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Mingchao Li
Mingchao Li
在 tju.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Enhanced NURBS modeling and visualization for large 3D geoengineering applications: an example from the Jinping first-level hydropower engineering project, China
DH Zhong, MC Li, LG Song, G Wang
Computers & Geosciences 32 (9), 1270-1282, 2006
892006
A novel deep learning prediction model for concrete dam displacements using interpretable mixed attention mechanism
Q Ren, M Li, H Li, Y Shen
Advanced Engineering Informatics 50, 101407, 2021
812021
Data mining approach to construction productivity prediction for cutter suction dredgers
S Bai, M Li, R Kong, S Han, H Li, L Qin
Automation in Construction 105, 102833, 2019
782019
A new distributed time series evolution prediction model for dam deformation based on constituent elements
M Li, Y Shen, Q Ren, H Li
Advanced Engineering Informatics 39, 41-52, 2019
732019
Intelligent identification for rock-mineral microscopic images using ensemble machine learning algorithms
Y Zhang, M Li, S Han, Q Ren, J Shi
Sensors 19 (18), 3914, 2019
712019
An optimized combination prediction model for concrete dam deformation considering quantitative evaluation and hysteresis correction
Q Ren, M Li, L Song, H Liu
Advanced Engineering Informatics 46, 101154, 2020
662020
Prediction of ultimate axial capacity of square concrete-filled steel tubular short columns using a hybrid intelligent algorithm
Q Ren, M Li, M Zhang, Y Shen, W Si
Applied Sciences 9 (14), 2802, 2019
642019
On-site text classification and knowledge mining for large-scale projects construction by integrated intelligent approach
D Tian, M Li, J Shi, Y Shen, S Han
Advanced Engineering Informatics 49, 101355, 2021
542021
An enhanced rock mineral recognition method integrating a deep learning model and clustering algorithm
C Liu, M Li, Y Zhang, S Han, Y Zhu
Minerals 9 (9), 516, 2019
472019
Prediction of rock compressive strength using machine learning algorithms based on spectrum analysis of geological hammer
Q Ren, G Wang, M Li, S Han
Geotechnical and Geological Engineering 37, 475-489, 2019
472019
Seepage and stress analysis of anti-seepage structures constructed with different concrete materials in an RCC gravity dam
M Li, X Guo, J Shi, Z Zhu
Water Science and Engineering 8 (4), 326-334, 2015
472015
3 D visual construction of complex engineering rock mass structure and its application.
DH Zhong, MC Li, JM Yang
Yanshilixue Yu Gongcheng Xuebao/Chin. J. Rock Mech. Eng. 24 (4), 575-580, 2005
472005
Tectonic discrimination of olivine in basalt using data mining techniques based on major elements: a comparative study from multiple perspectives
Q Ren, M Li, S Han
Big Earth Data 3 (1), 8-25, 2019
462019
Automated classification analysis of geological structures based on images data and deep learning model
Y Zhang, G Wang, M Li, S Han
Applied Sciences 8 (12), 2493, 2018
462018
A robust prediction model for displacement of concrete dams subjected to irregular water‐level fluctuations
Q Ren, M Li, H Li, L Song, W Si, H Liu
Computer‐Aided Civil and Infrastructure Engineering 36 (5), 577-601, 2021
422021
Multiple mechanical properties prediction of hydraulic concrete in the form of combined damming by experimental data mining
M Zhang, M Li, Y Shen, Q Ren, J Zhang
Construction and Building Materials 207, 661-671, 2019
402019
Dam break threshold value and risk probability assessment for an earth dam
D Zhong, Y Sun, M Li
Natural hazards 59, 129-147, 2011
382011
DRLSTM: A dual-stage deep learning approach driven by raw monitoring data for dam displacement prediction
M Li, M Li, Q Ren, H Li, L Song
Advanced Engineering Informatics 51, 101510, 2022
372022
Digital twin-driven virtual sensor approach for safe construction operations of trailing suction hopper dredger
M Li, Q Lu, S Bai, M Zhang, H Tian, L Qin
Automation in Construction 132, 103961, 2021
352021
Onset detection of ultrasonic signals for the testing of concrete foundation piles by coupled continuous wavelet transform and machine learning algorithms
M Zhang, M Li, J Zhang, L Liu, H Li
Advanced Engineering Informatics 43, 101034, 2020
352020
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