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Identification of cracks in pipelines based on machine learning and deep learning
(2022)
Pipelines are important long-distance transportation structures in modern industry, and because
many are buried deep underground, pipeline health monitoring is critical to industry; however,
inspecting underground pipelines ...
Boosting feature extraction performance on the aspect of representation learning efficiency
(2022)
Machine learning is famous for its automatic data handling. While there is a
slow growth in the performance of the state-of-the-art models in the most recent
well-known learning frameworks, the number of parameters and ...