Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 hsu2020kriging
%A Hsu, Chin-Yu
%A Zeng, Yu-Ting
%A Chen, Yu-Cheng
%A Chen, Mu-Jean
%A Lung, Shih-Chun Candice
%A Wu, Chih-Da
%D 2020
%I Multidisciplinary Digital Publishing Institute
%J International journal of environmental research and public health
%K air lur pollution xgboost
%N 19
%P 6956
%T Kriging-based land-use regression models that use machine learning algorithms to estimate the monthly BTEX concentration
%V 17
@article{hsu2020kriging,
added-at = {2022-04-07T08:57:33.000+0200},
author = {Hsu, Chin-Yu and Zeng, Yu-Ting and Chen, Yu-Cheng and Chen, Mu-Jean and Lung, Shih-Chun Candice and Wu, Chih-Da},
biburl = {https://www.bibsonomy.org/bibtex/2d73d6b484ec3397fa394b6334a6b216e/msteininger},
interhash = {9ae95efa20029f567169d925cfe62e5b},
intrahash = {d73d6b484ec3397fa394b6334a6b216e},
journal = {International journal of environmental research and public health},
keywords = {air lur pollution xgboost},
number = 19,
pages = 6956,
publisher = {Multidisciplinary Digital Publishing Institute},
timestamp = {2022-04-07T08:57:33.000+0200},
title = {Kriging-based land-use regression models that use machine learning algorithms to estimate the monthly BTEX concentration},
volume = 17,
year = 2020
}
