Hofman, J, Nikolaou, M, Do Huu, T, Qin, X, Rodrigo Bonet, E, Philips, W, Deligiannis, N & Panzica La Manna, V 2021, Combining mobile air quality sensor data and machine learning for more fine-grained air quality assessments in urban areas. in Meteorology and Climate Modeling for Air Quality Conference . UC Davis Conference Center, pp. 1-1, Meteorology and Climate Modeling for Air Quality Conference , Davis, California, United States, 14/09/21.
Hofman, J., Nikolaou, M., Do Huu, T., Qin, X., Rodrigo Bonet, E., Philips, W., Deligiannis, N., & Panzica La Manna, V. (Accepted/In press). Combining mobile air quality sensor data and machine learning for more fine-grained air quality assessments in urban areas. In Meteorology and Climate Modeling for Air Quality Conference (pp. 1-1). UC Davis Conference Center.
@inbook{13a92c98ba8443c396a29ceeaed9f569,
title = "Combining mobile air quality sensor data and machine learning for more fine-grained air quality assessments in urban areas",
author = "Jelle Hofman and Mania Nikolaou and {Do Huu}, Tien and Xuening Qin and {Rodrigo Bonet}, Esther and Wilfried Philips and Nikos Deligiannis and {Panzica La Manna}, Valerio",
year = "2021",
month = may,
day = "29",
language = "English",
pages = "1--1",
booktitle = "Meteorology and Climate Modeling for Air Quality Conference",
publisher = "UC Davis Conference Center",
note = "Meteorology and Climate Modeling for Air Quality Conference ; Conference date: 14-09-2021 Through 17-09-2021",
url = "https://macmaq.aqrc.ucdavis.edu/",
}