Lu, Q.; Wang, Y.; Gu, C.; Guo, Y.; Yang, J.; Xiao, H.; Yang, Z.
An Integrated CNN-BiLSTM-Adaboost Framework for Accurate Pipeline Residual Strength Prediction. Appl. Sci. 2025, 15, 9059.
https://doi.org/10.3390/app15169059
AMA Style
Lu Q, Wang Y, Gu C, Guo Y, Yang J, Xiao H, Yang Z.
An Integrated CNN-BiLSTM-Adaboost Framework for Accurate Pipeline Residual Strength Prediction. Applied Sciences. 2025; 15(16):9059.
https://doi.org/10.3390/app15169059
Chicago/Turabian Style
Lu, Qian, Yina Wang, Cheng Gu, Yingqing Guo, Jingfei Yang, Hang Xiao, and Zhenfa Yang.
2025. "An Integrated CNN-BiLSTM-Adaboost Framework for Accurate Pipeline Residual Strength Prediction" Applied Sciences 15, no. 16: 9059.
https://doi.org/10.3390/app15169059
APA Style
Lu, Q., Wang, Y., Gu, C., Guo, Y., Yang, J., Xiao, H., & Yang, Z.
(2025). An Integrated CNN-BiLSTM-Adaboost Framework for Accurate Pipeline Residual Strength Prediction. Applied Sciences, 15(16), 9059.
https://doi.org/10.3390/app15169059