Hyperclustering: High-Order Deep/Shallow Feature Clustering for Subway Shield Tunneling Water Leakage Detection

Hyperclustering: High-Order Deep/Shallow Feature Clustering for Subway Shield Tunneling Water Leakage Detection

Existing tunneling water leakage detection techniques primarily focus on traditional machine learning models, such as decision trees, SVMs, and random forests. These models struggle to handle large-scale and complex sensor data. More recent efforts using deep learning models like CNNs and RNNs also...

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Bibliographic Details
Main Authors: Jianjun Xu, Xing Yuan, Lixiao Zheng, Da Lin
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
HyperClustering
subway shield tunneling
water leakage detection
multimodal fusion
GMM
Online Access:https://ieeexplore.ieee.org/document/11007135/
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https://ieeexplore.ieee.org/document/11007135/

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