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Updated: Jun 5, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

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使用机器学习方法预测和评估浅基础的结算.

Thi Thanh Huong Ngo1, Van Quan Tran2

  • 1Faculty of Civil Engineering, University of Transport Technology, Thanh Xuan, Hanoi, Vietnam.

Science progress
|December 13, 2024
PubMed
概括

预测浅层基础解决方案至关重要. 这项研究发现,标准的梯度增强和随机森林模型,没有优化,在定居点预测方面表现最好,突出标准透测试 (SPT) 和脚宽度作为关键因素.

关键词:
机器学习 机器学习平均 SPT 吹数计数数量脚宽度 b 脚宽度预测 预测 预测 预测浅基础的定居点.莎普利添加剂的解释解释

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