Park, S.-Y.; Yoon, D.-K.; Park, S.-H.; Jeon, J.-I.; Lee, J.-M.; Yang, W.-H.; Cho, Y.-S.; Kwon, J.; Lee, C.-M.
Proposal of a Methodology for Prediction of Indoor PM2.5 Concentration Using Sensor-Based Residential Environments Monitoring Data and Time-Divided Multiple Linear Regression Model. Toxics 2023, 11, 526.
https://doi.org/10.3390/toxics11060526
AMA Style
Park S-Y, Yoon D-K, Park S-H, Jeon J-I, Lee J-M, Yang W-H, Cho Y-S, Kwon J, Lee C-M.
Proposal of a Methodology for Prediction of Indoor PM2.5 Concentration Using Sensor-Based Residential Environments Monitoring Data and Time-Divided Multiple Linear Regression Model. Toxics. 2023; 11(6):526.
https://doi.org/10.3390/toxics11060526
Chicago/Turabian Style
Park, Shin-Young, Dan-Ki Yoon, Si-Hyun Park, Jung-In Jeon, Jung-Mi Lee, Won-Ho Yang, Yong-Sung Cho, Jaymin Kwon, and Cheol-Min Lee.
2023. "Proposal of a Methodology for Prediction of Indoor PM2.5 Concentration Using Sensor-Based Residential Environments Monitoring Data and Time-Divided Multiple Linear Regression Model" Toxics 11, no. 6: 526.
https://doi.org/10.3390/toxics11060526
APA Style
Park, S.-Y., Yoon, D.-K., Park, S.-H., Jeon, J.-I., Lee, J.-M., Yang, W.-H., Cho, Y.-S., Kwon, J., & Lee, C.-M.
(2023). Proposal of a Methodology for Prediction of Indoor PM2.5 Concentration Using Sensor-Based Residential Environments Monitoring Data and Time-Divided Multiple Linear Regression Model. Toxics, 11(6), 526.
https://doi.org/10.3390/toxics11060526