A deep learning approach for prediction of air quality index in a metropolitan city
Bibliographic Data
| ID | 21231202 |
|---|---|
| Authors | R Janarthanan (0000-0003-4345-0741), P Partheeban, K Somasundaram (0000-0002-0429-7759), P Navin Elamparithi (National Institute of Technology Tiruchirappalli) |
| Year | 2021 |
| Volume | 67 |
| Pages | 102720 |
| Publication date | 2021-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2021.102720 |
| OpenAlex | W3126075911 |
| Language | EN |
| Citations received | 11 |
| References cited | 24 |
Air quality index · Deep learning · Geography · Machine learning · Mean squared error · Meteorology · Metropolitan area · Statistics · Air Quality and Health Impacts · Air Quality Monitoring and Forecasting · Computer Science · Mathematics · Vehicle emissions and performance · Artificial Intelligence
Deep Learning Techniques for Air Quality Prediction
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Applications of ML/DL in the management of smart cities and societies based on new trends in information technologies
AirQFormer
Improvement of PM2.5 and O3 forecasting by integration of 3D numerical simulation with deep learning techniques
Study on the Allocation of SO2 Emission Rights in the Yangtze River Delta City Agglomeration Region of China Based on Efficiency and Feasibility
Distance adaptive graph convolutional gated network-based smart air quality monitoring and health risk prediction in sensor-devoid urban areas
Spatially resolved air quality index prediction in megacities with a CNN-Bi-LSTM hybrid framework
China major cities air quality index forecasting using integrative machine learning models
A novel cross-city video-based ensemble deep learning model for air quality estimation
A deep learning-based IoT-oriented infrastructure for secure smart City
A Lag-FLSTM deep learning network based on Bayesian Optimization for multi-sequential-variant PM2.5 prediction
Dynamic prediction of PM2.5 diffusion in urban residential areas in severely cold regions based on an improved urban canopy model
The potential impacts of different traffic management strategies on air pollution and public health for a more sustainable city
| Unique citing works | 11 |
|---|---|
| Citations per year | 2.2 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 10 |