Design and Enhancement of a Fog-Enabled Air Quality Monitoring and Prediction System: An Optimized Lightweight Deep Learning Model for a Smart Fog Environmental Gateway

Design and Enhancement of a Fog-Enabled Air Quality Monitoring and Prediction System: An Optimized Lightweight Deep Learning Model for a Smart Fog Environmental Gateway

Effective air quality monitoring and forecasting are essential for safeguarding public health, protecting the environment, and promoting sustainable development in smart cities. Conventional systems are cloud-based, incur high costs, lack accurate Deep Learning (DL)models for multi-step forecasting,...

Full description

Bibliographic Details
Main Authors: Divya Bharathi Pazhanivel, Anantha Narayanan Velu, Bagavathi Sivakumar Palaniappan
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Sensors
Subjects:
air quality monitoring
air quality forecasting
fog computing
internet of things
smart fog environmental gateway
fog intelligence
Online Access:https://www.mdpi.com/1424-8220/24/15/5069

Internet

https://www.mdpi.com/1424-8220/24/15/5069

Similar Items