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Faisal Saleem1, Zahoor Ahmad1, Muhammad Farooq Siddique1

  • 1Department of Electrical, Electronics and Computer Engineering, University of Ulsan, Ulsan 44610, Republic of Korea.

PubMed
概括

本研究介绍了一种先进的声学排放 (AE) 管道监测系统,使用实证波纹转换 (EWT) 和DenseNet深度学习来准确检测泄漏和大小分类,显著提高工业安全.

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