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Updated: Feb 20, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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MFDH-Net: 多レベル機能融合とクロスセンシング分離ヘッドの故障検出ネットワーク

Laomo Zhang1, Zeyu Yang2, Ying Ma3

  • 1School of Software, Henan University of Engineering, Zhengzhou, 451191, China. zlm@haue.edu.cn.

Scientific reports
|February 18, 2026
PubMed
まとめ

MFDH-Netは,グローバルとローカルの機能,多層次集積,空間的意味融合を統合することにより,産業用欠陥検出を強化します. この革新的なネットワークは,最先端の性能を達成し,インテリジェント・マニュファクチャリングにおける品質管理を改善します.

キーワード:
クロス意識の解離ヘッダデフォルト検出 デフォルト検出 デフォルト検出損失関数による損失です.マルチレベルの機能融合機能.

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