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Updated: Jan 8, 2026

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图表神经网络驱动的文本分类,用于在施工前完成的消防门缺陷检查

Seunghyeon Wang1

  • 1Institute for Environmental Design and Engineering, University College London(UCL), London, WC1H 0NN, UK. seung-hyun.wang@ucl.ac.uk.

Scientific reports
|December 23, 2025
PubMed
概括

图形神经网络 (GNN) 模型准确地识别消防门缺陷,提高建筑物的安全性. 伯特-GCN模型获得了高的F1分数,超过了成千上万的其他缺陷检测模型.

关键词:
建筑物维护 建筑物维护 维护深度学习是一种深度学习.防火门缺陷 防火门缺陷图表神经网络的神经网络文本挖掘 (Text Mining) 是一种文字挖掘方式.

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