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Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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使用大型语言模型和机器学习对地面变形灾害的高级易感性分析:杭州市的案例研究

Bofan Yu1,2,3, Huaixue Xing1,2, Weiya Ge1,2

  • 1Nanjing Center, China Geological Survey, Nanjing Center, China Geological Survey, Nanjing, The People's Republic of China.

PloS one
|December 12, 2024
PubMed
概括

本研究整合了数据驱动模型和ChatGPT-4以评估地面变形易感性,提高准确性并减少城市崩和沉降评估中的专家偏见.

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