Semi-supervised method for tunnel blasting quality prediction using measurement while drilling data

Predicting blasting quality during tunnel construction holds practical significance. In this study, a new semi-supervised learning method using convolutional variational autoencoder (CVAE) and deep neural network (DNN) is proposed for the prediction of blasting quality grades. Tunnel blasting qualit...

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Vydané v:	Journal of Rock Mechanics and Geotechnical Engineering Ročník 17; číslo 5; s. 2633 - 2649
Hlavní autori:	Jin, Hengxiang, Fang, Qian, Wang, Jun, Chen, Jiayao, Wang, Gan, Zheng, Guoli
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.05.2025 Elsevier
Predmet:	Measurement while drilling (MWD) Over/under excavation Semi-supervised learning Tunnel blasting quality Over/under excavation Measurement while drilling (MWD) Semi-supervised learning Tunnel blasting quality
ISSN:	1674-7755
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