Combining mobile air quality sensor data and machine learning for more fine-grained air quality assessments in urban areas

Jelle Hofman; Mania Nikolaou; Tien Do Huu; Xuening Qin; Esther Rodrigo Bonet; Wilfried Philips; Nikos Deligiannis; Valerio Panzica La Manna

Combining mobile air quality sensor data and machine learning for more fine-grained air quality assessments in urban areas

Jelle Hofman, Mania Nikolaou, Tien Do Huu, Xuening Qin, Esther Rodrigo Bonet, Wilfried Philips, Nikos Deligiannis, Valerio Panzica La Manna

Research output: Chapter in Book/Report/Conference proceeding › Meeting abstract (Book)

Original language	English
Title of host publication	Meteorology and Climate Modeling for Air Quality Conference
Publisher	UC Davis Conference Center
Pages	1-1
Number of pages	1
Publication status	Accepted/In press - 29 May 2021
Event	Meteorology and Climate Modeling for Air Quality Conference - Virtual Conference, Davis, United States Duration: 14 Sept 2021 → 17 Sept 2021 https://macmaq.aqrc.ucdavis.edu/

Conference

Conference	Meteorology and Climate Modeling for Air Quality Conference
Country/Territory	United States
City	Davis
Period	14/09/21 → 17/09/21
Internet address	https://macmaq.aqrc.ucdavis.edu/

1 Finished
1 Active

VLAAI1: Flanders Artificial Intelligence Research program (FAIR) – second cycle
Nowe, A. & Vanderborght, B.
1/01/24 → 31/12/28
Project: Applied
SRP11: Strategic Research Programme: Processing of large scale multi-dimensional, multi-spectral, multi-sensorial and distributed data (M³D²)
Schelkens, P., Deligiannis, N., Jansen, B., Kuijk, M., Munteanu, A., Sahli, H., Steenhaut, K., Stiens, J., Schelkens, P., Cornelis, J. P., Kuijk, M., Munteanu, A., Sahli, H., Stiens, J. & Vounckx, R.
1/11/12 → 31/12/23
Project: Fundamental

Cite this

@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/",

}

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.

Combining mobile air quality sensor data and machine learning for more fine-grained air quality assessments in urban areas. / Hofman, Jelle; Nikolaou, Mania; Do Huu, Tien et al.
Meteorology and Climate Modeling for Air Quality Conference . UC Davis Conference Center, 2021. p. 1-1.

Research output: Chapter in Book/Report/Conference proceeding › Meeting abstract (Book)

TY - CHAP

T1 - Combining mobile air quality sensor data and machine learning for more fine-grained air quality assessments in urban areas

AU - Hofman, Jelle

AU - Nikolaou, Mania

AU - Do Huu, Tien

AU - Qin, Xuening

AU - Rodrigo Bonet, Esther

AU - Philips, Wilfried

AU - Deligiannis, Nikos

AU - Panzica La Manna, Valerio

PY - 2021/5/29

Y1 - 2021/5/29

M3 - Meeting abstract (Book)

SP - 1

EP - 1

BT - Meteorology and Climate Modeling for Air Quality Conference

PB - UC Davis Conference Center

T2 - Meteorology and Climate Modeling for Air Quality Conference

Y2 - 14 September 2021 through 17 September 2021

ER -

Combining mobile air quality sensor data and machine learning for more fine-grained air quality assessments in urban areas

Conference

Projects

VLAAI1: Flanders Artificial Intelligence Research program (FAIR) – second cycle

SRP11: Strategic Research Programme: Processing of large scale multi-dimensional, multi-spectral, multi-sensorial and distributed data (M³D²)

Cite this