A low-cost particle counter and signal processing method for indoor air pollution
Author:
Affiliation:
1. The Robotics Institute, Carnegie Mellon University, USA
Publisher
WIT Press
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Smart Wireless Particulate Matter Sensor Node for IoT-Based Strategic Monitoring Tool of Indoor COVID-19 Infection Risk via Airborne Transmission;Sustainability;2022-11-03
2. Application of the low-cost sensing technology for indoor air quality monitoring: A review;Environmental Technology & Innovation;2022-11
3. Predicting airborne pollutant concentrations and events in a commercial building using low-cost pollutant sensors and machine learning: A case study;Building and Environment;2022-04
4. Evaluation of two low-cost PM monitors under different laboratory and indoor conditions;Aerosol Science and Technology;2020-12-21
5. Smell Pittsburgh;ACM Transactions on Interactive Intelligent Systems;2020-12-03
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