Publications by authors named "Shaoming Zheng"

Data distribution gaps often pose significant challenges to the use of deep segmentation models. However, retraining models for each distribution is expensive and time-consuming. In clinical contexts, device-embedded algorithms and networks, typically unretrainable and unaccessable post-manufacture, exacerbate this issue.

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Exploring moisture distribution, especially bound water content, is vital for studying and applying sludge dewatering. The differential scanning calorimetry (DSC) method has been extensively utilized for the quantitative characterization of moisture distribution in sludge. However, this method has certain limitations, such as low reproducibility of results, leading to controversial parameter values in different papers and hindering result comparison.

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Article Synopsis
  • * It evaluates the impact of parameters like standard curves, scanning times, and sample weight on the accuracy of the low-field nuclear magnetic resonance (LF-NMR) method for measuring sludge water content.
  • * Findings reveal that magnetic substances in sludge can distort LF-NMR results, with a strong correlation between saturation magnetization and measurement errors, highlighting the need for tailored process considerations rather than relying on standard literature methods.
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