两篇新研究论文提出了利用表格基础模型进行滑坡易发性预测的新方法，解决了数据稀疏和不平衡的常见问题。第一篇论文介绍了一种生成方法，用于创建真实的滑坡数据集，保留了复杂特征依赖性，并在各种场景中展示了鲁棒性。第二篇论文提出了一种知识-数据双驱动范式，将地貌先验知识与有限的滑坡数据相结合，实现了与需要更多数据的传统方法相当的准确性。 AI
影响 这些方法可以通过提高滑坡易发性模型在数据稀疏地区的准确性，显著改善地质灾害评估。
排序理由 两篇发表在arXiv上的学术论文，提出了使用表格基础模型进行滑坡预测的新方法。
AI 生成摘要 · Google Gemini · 来自 4 个来源。 我们如何撰写摘要 →
完整方法见我们的编辑标准。
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