Yangtao Li - researchr alias

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Viewing Publication 1 - 6 from 6

2023

A robust real-time method for identifying hydraulic tunnel structural defects using deep learning and computer visionYangtao Li, Tengfei Bao, Tianyu Li, Ruijie Wang. cacie, 38(10):1381-1399, 2023. [doi]

Multi-expert attention network for long-term dam displacement predictionYuhang Zhou, Tengfei Bao, Guoli Li, Xiaosong Shu, Yangtao Li. aei, 57:102060, August 2023. [doi]

2022

VAE-TALSTM: a temporal attention and variational autoencoder-based long short-term memory framework for dam displacement predictionXiaosong Shu, Tengfei Bao, Yangtao Li, Jian Gong, Kang Zhang 0003. ewc, 38(4):3497-3512, 2022. [doi]

2021

A Novel Seepage Behavior Prediction and Lag Process Identification Method for Concrete Dams Using HGWO-XGBoost ModelKang Zhang, Chongshi Gu, Yantao Zhu, Siyu Chen, Bo Dai, Yangtao Li, Xiaosong Shu. access, 9:23311-23325, 2021. [doi]

2020

The Prediction of Dam Displacement Time Series Using STL, Extra-Trees, and Stacked LSTM Neural NetworkYangtao Li, Tengfei Bao, Jian Gong, Xiaosong Shu, Kang Zhang. access, 8:94440-94452, 2020. [doi]

Dam Safety Evaluation Based on Interval-Valued Intuitionistic Fuzzy Sets and Evidence TheoryXiaosong Shu, Tengfei Bao, Yangtao Li, Kang Zhang, Bangbin Wu. sensors, 20(9):2648, 2020. [doi]

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