Low cost sensor implementation and evaluation for measuring NO2 and O3 pollutants
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9199028/9200237/09200245.pdf?arnumber=9200245
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Machine-learning-based precise cost-efficient NO2 sensor calibration by means of time series matching and global data pre-processing;Engineering Science and Technology, an International Journal;2024-06
2. Nonlinear Regression Approach as a Correction Factor of Measurements of Low-Cost Electrochemical Air Quality Sensors;Applied Sciences;2024-04-13
3. Investigation of LASSO Regression Method as a Correction Measurements’ Factor for Low-Cost Air Quality Sensors;Signals;2024-02-02
4. Identification of the Safe Variation Limits for the Optimization of the Measurements in Low-Cost Electrochemical Air Quality Sensors;Electrochem;2023-12-21
5. A Kalman Filter Scheme for the Optimization of Low-Cost Gas Sensor Measurements;Electronics;2023-12-20
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