Back to search

Article

A Data Calibration Method of Micro Air Quality Detector Based on LASSO Regression and NARX Neural Network Combined Model

2021-09-03

Abstract excerpt

Studies have shown that there is a certain correlation between air pollution and various human diseases, especially lung diseases, so it is very meaningful to monitor the concentration of pollutants in the air. Compared with the national air quality monitoring station (national control point), the micro air quality detector has the advantage that it can monitor the concentration of pollutants in real time and grid...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
a3aea2c9-3e4c-5823-a59f-22ef47155a54
DOI
10.21203/rs.3.rs-861855/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A Data Calibration Method of Micro Air Quality Detector Based on LASSO Regression and NARX Neural Network Combined ModelDOI 10.21203/rs.3.rs-861855/v1
Effects of Ambient Air Quality Improvement on Mortality From Acute Air Pollution Exposure in BeijingSemantic proximity
Air Pollution and Outpatient Visits for Cardiovascular and Cerebrovascular Diseases: A Time-Series Analysis in Luoyang, ChinaSemantic proximity
Analysis of Environmental Factors Caused by Exposure to Air Pollution in Yeosu Industrial Complex: Analyzing Google Trend Trends in Cancer Generation through Big DataSemantic proximity
Short-term effects of air pollutants on hospitalizations risk for circulatory disease from 2018 to 2023: a time-series study in Shenzhen, ChinaSemantic proximity
Correlation Analysis Between Six Air Pollutants and Emergency Visit Rate in Shandong, ChinaSemantic proximity
Using Big Data and Orthogonal Matching Pursuit Regression for Forecasting Worldwide Green House Gasses Emissions and ConsumptionSemantic proximity
A machine learning-powered early-warning system integrating multi-pollutant exposure and host susceptibility for hospital-acquired acute kidney injury preventionSemantic proximity
Temporal cross-correlations between air pollutants and outpatient visits for respiratory and circulatory system diseases in Fuzhou, ChinaSemantic proximity
The association between ambient air pollution and scarlet fever in Qingdao, China, 2014-2018: a quantitative analysisSemantic proximity
Studying the Effect of Anthropogenic Activities on the Presence of Nitrogen Dioxide (NO2) through Remote Sensing and Ground Based Observations over Emirate of Fujairah, UAESemantic proximity
Air pollution forecasting and modelling using hybrid machine learning for Craiova City in RomaniaSemantic proximity
Association Between Air Pollutants and Hospitalization with Chronic Obstructive Pulmonary Disease in Ganzhou, ChinaSemantic proximity
Select a neighboring publication to make it the new centre.