Prediction of Indoor Air Quality using Long Short-Term Memory with Adaptive Gated Recurrent Unit

Prediction of Indoor Air Quality using Long Short-Term Memory with Adaptive Gated Recurrent Unit

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There is significant evidence that the COVID-19 virus may be spread by inhaling aerosols leading to risk of infections across indoor environments. Having said that, it is clear that the formulation of indoor air quality (IAQ) needs to be carefully examined. In general, IAQ can be controlled by prope...

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Bibliographic Details
Main Authors: Rahim Muhamad Sharifuddin Abd, Yakub Fitri, Omar Mas, Ghani Rasli Abd, Salim Sheikh Ahmad Zaki Shaikh, Masuda Shiro, Dhamanti Inge
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:E3S Web of Conferences
Subjects:
indoor air quality
prediction
machine learning
long short-term memory
hybrid
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/33/e3sconf_iaqvec2023_01095.pdf

Internet

https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/33/e3sconf_iaqvec2023_01095.pdf

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