Sensors attached to limbs, such as just above the knee and the ankle in knee replacement cases, send data to a computer while patients do exercises prescribed by physiotherapists. Using human body ...

Researchers demonstrate a new method that combines quantum phenomena and machine learning to realise a ... of using quantum-enhanced methods for sensor technology. 'We wanted to design a highly ...

This study examined whether digital health technology can facilitate frailty ... Digital tool box consisted of wearable sensor-enabled 6-min walk test (6MWT) and five machine learning algorithms ...

This is especially true for the automotive industry, which is emerging as the poster child for sensor technology as it undergoes a transformation ... At the fully autonomous driving stage, machine ...

For instance, Microchip Technology has unveiled inductive position sensors ... However, the idea of using machine learning to manage sensor degradation in vehicles is currently in infancy and will ...

Consequently, an innovative approach employing Machine learning and intelligent optimization algorithms for pressure sensor compensation technology is introduced, and its efficacy is rigorously ...

Abstract: This article reviews the integration of machine learning (ML) techniques with sensor-based technologies for multiphase flow measurement in industrial applications. Accurate measurement of ...

A new fabric-based touch sensor used machine learning to control mobile apps, video games and other devices while integrated into clothing. A new study from NC State University combines three ...

Over the years, sensor-based sorting technology has developed, and TOMRA has been using Machine Learning in its X-Ray Transmission (XRT) and Near-Infrared (NIR) sorters for the last 10 years.