Real-Time In-Vehicle Air Quality Monitoring System Using Machine Learning Prediction Algorithm

This paper presents the development of a real-time cloud-based in-vehicle air quality monitoring system that enables the prediction of the current and future cabin air quality. The designed system provides predictive analytics using machine learning algorithms that can measure the drivers’ drowsines...

Descripción completa

Detalles Bibliográficos
Autores principales: Goh, Chew Cheik, Kamarudin, Latifah Munirah, Zakaria, Ammar, Nishizaki, Hiromitsu, Ramli, Nuraminah, Mao, Xiaoyang, Syed Zakaria, Syed Muhammad Mamduh, Kanagaraj, Ericson, Abdull Sukor, Abdul Syafiq, Elham, Md. Fauzan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8348785/
https://www.ncbi.nlm.nih.gov/pubmed/34372192
http://dx.doi.org/10.3390/s21154956

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8348785/
https://www.ncbi.nlm.nih.gov/pubmed/34372192
http://dx.doi.org/10.3390/s21154956

Ejemplares similares