Enhancing data reuse in tunnelling site investigation through transfer learning-based historical data mining

Enhancing data reuse in tunnelling site investigation through transfer learning-based historical data mining

Vast amounts of valuable historical tunnelling site investigation data remain underutilized due to inefficient content-based archiving and searching tools. This study introduces a novel data-driven framework that integrates transfer learning with reverse image search to revolutionize the utilization...

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Bibliographic Details
Main Authors: Jiawei Xie, Baolin Chen, Shui-Hua Jiang, Hongyu Guo, Si Xie, Jinsong Huang
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-08-01
Series:Underground Space
Subjects:
Data reuse
Reverse image search
Transfer learning
Site investigation
Historical data mining
Online Access:http://www.sciencedirect.com/science/article/pii/S246796742500039X
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http://www.sciencedirect.com/science/article/pii/S246796742500039X

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