Feature Extraction and Machine Learning Methods for Event Detection and Classification in Microgrids

Abstract: The increasing penetration of inverter-based distributed generation (DG) into power grids improves access to electricity and provides a significant possibility for decarbonization. However, ...
Frontiers

Interpretable machine learning model integrating contrast-enhanced CT environmental radiomics and clinicopathological features for predicting postoperative recurrence in lung ...

1 Department of Radiology and Surgery, Xiangyang No.1 People’s Hospital, Hubei University of Medicine, Xiangyang, China 2 Department of Medical Cosmetology, Anesthesiology, Oncology, and Epidemiology, ...
GitHub

marcoaccardi/raster-features-extraction

A complete Python pipeline for extracting a rich set of features from raster data (.asc files). This tool extracts terrain, statistical, textural, spectral, spatial autocorrelation, hydrological, and ...
Frontiers

A novel machine learning methodology for the systematic extraction of chronic kidney disease comorbidities from abstracts

Background: Chronic Kidney Disease (CKD) is a global health concern and is frequently underdiagnosed due to its subtle initial symptoms, contributing to increasing morbidity and mortality. A ...