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Updated: Feb 14, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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MobileSteelNet: 軽量鋼の表面欠陥分類ネットワークで,クロスインタラクティブで効率的なマルチスケールの注意を集めている

Xiang Zou1, Zhongming Liu1, Chengjun Xu1

  • 1Jiangxi Provincial Key Laboratory of Intelligent Information Processing and Affective Computing, School of Artificial Intelligence, Jiangxi Normal University, Nanchang 330022, China.

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

この研究は,鋼の表面の欠陥分類のための軽量なディープラーニングフレームワークであるMobileSteelNetを紹介しています. ビジョンシステムにおけるリアルタイム産業用品質管理のための高い精度と効率を達成します.

キーワード:
クロスインタラクティブの注意軽量ニューラルネットワークマルチスケール特性の核融合.鋼の表面欠陥分類 鋼の表面欠陥分類について

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