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Updated: Jan 29, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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土地滑坡易感性评估整合机器学习和SBAS-InSAR衍生变形特征:新疆宁县的一个案例研究

Tingting Ma1, Xiaoqiang Yi2, Hui Ci2

  • 1Department of Energy and Chemical Engineering, Aksu Industry Polytechnic College, Aksu 843100, China.

Sensors (Basel, Switzerland)
|January 28, 2026
PubMed
概括

这项研究利用机器学习和卫星数据增强了宁县的山体滑坡易感性评估. 这些发现有助于改善灾害预防,并支持易发生山体滑坡的地区的可持续发展.

关键词:
这是SBAS-InSAR.宁县 宁县滑坡灾难 地滑灾害土地滑坡易感性的评估评估机器学习是机器学习.

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