Standard
Predicting Fine Particulate Matter (PM2.5) in the Greater London Area : An Ensemble Approach using Machine Learning Methods. / Yazdi, Mahdieh Danesh; Kuang, Zheng; Dimakopoulou, Konstantina; Barratt, Benjamin; Suel, Esra; Amini, Heresh; Lyapustin, Alexei; Katsouyanni, Klea; Schwartz, Joel.
In:
Remote Sensing, Vol. 12, No. 6, 914, 2020.
Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
Yazdi, MD, Kuang, Z, Dimakopoulou, K, Barratt, B, Suel, E, Amini, H, Lyapustin, A, Katsouyanni, K & Schwartz, J 2020, '
Predicting Fine Particulate Matter (PM2.5) in the Greater London Area: An Ensemble Approach using Machine Learning Methods',
Remote Sensing, vol. 12, no. 6, 914.
https://doi.org/10.3390/rs12060914APA
Yazdi, M. D., Kuang, Z., Dimakopoulou, K., Barratt, B., Suel, E., Amini, H., Lyapustin, A., Katsouyanni, K., & Schwartz, J. (2020).
Predicting Fine Particulate Matter (PM2.5) in the Greater London Area: An Ensemble Approach using Machine Learning Methods.
Remote Sensing,
12(6), [914].
https://doi.org/10.3390/rs12060914Vancouver
Yazdi MD, Kuang Z, Dimakopoulou K, Barratt B, Suel E, Amini H et al.
Predicting Fine Particulate Matter (PM2.5) in the Greater London Area: An Ensemble Approach using Machine Learning Methods.
Remote Sensing. 2020;12(6). 914.
https://doi.org/10.3390/rs12060914Author
Yazdi, Mahdieh Danesh ; Kuang, Zheng ; Dimakopoulou, Konstantina ; Barratt, Benjamin ; Suel, Esra ; Amini, Heresh ; Lyapustin, Alexei ; Katsouyanni, Klea ; Schwartz, Joel. / Predicting Fine Particulate Matter (PM2.5) in the Greater London Area : An Ensemble Approach using Machine Learning Methods. In: Remote Sensing. 2020 ; Vol. 12, No. 6.
Bibtex
@article{f4b9c19022e64308a78b9dea9587cc7a,
title = "Predicting Fine Particulate Matter (PM2.5) in the Greater London Area: An Ensemble Approach using Machine Learning Methods",
keywords = "air pollution, particulate matter, machine learning, exposure modeling",
author = "Yazdi, {Mahdieh Danesh} and Zheng Kuang and Konstantina Dimakopoulou and Benjamin Barratt and Esra Suel and Heresh Amini and Alexei Lyapustin and Klea Katsouyanni and Joel Schwartz",
year = "2020",
doi = "10.3390/rs12060914",
language = "English",
volume = "12",
journal = "Remote Sensing",
issn = "2072-4292",
publisher = "M D P I AG",
number = "6",
}
RIS
TY - JOUR
T1 - Predicting Fine Particulate Matter (PM2.5) in the Greater London Area
T2 - An Ensemble Approach using Machine Learning Methods
AU - Yazdi, Mahdieh Danesh
AU - Kuang, Zheng
AU - Dimakopoulou, Konstantina
AU - Barratt, Benjamin
AU - Suel, Esra
AU - Amini, Heresh
AU - Lyapustin, Alexei
AU - Katsouyanni, Klea
AU - Schwartz, Joel
PY - 2020
Y1 - 2020
KW - air pollution
KW - particulate matter
KW - machine learning
KW - exposure modeling
U2 - 10.3390/rs12060914
DO - 10.3390/rs12060914
M3 - Journal article
VL - 12
JO - Remote Sensing
JF - Remote Sensing
SN - 2072-4292
IS - 6
M1 - 914
ER -
