Real-time forecasting of carbon monoxide (CO) concentrations is essential for enabling timely interventions to improve urban air quality. Conventional air quality models often require extensive ...

Various successful applications of deep artificial neural networks are effectively facilitated by the possibility to increase the number of layers and neurons in the network at the expense of the ...

A neural network image analysis method will help track the movement of microparticles in the Earth's atmosphere and space.

Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and lower energy use than traditional electronics. But despite their potential, ...