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Updated: Jun 21, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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用机器学习评估建筑性能的预测间隔的估计

Khurram Shabbir1,2, Muhammad Umair1, Sung-Han Sim1

  • 1Department of Global Smart City, Sungkyunkwan University, Suwon 16419, Republic of Korea.

Sensors (Basel, Switzerland)
|July 13, 2024
PubMed
概括

这项研究使用人工神经网络和一种新的QD-LUBE方法来准确地评估地震性能. 它通过在结构性健康监测中可靠的不确定性量化来增强建筑弹性和灾害管理.

关键词:
在 QD-LUBE 里面.在SHM中进行机器学习.预测时间间隔的预测.在SHM中确定性量化不确定性

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