IEEE

A Comparative Study of Validation Methods for Sensor-Based Human Activity Recognition Using Deep Learning Models

Abstract: With the rise of wearable sensors and smart devices, human activity recognition (HAR) has become a vital research area in ubiquitous computing. Although many studies report high accuracy ...
Journal of Medical Internet Research

Using Machine Learning Methods to Predict Early Treatment Outcomes for Multidrug-Resistant or Rifampicin-Resistant Tuberculosis to Enhance Patient Cure Rates: Development and ...

Methods: This retrospective study encompassed an internal cohort of 744 patients with MDR/RR-TB examined between January 2017 and June 2023, as well as an external cohort comprising 137 patients with ...
IEEE

Any-Position Any-Direction Human Activity Recognition with Motion-Driven Data Generation Method via Monostatic Radar

Abstract: Recent radar data generation studies for human activity recognition (HAR) always focus on statistic-driven methods guided by statistical parameters, such as mean, variance, or latent network ...
The Washington Post

This teaching method, backed by conservatives, is on the rise

PALM BAY, Fla. — Seniors at Pineapple Cove Classical Academy draw upon the Bible and books from the Western canon to answer a quintessential question in their capstone project: What is the good life?