IOT-based air pollution monitoring and forecasting system

C Xiaojun, L Xianpeng, X Peng - 2015 international conference …, 2015 - ieeexplore.ieee.org
Using empirical analysis, conventional air automatic monitoring system has high precision,
but large bulk, high cost, and single datum class make it impossible for large-scale …

[PDF][PDF] Air quality pattern assessment in Malaysia using multivariate techniques

HA Isiyaka, A Azid - Malaysian Journal of Analytical Sciences, 2015 - researchgate.net
This study aims to investigate the spatial characteristics in the pattern of air quality
monitoring sites, identify the most discriminating parameters contributing to air pollution, and …

Implementing spectral decomposition of time series data in artificial neural networks to predict air pollutant concentrations

N Kamali, M Zare Shahne, M Arhami - Environmental Engineering …, 2015 - liebertpub.com
A model to predict air pollutants' concentrations was developed by implementing spectral
decomposition of time series data, obtained by Kolmogorov–Zurbenko filter, in Artificial …

Forecasts of tropospheric ozone in the Metropolitan Area of Rio de Janeiro based on missing data imputation and multivariate calibration techniques

RCG de Oliveira, CL Cunha, AR Tôrres… - Environmental Monitoring …, 2021 - Springer
Multivariate calibration based on partial least squares, random forest, and support vector
machine methods, combined with the MissForest imputation algorithm, was used to …

Synopsis study on the interaction of atmospheric elements of different levels, in relation to ozone

GH Roshan, Z Hejazizadeh, F Kkoshakhlagh… - Geography, 2009 - mag.iga.ir
امروزه افزایش جمعیت بشری و استفاده از سوختهای فسیلی باعث افزایش آلاینده ها و در نتیجه
تشدید حالتهای گلخانه ای و در بعضی مناطق باعث نازک شدن و یا سوراخ شدن لایه ازن گردیده است …