Secure fuzzy retrieval protocol for multiple datasets DOI
Jie Zhou,

Deng Jiao,

Shengke Zeng

et al.

Computer Networks, Journal Year: 2024, Volume and Issue: 255, P. 110891 - 110891

Published: Nov. 9, 2024

Integrated natural language processing method for text mining and visualization of underground engineering text reports DOI
Ruiqi Shao, Peng Lin, Zhenhao Xu

et al.

Automation in Construction, Journal Year: 2024, Volume and Issue: 166, P. 105636 - 105636

Published: July 24, 2024

Language: Английский

Citations

4
Multi-modal denoised data-driven milling chatter detection using an optimized hybrid neural network architecture DOI Creative Commons
Haining Gao, Haoyu Wang,

Hongdan Shen

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 31, 2025

Chatter, a type of self-excited vibration, deteriorates surface quality and reduces tool life machining efficiency. Chatter detection serves as an effective approach to achieve stable cutting. To address the low accuracy in chatter caused by limitations both one-dimensional temporal two-dimensional image modal information, this study proposes multi-modal denoised data-driven milling method using optimized hybrid neural network architecture. A data denoising model combining Complementary Ensemble Empirical Mode Decomposition (CEEMD) Singular Value (SVD) is established. The Ivy algorithm employed optimize hyperparameters CEEMD-SVD. Multi-modal features different states are then obtained time–frequency domain methods Markov transition field methods. Sensitivity analysis conducted Pearson correlation coefficient analysis. (DBMA) for constructed integrating dual-scale parallel convolutional networks, bidirectional gated recurrent units, multi-head attention mechanisms. utilized DBMA. t-SNE visualize extracted from layers model. Results demonstrate that signals use can significantly improve state detection. Compared with other methods, proposed exhibits superior stability robustness.

Language: Английский

Citations

0
Data-driven visual model development and 3D visual analytics framework for underground mining DOI
Ruiyu Liang, Chengguo Zhang, Binghao Li

et al.

Tunnelling and Underground Space Technology, Journal Year: 2024, Volume and Issue: 153, P. 106054 - 106054

Published: Aug. 31, 2024

Language: Английский

Citations

1
Secure fuzzy retrieval protocol for multiple datasets DOI
Jie Zhou,

Deng Jiao,

Shengke Zeng

et al.

Computer Networks, Journal Year: 2024, Volume and Issue: 255, P. 110891 - 110891

Published: Nov. 9, 2024

Citations

0