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
| Author(s): |
Zhouhui Shen
Dongdong Chen
Liang Zhao Yang Wei
|
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Construction and Building Materials, January 2024, v. 411 |
| Page(s): | 134366 |
| DOI: | 10.1016/j.conbuildmat.2023.134366 |
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10748450 - Published on:
14/01/2024 - Last updated on:
14/01/2024
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