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Română(RO) OpenEM: Large-scale multi-structural 3D datasets for electromagnetic methods

OpenEM数据集推动地质勘探AI发展

研究人员推出了OpenEM,这是一个大规模3D数据集,旨在推动深度学习在地质勘探电磁(EM)方法中的应用。现有的数据集通常过于简单且缺乏标准化,阻碍了有效深度学习模型的发展。OpenEM通过提供全面的地电模型集合,包含分层、褶皱和断层等多样且复杂的地下结构,解决了这一问题。该数据集附带一个3D模型生成器,用于灵活的数据增强,旨在加速AI驱动的EM勘探的进展。 AI

影响 提供了一个标准化的、大规模的数据集,以提高地质勘探中AI模型的准确性和泛化能力。

排序理由 该集群包含一篇详细介绍用于机器学习应用的新数据集的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

OpenEM数据集推动地质勘探AI发展

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该集群包含一篇详细介绍用于机器学习应用的新数据集的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 Română(RO) · Shuang Wang, Xuben Wang, Fei Deng, Peifan Jiang, Jian Chen, Gianluca Fiandaca ·

    OpenEM:用于电磁方法的超大规模多结构3D数据集

    arXiv:2510.21859v3 Announce Type: replace Abstract: Electromagnetic (EM) methods, owing to their efficiency and non-invasive nature, have become one of the most widely used techniques in geological exploration. Nevertheless, data processing for these methods remains highly time-c…