Data imputation in in situ-measured particle size distributions by means of neural networks
<p><span id="page5536"/>In air quality research, often only size-integrated particle mass concentrations as indicators of aerosol particles are considered. However, the mass concentrations do not provide sufficient information to convey the full story of fractionated size distr...
Main Authors: | P. L. Fung, M. A. Zaidan, O. Surakhi, S. Tarkoma, T. Petäjä, T. Hussein |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2021-08-01
|
Series: | Atmospheric Measurement Techniques |
Online Access: | https://amt.copernicus.org/articles/14/5535/2021/amt-14-5535-2021.pdf |
Similar Items
-
Sensitivity Analysis for Predicting Sub-Micron Aerosol Concentrations Based on Meteorological Parameters
by: Martha A. Zaidan, et al.
Published: (2020-05-01) -
An Optimal Stacked Ensemble Deep Learning Model for Predicting Time-Series Data Using a Genetic Algorithm—An Application for Aerosol Particle Number Concentrations
by: Ola M. Surakhi, et al.
Published: (2020-11-01) -
Input-Adaptive Proxy for Black Carbon as a Virtual Sensor
by: Pak Lun Fung, et al.
Published: (2019-12-01) -
THE SIZE OF STATES OF THE GAP TECHNOLOGICAL IN DEVELOPING COUNTRIES COMPARED TO THE STATES OF ADVANCED
by: Aswan Abdul Qader Zaidan
Published: (2000-12-01) -
Assessment of serum and salivary oxidant and total antioxidant status of patients with recurrent aphthous stomatitis in a sample of Basrah city
by: Hussein S Al-Essa, et al.
Published: (2014-01-01)