1 |
C. H. Hwang and K. W. Shin, "CNN-LSTM Combination Method for Improving Particular Matter Contamination (PM2.5) Prediction Accuracy", Journal of the Korea Institute of Information and Communication Engineering, Vol. 24, No. 1, pp. 57-64, Jan. 2020
DOI
|
2 |
M. Travaglio, Y. Yu, R. Popovic, L. Selley, N. Lea and L. M. Martins, "Links between air pollution and COVID-19 in England", Jour. of Environmental Pollution, Vol. 268, Jan. 2021
|
3 |
K. C. Lee and I. J. Hwang, " Characteristics of PM2.5 in Gyeongsan Using Statistical Analysis", Jour. of Korean Society for Atmospheric Environment, Vol. 31, No. 6, pp. 520-529, Dec. 2015
DOI
|
4 |
S. W. Joun, J. Y. Choi and J. H. Bae, " Performance Comparison of Algorithms for the Prediction of Fine Dust Concentration" , Conf. of Korea Information Science Society, pp. 775-777, Dec. 2017
|
5 |
Y. M. Seo and J. H. Yom, "Comparison of LSTM-based Fine Dust Concentration Prediction Method using Meteorology Data", Conf. of Korea Society of Surveying, Geodesy, Photogrammetry, and Cartography, pp. 117-120, Mar. 2019
|
6 |
J. Y. Lee, M. J. Choi and J. K. Yang, "Ensemble Method for Predicting Particulate Matter and Odor Intensity", Jour. of the Society of Korea Industrial and Systems Engineering, Vol. 42, No.4, pp. 203-210, Dec. 2019
DOI
|
7 |
X. Wu, R. C. Nethery, B.M. Sabath, D. Braun and F. Dominici, "Exposure to air pollution and COVID-19 mortality in the United States: A nationwide cross-sectional study", Jour. of Science Advances, Vol 6, No. 45, Nov. 2020
|
8 |
S. H. Sung, S. J. Kim and M. H. Ryu, "A Comparative Study on the Performance of Machine Learning Models for the Prediction of Fine Dust: Focusing on Domestic and Overseas Factors", Jor. of Korea Society of Innovation, Vol. 15, Num. 4, pp. 339-357, Nov. 2020
|