Air Pollution Forecasting Using Artificial and Wavelet Neural Networks with Meteorological Conditions - Aerosol and Air Quality Research

Artificial neural networks forecasting of PM2.5 pollution using air mass trajectory based geographic model and wavelet transformation - ScienceDirect

Air quality assessment and pollution forecasting using artificial neural networks in Metropolitan Lima-Peru

Deep Flexible Sequential Model for Air Pollution Forecasting.

Influence of the rainfall and temperature oscillation on air quality in Kathmandu valley: The wavelet analysis

Quantifying effects of meteorological parameters on air pollution in Kathmandu valley through regression models

PDF) Artificial neural network forecasting of PM2.5 pollution using air mass trajectory based geographic model and wavelet transformation

Air quality predictions with a semi-supervised bidirectional LSTM neural network - ScienceDirect

Atmosphere, Free Full-Text

Recognition of a linear source contamination based on a mixed-integer stacked chaos gate recurrent unit neural network–hybrid sparrow search algorithm

“Prediction, Impact and Mitigation of Ambient Air Quality Pollutant Concentrations in Chandigarh” A Review

Prediction of daily fine particulate matter (PM2.5) concentration in Aksaray, Turkey: Temporal variation, meteorological dependence, and employing artificial neural network - Koçak - Environmental Progress & Sustainable Energy - Wiley Online Library

Multiscale Forecasting Approach of Property Insurance Income via Wavelet Method

Recognition of a linear source contamination based on a mixed-integer stacked chaos gate recurrent unit neural network–hybrid sparrow search algorithm