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Aur quality prediction using deep learning

Year: 2026

Type: article

Abstract: Air Quality Prediction Using Deep Learning is a machine learning-based project that analyzes air pollution images and classifies air quality into six categories: Good, Moderate, Unhealthy for Sensitive Groups, Unhealthy, Very Unhealthy, and Severe. It uses deep learning and CNN-based models with transfer learning to predict air pollution levels and provides an easy-to-use web interface for displaying prediction results.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.23909416

Authors: Shaikh, Ibaad, Tamboli, Nihal, Gaikwad, Vaishali

Language: English

Topic: Air Quality Monitoring and Forecasting

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7225189097

FWCI:

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Related to: 10