A NEW study finds that machine learning models using data from digital ... inhaler equipped with sensors to monitor reliever medication use. The device continuously recorded inhalation metrics ...

A deep dive into the technological progress of today’s smart valves, bearings, brakes, gearboxes and actuators, and what’s ...

This code example demonstrates how to run through the ModusToolbox™ machine learning (ModusToolbox™-ML) development flow with ... same regression data is streamed over the UART. The following figure ...

As web applications become more sophisticated to meet our daily needs, such as shopping and communication, they also become more vulnerable to data breaches. In 2024, web applications were the ...

The iCares bandage uses innovative microfluidic components, sensors, and machine learning ... the flow of liquids -- clears excess moisture from wounds while providing real-time data about ...

Abstract: This article reviews the integration of machine learning ... source-based sensors. It highlights the challenges associated with these sensors. The article then explores various ML algorithms ...

“By employing artificial intelligence and machine learning on this raw data, we can triangulate people density ... indirectly being passed on,” Lakshmi says. A diagram of how we follow the process ...

In statistics and machine learning, the goal is to learn from past data to make new predictions or inferences about future data. In order to achieve this goal, the statistician or machine learning ...

Hence, in this research, we focus on leveraging artificial intelligence techniques, data fusion, and synthetic sensing, to improve the accuracy of traffic flow prediction in regions with limited ...