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08/05/2023
Surrogate Empowered Sim2Real Transfer of Deep Reinforcement Learning for ORC Superheat Control
The Organic Rankine Cycle (ORC) is widely used in industrial waste heat ...
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04/15/2023
Estimation of minimum miscibility pressure (MMP) in impure/pure N2 based enhanced oil recovery process: A comparative study of statistical and machine learning algorithms
Minimum miscibility pressure (MMP) prediction plays an important role in...
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09/22/2022
Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey
Over the last ten years, we have seen a significant increase in industri...
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09/01/2022
A Transferable Multi-stage Model with Cycling Discrepancy Learning for Lithium-ion Battery State of Health Estimation
As a significant ingredient regarding health status, data-driven state-o...
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07/15/2022
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with Modality-Correlated Cross-Attention for Brain Tumor Segmentation
Brain tumor segmentation (BTS) in magnetic resonance image (MRI) is cruc...
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09/07/2018
Distributed dynamic modeling and monitoring for large-scale industrial processes under closed-loop control
For large-scale industrial processes under closed-loop control, process ...
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07/12/2013
