Smart urban air quality diagnosis using low-cost particulate matter sensors and machine learning
Particulate matter (PM) concentration is a key parameter for air quality, affecting human health and the environment. The scientific and social interest in PM has been growing as it is revealed that airborne PM has relation to morbidity and premature human mortality associated with numerous adverse...
محفوظ في:
المؤلف الرئيسي: | Won, Wan-Sik |
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مؤلفون آخرون: | Su Pei-Chen |
التنسيق: | Thesis-Doctor of Philosophy |
اللغة: | English |
منشور في: |
Nanyang Technological University
2022
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الموضوعات: | |
الوصول للمادة أونلاين: | https://hdl.handle.net/10356/155250 |
الوسوم: |
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مواد مشابهة
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Enhancing the reliability of particulate matter sensing by multivariate Tobit model using weather and air quality data
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Hygroscopic properties of particulate matter and effects of their interactions with weather on visibility
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منشور في: (2021) -
Airborne Particulate Matter Monitoring Using UAVs for Smart Cities and Urban Areas
بواسطة: Mayuga, Gian Paolo, وآخرون
منشور في: (2018) -
Impact of fine particulate matter on visibility at Incheon International Airport, South Korea
بواسطة: Won, Wan-Sik, وآخرون
منشور في: (2021) -
Vertical distribution of particulate matter
بواسطة: Khoo, Felicia Hoon Sian
منشور في: (2015)