Applying data augmentation technique on blast-induced overbreak prediction : resolving the problem of data shortage and data imbalance
Blast-induced overbreak in tunnels can cause severe damage and has therefore been a main concern in tunnel blasting. Researchers have developed many machine learning-based models to predict overbreak. Collecting overbreak data manually, however, can be challenging and might obtain insufficient or...
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Main Authors: | Biao, He, Danial Jahed, Armaghani, Lai, Sai Hin, Pijush, Samui, Edy Tonnizam, Mohamad |
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Format: | Article |
Language: | English |
Published: |
Elsevier Ltd.
2023
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Subjects: | |
Online Access: | http://ir.unimas.my/id/eprint/44854/2/Applying%20data%20augmentation%20-%20Copy.pdf http://ir.unimas.my/id/eprint/44854/ https://www.sciencedirect.com/science/article/pii/S0957417423021188 https://doi.org/10.1016/j.eswa.2023.121616 |
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