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