Air Pollution Forecasting Using Artificial and Wavelet Neural
By A Mystery Man Writer
Description
Air quality assessment and pollution forecasting using artificial neural networks in Metropolitan Lima-Peru
Simulating daily PM2.5 concentrations using wavelet analysis and artificial neural network with remote sensing and surface observation data - ScienceDirect
PDF) Predicting of Daily PM2.5 Concentration Employing Wavelet Artificial Neural Networks Based on Meteorological Elements in Shanghai, China
City-scale model to assess rooftops performance on air pollution mitigation; validation for Tehran - ScienceDirect
Air pollution prediction by using an artificial neural network model
Alin Pohoata: Multiple characterizations of urban air pollution time series using a wavelet feedforward neural network integrative approach
Air Pollution Modeling - Aerosol and Air Quality Research
GMD - Using wavelet transform and dynamic time warping to identify the limitations of the CNN model as an air quality forecasting system
Air quality forecasting using artificial neural networks with real time dynamic error correction in highly polluted regions - ScienceDirect
A review on emerging artificial intelligence (AI) techniques for air pollution forecasting: Fundamentals, application and performance - ScienceDirect
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