In a recent study published in the journal PNAS Nexus, researchers explored using multimodal wearable sensors combined with machine learning to measure real-time fatigue among manufacturing workers.

Machines are moving beyond single-point sensing. Multi-sensor fusion now delivers vision, ranging and inertial data. The ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Please provide your email address to receive an email when new articles are posted on . A noninvasive sensor may measure glucose values by using dielectric spectroscopy to scan radiofrequencies.

The inner circle classifies fiber sensors into ‘Macroscopical’ and ‘Microscopical’ according to the fiber dimension. The outer pie chart shows the classification according to the working principles.

A new generation of roaming air pollution sensors, powered by artificial intelligence, can improve the accuracy of air quality measurements and better inform people about pollution levels in their ...

Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...

https://www.rit.edu/news/researchers-using-drones-detect-noxious-gas-re… Austin Powder manufactures, distributes, and applies industrial explosives for industries ...

Senvol is to demonstrate that its machine learning software can accurately predict the material performance of parts made on ...