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Journal: Energies, 2024
Volume: 17
Number: 5824
Article:
Corrosion Rate Prediction of Buried Oil and Gas Pipelines: A New Deep Learning Method Based on RF and IBWO-Optimized BiLSTM–GRU Combined Model
Authors:
by
Jiong Wang, Zhi Kong, Jinrong Shan, Chuanjia Du and Chengjun Wang
Link:
https://www.mdpi.com/1996-1073/17/23/5824
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