Applying data augmentation technique on blast-induced overbreak prediction: Resolving the problem of data shortage and data imbalance

• Main Authors: He, Biao, Armaghani, Danial Jahed, Lai, Sai Hin, Samui, Pijush, Mohamad, Edy Tonnizam
• Format: Article
• Published: Elsevier 2024
• Subjects: QA75 Electronic computers. Computer science; TA Engineering (General). Civil engineering (General); TD Environmental technology. Sanitary engineering
• Online Access: http://eprints.um.edu.my/44315/; https://doi.org/10.1016/j.eswa.2023.121616

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 po...