As civil structures age and deteriorate, it becomes crucial to conduct structural health
monitoring (SHM) to ensure safety and timely maintenance. Surface defect detection plays a …

The underground tunnel structure is important and common in transport infrastructures. With
the increasing service time, it is crucial to detect the deteriorations in the ageing tunnel …

Due to the damage of sensors or transmission equipment, abnormal monitoring data
inevitably exists in the measured raw data, and it significantly impacts the condition …

The spatial information of rockhead is crucial for the design and construction of tunneling or
underground excavation. Although the conventional site investigation methods (ie borehole …

This paper presents a hybrid ensemble classifier combined synthetic minority oversampling
technique (SMOTE), random search (RS) hyper-parameters optimization algorithm and …

This paper proposes an image-based method for automated rock fracture segmentation and
fracture trace quantification. It is integrated using a CNN-based model named FraSegNet, a …

Landslide displacement prediction can enhance the efficacy of landslide monitoring system,
and the prediction of the periodic displacement is particularly challenging. In the previous …

This paper develops a deep learning-based approach that extends the PANet model by
adding a semantic branch which refines the process of crack evaluation to reduce …

To address the dual challenges of complex environmental interference and multiscale
targets in deep learning-based tunnel lining defect identification, a novel segmentation …

Tunnel boring machine (TBM) vibration induced by cutting complex ground contains
essential information that can help engineers evaluate the interaction between a cutterhead …