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Naomi Asimow
University of California BerkeleyMeeting roles in:
Observational Inferences of NOx and CO Emission Factors in Cities Using Dense Urban Monitoring Networks
The BEACO2N International Collaboration
Towards Accelerated CO2 Inversion Modeling for Understanding Uncertainties through Multicore Processing and a Reusable Code Base
Development of a Machine Learning Benchmark for Inferring CO2 Emissions de-novo From Measurements of a Real-Time Sensor Network
Using Network Observations to Constrain CO and CO2 Emissions from an Oil Refinery in the San Francisco Bay Area
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