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Updated: Feb 14, 2026

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits
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LESSDD-Net:特徴セグメンテーションと部分的に接続された構造に基づいた軽量で効率的な鋼の表面欠陥検出ネットワーク

Jiayu Wu1, Longxin Zhang1, Xinyi Pu1

  • 1School of Computer Science and Artificial Intelligence, Hunan University of Technology, Zhuzhou 412007, China.

Sensors (Basel, Switzerland)
|February 13, 2026
PubMed
まとめ

私たちは,スチール表面の欠陥検出のための軽量ネットワークである LESSDD-Net を開発しました. 計算コストとモデルのサイズを大幅に削減し,正確性を向上させ,モバイルデバイスに適しています.

キーワード:
注意力メカニズム 注意力メカニズムダウンサンプリング軽量で軽い軽量です.表面欠陥検出 表面欠陥検出

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