Toward the balance between computational cost and model performance for the void detection of concrete-filled steel tubular structure using one-dimensional Mel-frequency cepstral coefficients and ensemble machine learning
Auteur(s): |
Zhouhui Shen
Dongdong Chen Liang Zhao Yang Wei |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Construction and Building Materials, janvier 2024, v. 411 |
Page(s): | 134366 |
DOI: | 10.1016/j.conbuildmat.2023.134366 |
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10748450 - Publié(e) le:
14.01.2024 - Modifié(e) le:
14.01.2024