Gas pipeline defect detection based on improved deep learning approach
(2025)
Journal Article
Zhang, T., Ma, C., Liu, Z., ur Rehman, S., Li, Y., & Saraee, M. (2025). Gas pipeline defect detection based on improved deep learning approach. Expert systems with applications, 267, Article 126212. https://doi.org/10.1016/j.eswa.2024.126212
The working conditions of gas pipelines directly impact urban populations and factory operations. However, accurate and rapid detection of gas pipeline defects is challenging. To improve the accuracy of gas pipeline defect detection, we propose an im... Read More about Gas pipeline defect detection based on improved deep learning approach.