Enhancing the reliability of particulate matter sensing by multivariate Tobit model using weather and air quality data
Low-cost particulate matter (PM) sensors have been widely used following recent sensor-technology advancements; however, inherent limitations of low-cost monitors (LCMs), which operate based on light scattering without an air-conditioning function, still restrict their applicability. We propose a re...
Saved in:
Main Authors: | Won, Wan-Sik, Noh, Jinhong, Oh, Rosy, Lee, Woojoo, Lee, Jong-Won, Su, Pei-Chen, Yoon, Yong-Jin |
---|---|
Other Authors: | School of Mechanical and Aerospace Engineering |
Format: | Article |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/170927 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Hygroscopic properties of particulate matter and effects of their interactions with weather on visibility
by: Won, Wan-Sik, et al.
Published: (2021) -
Investigation into interactions between accident consequences and traffic signs : a Bayesian bivariate Tobit quantile regression approach
by: Xu, Xuecai, et al.
Published: (2019) -
Impact of fine particulate matter on visibility at Incheon International Airport, South Korea
by: Won, Wan-Sik, et al.
Published: (2021) -
Silk fibroin fiber for indoor air particulate matter removal
by: Janjira Triped
Published: (2012) -
A semi-parametric estimator for censored selection models with endogeneity
by: Lee, Myoung-jae, et al.
Published: (2006)