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    Intelligent Identification for Imbalanced Oil–Gas Pipeline Defects Based on Triple Attention Mechanism and Dual-Modal Deep Convolution Network 

    Source: Journal of Pipeline Systems Engineering and Practice:;2026:;Volume ( 017 ):;issue: 003:;page 04026023-1
    Author(s): Liao, Chunyan; Liang, Wei; Liu, Shuanglei; Huang, Tianchang; Wu, Linyu
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe class imbalance of crack defects in oil and gas pipelines presents a significant challenge to the diagnosis of pipeline integrity, and the scarcity of high-risk cracks can easily lead to the recognition models ...
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