Air Quality Monitoring and Forecasting

Über Air Quality Monitoring and Forecasting

This cluster of papers focuses on the advances in low-cost air quality monitoring systems, utilizing technologies such as neural networks, forecasting models, and IoT-based sensor networks to monitor particulate matter and pollutants in urban environments. The research explores the application of machine learning and environmental monitoring techniques to improve the accuracy and accessibility of air quality data.

Schlagwörter

Air Quality Monitoring Low-Cost Sensors Neural Networks Forecasting Particulate Matter Urban Environment IoT Machine Learning Environmental Monitoring Sensor Network

Entwicklung im Zeitverlauf