A Proposed Deep Learning Framework for Air Quality Forecasts, Combining Localized Particle Concentration Measurements and Meteorological Data

A Proposed Deep Learning Framework for Air Quality Forecasts, Combining Localized Particle Concentration Measurements and Meteorological Data

Air pollution in urban areas has increased significantly over the past few years due to industrialization and population increase. Therefore, accurate predictions are needed to minimize their impact. This paper presents a neural network-based examination for forecasting Air Quality Index (AQI) value...

Full description

Saved in:
Bibliographic Details
Main Authors: Maria X. Psaropa, Sotirios Kontogiannis, Christos J. Lolis, Nikolaos Hatzianastassiou, Christos Pikridas
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Applied Sciences
Subjects:
air quality index
air pollution
neural networks
deep learning
forecasting
recurrent neural network
Online Access:https://www.mdpi.com/2076-3417/15/13/7432
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items