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Updated: Sep 9, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

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APF-YOLOV8:UAVベースの絶縁電源ラインの検査のためのマルチスケール検出とクラス内の偏差処理の強化

Rita Aitelhaj1, Badr-Eddine Benelmostafa1, Hicham Medromi1

  • 1System Architecture Team (EAS), Engineering Research Laboratory (LRI),, National High School of Electricity and Mechanic (ENSEM), Hassan II University, Casablanca, Morocco, CASABLANCA, Morocco.

F1000Research
|September 2, 2025
PubMed
まとめ

APF-YOLOは 絶縁装置の検出を向上させることで UAVの電力線検査を改善します この高度なモデルは,統合された公共断熱器データセットと組み合わせて,重要なインフラストラクチャのモニタリングの正確性と効率性を高めます.

キーワード:
自動断熱器の識別コンピュータ・ビジョン改善されたYOLOV8クラス内の不変性多次元オブジェクトサイズチャレンジリアルタイムオブジェクト検出アルゴリズムUAVの電源ラインの検査

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