Quantifying Inhaled Air Quality Using Biometric Responses
Air pollution has numerous impacts on human health on a variety of time […]
Air pollution has numerous impacts on human health on a variety of time […]
Aided by machine learning, the multi-member UTD robots can navigate environmental sites that […]
The human body is an incredible and complex sensing system. Environmental factors trigger […]
Electroencephalography (EEG) is a brain imaging technique in which electrodes are placed on […]
The eyes serve as a window into underlying physical and cognitive processes. Although […]
Machine learning has found many applications in Earth Science. These applications range from […]
PM2.5, a type of fine particulate with a diameter equal to or less […]
In this study, we present a nationwide machine learning model for hourly PM2.5 estimation […]
Sunlight incident on the Earth’s atmosphere is essential for life, and it is […]
We describe and demonstrates an autonomous robotic team that can rapidly learn the […]
Under the working title of SharedAirDFW over 100 new custom-built air quality monitors […]
The “science-softCon UV/Vis+ Photochemistry Database” (www.photochemistry.org) is a large and comprehensive collection of EUV-VUV-UV–Vis-NIR […]
Airborne particulates are of particular significance for their human health impacts and their […]
The human body exhibits a variety of autonomic responses. For example, changing light […]
In this study, we found that machine learning was able to effectively estimate […]
PM2.5 air pollution is a significant issue for human health all over the world, […]
In order to examine associations between asthma morbidity and local ambient air pollution […]