%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 }