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Jianping Su

A novel automated soft sensor design tool for industrial applications based on machine learning
Machine learning for real-time green carbon dioxide tracking in refinery processes
Green CO2 Emission Modelling with Artificial Intelligence During Co-Processing Biogenic Feedstocks
Real-time tracking of renewable carbon content with AI-aided approaches during co-processing of biofeedstocks
Causal discovery based on observational data and process knowledge in industrial processes
Tracking the green coke production when co-processing lipids at a commercial fluid catalytic cracker (FCC): combining isotope 14 C and causal discovery analysis

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