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An Integrated CNN-BiLSTM-Adaboost Framework for Accurate Pipeline Residual Strength Prediction

To ensure the economy and safety of the pipelines, the study of the residual strength of corrosion pipelines is key to determining whether the pipelines can continue to operate. There is often a conflict between accuracy and convenience. Artificial intelligence algorithms offer the advantages of hig...

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Main Authors: Qian Lu, Yina Wang, Cheng Gu, Yingqing Guo, Jingfei Yang, Hang Xiao, Zhenfa Yang
Format: Artigo
Language:Inglês
Published: MDPI AG 2025-08-01
Series:Applied Sciences
Subjects:
CNN-BiLSTM-Adaboost algorithm
residual strength
prediction model
Online Access:https://www.mdpi.com/2076-3417/15/16/9059
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