Predicting airborne pollutant concentrations and events in a commercial building using low-cost pollutant sensors and machine learning: A case study
| Author(s): |
Ahmad Mohammadshirazi
Vahid Ahmadi Kalkhorani 
Joseph Humes
Benjamin Speno Juliette Rike
Rajiv Ramnath
Jordan D. Clark
|
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Building and Environment, April 2022, v. 213 |
| Page(s): | 108833 |
| DOI: | 10.1016/j.buildenv.2022.108833 |
- About this
data sheet - Reference-ID
10658151 - Published on:
17/02/2022 - Last updated on:
17/02/2022
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