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Updated: Jan 11, 2026

Contrast-Enhanced Subharmonic Aided Pressure Estimation SHAPE Using Ultrasound Imaging with a Focus on Identifying Portal Hypertension
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基于机器学习的预测和SHAP灵敏度分析,用于在富含气的气体混合物中的声速

Mohammad Rasool Dehghani1, Ali Akbari2, Mehdi Maleki2

  • 1Department of Petroleum Engineering, Shahid Bahonar University of Kerman, Kerman, Iran. mrd3hghani@gmail.com.

Scientific reports
|November 19, 2025
PubMed
概括

机器学习准确地预测了/缓冲气混合物中的声速,这对于能应用至关重要. 额外树木回归 (ETR) 模型在这些估计中表现出卓越的表现.

关键词:
声学特性 声学特性气体混合物 气体混合物运输气的运输方式机器学习 (ML) 是指机器学习.声音的速度是声音的速度.

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