Pipeline image diagnosis algorithm based on neural immune ensemble learning-Reference-Cited by-同舟云学术

Pipeline image diagnosis algorithm based on neural immune ensemble learning

Published:2021-02 Issue: Volume:189 Page:104249
ISSN:0308-0161
Container-title:International Journal of Pressure Vessels and Piping
language:en
Short-container-title:International Journal of Pressure Vessels and Piping

Author:

Yu Xiao,Lu YuHua,Gao Qiang

Funder

Natural Science Foundation of Tianjin City

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference20 articles.

1. OpenCV-based infrared image preprocessing algorithm;Zang;J. Automobile Applied Technology.,2013

2. Pedestrian detection based on adaptive selection of visible light or far-infrared light camera image by fuzzy inference system and convolutional neural network-based verification;Kyu;J. Sensors,2017

3. A target extraction method of infrared image based on edge and transition region;Yue;J. Spectrosc. Spectr. Anal.,2018

4. Detection of infrared small targets using feature fusion convolutional network;Wang;J. IEEE Access,2019

5. Deep I earning based target detection method for abnormal hot spots infrared images of transmission and transformation equipment;Liu;J.Southern Power System Technology,2019

Cited by 32 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. Lightweight real-time hand segmentation leveraging MediaPipe landmark detection;Virtual Reality;2023-09-05

2. Structural integrity and sealing behaviour of bolted flange joint: A state of art review;International Journal of Pressure Vessels and Piping;2023-08

3. Leveraging Machine Learning for Pipeline Condition Assessment;Journal of Pipeline Systems Engineering and Practice;2023-08

4. Infrared and visible image fusion based on VPDE model and VGG network;Applied Intelligence;2023-07-28

5. BOSF-SVM: A thermal image-based fault diagnosis method of circuit boards;Journal of Intelligent & Fuzzy Systems;2023-01-30