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Updated: Sep 9, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

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大規模炭鉱事故の危険を分類するためのハイブリッドCNN変圧器の適用

Qiang Tu1, Yijiang Zong1, Zequan Li2

  • 1School of Transportation Engineering, Jiangsu Vocational Institute of Architectural Technology, Xuzhou, China.

Scientific reports
|September 1, 2025
PubMed
まとめ

新しいハイブリッドCNN-トランスフォーマーモデルは,石炭鉱山事故の危険分類の精度を大幅に改善します. この高度なAIアプローチは,メジャーとマイナーな危険をより良く特定し,手作業の負荷を減らすことで安全システムを強化します.

キーワード:
炭鉱事故の危険性ハイブリッドCNNトランスフォーマーモデル自然言語処理テキスト分類

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