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removed, and valuable post-process water streams are frequently discharged due to insufficient monitoring. This project will investigate the fusion of data streams from ultraviolet (UV) fluorescence imaging
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the question ‘how close to failure is the asset?’. By integrating a suite of state-of-the-art sensors and monitoring technologies with data fusion and AI analytics, this research will enable timely
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, primarily due to validation gaps in high-pressure boiling phenomena and the lack of high-fidelity experimental data. Building on recent advances in non-intrusive, high-resolution optical diagnostics
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