Automatic Estimation Of Rock Quality Designation Based On An Improved YOLOv5
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00603-023-03729-x.pdf
Reference57 articles.
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2. Alemdag S, Sari M, Seren A (2022) Determination of rock quality designation (RQD) in metamorphic rocks: a case study (Bayburt-Kırklartepe Dam). Bull Eng Geol Environ 81:214. https://doi.org/10.1007/s10064-022-02675-2
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4. Alzubaidi F, Mostaghimi P, Si G et al (2022) Automated rock quality designation using convolutional neural networks. Rock Mech Rock Eng 55:3719–3734. https://doi.org/10.1007/s00603-022-02805-y
5. Balestriero R, Baraniuk RG (2022) Batch normalization explained. arXiv. https://doi.org/10.48550/arXiv.2209.14778
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1. A Deep Learning Approach of RQD Analysis for Rock Core Images via Cascade Mask R-CNN-Based Model;Rock Mechanics and Rock Engineering;2024-08-15
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