Sequential prediction of quantitative health risk assessment for the fine particulate matter in an underground facility using deep recurrent neural networks

Article

Abstract: Particulate matter with aerodynamic diameter less than 2.5 µm (PM2.5) in indoor public spaces such a

Palabras claves:

fine particulate matter, Health Risk Assessment, Pbkp_redictive model, Recurrent neural networks, Sequential pbkp_rediction

Autores:

Li Q., Loy-Benitez J., Paulina Vilela, Yoo C.K.

Fuentes:

google

scopus