Predictive Analysis of In-Vehicle Air Quality Monitoring System Using Deep Learning Technique

Predictive Analysis of In-Vehicle Air Quality Monitoring System Using Deep Learning Technique

In-vehicle air quality monitoring systems have been seen as promising paradigms for monitoring drivers’ conditions while they are driving. This is because some in-vehicle cabins contain pollutants that can cause drowsiness and fatigue to drivers. However, designing an efficient system that can predi...

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Bibliographic Details
Main Authors: Abdul Syafiq Abdull Sukor, Goh Chew Cheik, Latifah Munirah Kamarudin, Xiaoyang Mao, Hiromitsu Nishizaki, Ammar Zakaria, Syed Muhammad Mamduh Syed Zakaria
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Atmosphere
Subjects:
in-vehicle air quality
machine learning
deep learning
wireless networks
prediction
smart mobility
Online Access:https://www.mdpi.com/2073-4433/13/10/1587

Internet

https://www.mdpi.com/2073-4433/13/10/1587

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