Convolutional attention with roll padding: Classifying PM2.5 concentration levels in the city of Beijing

Author:

Gonçalves Rui,Ribeiro Vitor Miguel

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference42 articles.

1. Models predicting PM2.5 concentrations—A review;Anchan,2022

2. Detection and prediction of air pollution using machine learning and deep learning techniques;Mane,2022

3. A prospective study (SCOPE) comparing the cardiometabolic and respiratory effects of air pollution exposure on healthy and pre-diabetic individuals;Wang;Sci China Life Sci,2018

4. Long-term exposure to traffic-related air pollution and cancer among survivors of myocardial infarction: A 20-year follow-up study;Cohen;Eur J Prevent Cardiol,2017

5. Guidelines for developing an air quality (Ozone and PM2.5) forecasting program;Dye,2003

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