Pipeline Defect Detection Cloud System Using Role Encryption and Hybrid Information-Reference-Cited by-同舟云学术

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Pipeline Defect Detection Cloud System Using Role Encryption and Hybrid Information

Published:2019 Issue:3 Volume:61 Page:1245-1260
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Li Ce,Shang Xinyu,Zhang Liguo,Yang Feng,Zheng Jing,Xu Xianlei

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Novel EMD with Optimal Mode Selector, MFCC, and 2DCNN for Leak Detection and Localization in Water Pipeline;Applied Sciences;2023-12-01

2. Pipeline Inner Surface 3D Reconstruction and Depth Prediction Based on Fast-MVSNet for Intelligent Sewer Robot Vision;2023 China Automation Congress (CAC);2023-11-17

3. A Novel Robotic-Vision-Based Defect Inspection System for Bracket Weldments in a Cloud–Edge Coordination Environment;Sustainability;2023-07-10

4. Enhanced Visual Pipeline Defect Detection Using Partial Convolution Image Restoration;2021 International Conference on Signal Processing and Machine Learning (CONF-SPML);2021-11

5. A Method for Classification of Surface Defect on Metal Workpieces Based on Twin Attention Mechanism Generative Adversarial Network;IEEE Sensors Journal;2021-06-15

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