One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

Artificial intelligence (AI) can put together readings from multiple sensors more effectively than classic technology, ...

Abstract: Drowsiness while driving is a core threat to global safety on roads, resulting in significant traffic accidents and fatalities. Efficient strategies to combat drowsy driving are an emerging ...

Abstract: Due to the increasing of traffic accidents, there is an urgent need to control and reduce driving mistakes. Driver fatigue or drowsiness is one of these major mistakes. Many algorithms have ...

Summary: Researchers established the first direct, non-invasive molecular tracking method to objectively measure sleep deprivation within human bodily fluids. P The research team tracked healthy adult ...

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

The transportation management system has significant opportunity to combine fleet data with machine learning to make new solutions. Many practical AI tools for fleets are available on transportation ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

Driver fatigue and drowsiness are among the leading causes of road accidents, especially during night-time long-haul driving such as truck and highway transport. Traditional safety measures fail ...

You will be redirected to our submission process. The integration of AI and Machine Learning into injury prediction is transforming how researchers, clinicians, and sports professionals assess and ...