Digital Twin-Based Framework for Real-Time Monitoring and Analysis of Urban Mobile-Source Emissions
This study introduces a digital twin paradigm that uses both stationary and mobile sensors and cutting-edge machine learning for urban air quality monitoring. By boosting <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics&g...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
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| Series: | Atmosphere |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4433/16/6/731 |
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