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Journal ArticleDOI

Aerometric data analysis—time series analysis and forecast and an atmospheric SMOG diagram

E.N. Lawrence
- 01 Oct 1972 - 
- Vol. 6, Iss: 10, pp 782-782
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This article is published in Atmospheric Environment.The article was published on 1972-10-01. It has received 2 citations till now.

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Journal ArticleDOI

A conditional probability density function for forecasting ozone air quality data

TL;DR: In this paper, a non-stationary, autocorrelated stochastic process is used to simulate a conditional probability density function (p.d.) which quantifies the effects of seasonality and auto-correlation.
Posted Content

A Gap Analysis of Low-Cost Outdoor Air Quality Sensor In-Field Calibration

TL;DR: This article presents low-cost sensor technologies, and it survey and assess machine learning-based calibration techniques for their calibration, and presents open questions and directions for future research.
References
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Journal ArticleDOI

A conditional probability density function for forecasting ozone air quality data

TL;DR: In this paper, a non-stationary, autocorrelated stochastic process is used to simulate a conditional probability density function (p.d.) which quantifies the effects of seasonality and auto-correlation.
Posted Content

A Gap Analysis of Low-Cost Outdoor Air Quality Sensor In-Field Calibration

TL;DR: This article presents low-cost sensor technologies, and it survey and assess machine learning-based calibration techniques for their calibration, and presents open questions and directions for future research.
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