default author photo

Jianli Wang

Southeast University

Banani, Dhaka, Bangladesh

Dhaka

Bangladesh

  • Southeast University

SCHOLARLY PAPERS

1

DOWNLOADS

31

TOTAL CITATIONS

0

Scholarly Papers (1)

Actions:
Email selected abstracts
1.

Quantitative Assessment of Pipeline Defects Utilizing a Dual-Stage Deep Learning Framework: Integration of Pretrained Yolov8 and Cnn Architectures on Magnetic Flux Leakage Data

Number of pages: 19 Posted: 13 May 2024
Jialiang Xie, Jie Yang, Kuan Fu, Linxi Tai, Xia Wang, Jianjun Zhu and Jianli Wang
Southeast University, Southeast University, PipeChina, Southeast University, No.4 Construction Company of China Petroleum Pipeline Engineering Co., Ltd., China University of Petroleum (Beijing) and Southeast University
Downloads 31 (1,304,549)

Abstract:

Loading...

Magnetic flux leakage, Pipeline defect detection, Cascaded deep-learning method, Multi-input parallel convolution