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Junwei Ma
Junwei Ma
Zweryfikowany adres z cug.edu.cn
Tytuł
Cytowane przez
Cytowane przez
Rok
Establishment of a deformation forecasting model for a step-like landslide based on decision tree C5. 0 and two-step cluster algorithms: a case study in the Three Gorges …
J Ma, H Tang, X Liu, X Hu, M Sun, Y Song
Landslides 14, 1275-1281, 2017
962017
Probabilistic forecasting of landslide displacement accounting for epistemic uncertainty: a case study in the Three Gorges Reservoir area, China
J Ma, H Tang, X Liu, T Wen, J Zhang, Q Tan, Z Fan
Landslides 15, 1145-1153, 2018
902018
A hybrid intelligent approach for constructing landslide displacement prediction intervals
Y Wang, H Tang, T Wen, J Ma
Applied Soft Computing 81, 105506, 2019
872019
Identification of causal factors for the Majiagou landslide using modern data mining methods
J Ma, H Tang, X Hu, A Bobet, M Zhang, T Zhu, Y Song, MAM Ez Eldin
Landslides 14, 311-322, 2017
862017
A comparative study of different machine learning methods for reservoir landslide displacement prediction
Y Wang, H Tang, J Huang, T Wen, J Ma, J Zhang
Engineering Geology, 106544, 2022
792022
Metaheuristic-based support vector regression for landslide displacement prediction: A comparative study
J Ma, D Xia, H Guo, Y Wang, X Niu, Z Liu, S Jiang
Landslides 19 (10), 2489-2511, 2022
742022
A comprehensive comparison among metaheuristics (MHs) for geohazard modeling using machine learning: Insights from a case study of landslide displacement prediction
J Ma, D Xia, Y Wang, X Niu, S Jiang, Z Liu, H Guo
Engineering Applications of Artificial Intelligence 114, 105150, 2022
722022
Evaluation of methods for determining crack initiation stress under compression
T Wen, H Tang, J Ma, Y Wang
Engineering Geology 235, 81-97, 2018
662018
A comparative study of mutual information-based input variable selection strategies for the displacement prediction of seepage-driven landslides using optimized support vector …
J Ma, Y Wang, X Niu, S Jiang, Z Liu
Stochastic Environmental Research and Risk Assessment 36 (10), 3109-3129, 2022
562022
Combined forecasting model with CEEMD-LCSS reconstruction and the ABC-SVR method for landslide displacement prediction
J Zhang, H Tang, DD Tannant, C Lin, D Xia, X Liu, Y Zhang, J Ma
Journal of Cleaner Production 293, 126205, 2021
552021
Energy analysis of the deformation and failure process of sandstone and damage constitutive model
T Wen, H Tang, J Ma, Y Liu
KSCE Journal of Civil Engineering 23, 513-524, 2019
552019
Energy evolution: A new perspective on the failure mechanism of purplish-red mudstones from the Three Gorges Reservoir area, China
T Wen, H Tang, L Huang, Y Wang, J Ma
Engineering geology 264, 105350, 2020
482020
Model testing of the spatial–temporal evolution of a landslide failure
J Ma, H Tang, X Hu, A Bobet, R Yong, MAM Ez Eldin
Bulletin of Engineering Geology and the Environment 76, 323-339, 2017
472017
A Hybrid Landslide Displacement Prediction Method Based on CEEMD and DTW-ACO-SVR—Cases Studied in the Three Gorges Reservoir Area
J Zhang, H Tang, W Tao, J Ma, Q Tan, D Xia, X Liu, Y Zhang
Sensors 20 (15), 4287, 2020
362020
Displacement prediction of a complex landslide in the Three Gorges Reservoir Area (China) using a hybrid computational intelligence approach
J Ma, X Niu, H Tang, Y Wang, T Wen, J Zhang
Complexity 2020, 1-15, 2020
362020
Application of 3D laser scanning technology to landslide physical model test
J Ma, HM Tang, XL Hu, R Yong, H Xia, YJ Song
Rock and Soil Mechanics 35 (5), 1495-1505, 2014
34*2014
Evaluation of methods for determining rock brittleness under compression
W Tao, H Tang, Y Wang, J Ma
Journal of Natural Gas Science and Engineering 78, 103321, 2020
322020
Suitability of data preprocessing methods for landslide displacement forecasting
Z Zou, Y Yang, Z Fan, H Tang, M Zou, X Hu, C Xiong, J Ma
Stochastic environmental research and risk assessment 34, 1105-1119, 2020
312020
Model testing and numerical simulation study of evolutionary process of thrust load caused landslide
R Yong, XL Hu, HM Tang, CD Li, JW Ma, YJ Song
Rock Soil Mech 34 (10), 3018-3027, 2013
31*2013
A novel decomposition-ensemble learning model based on ensemble empirical mode decomposition and recurrent neural network for landslide displacement prediction
X Niu, J Ma, Y Wang, J Zhang, H Chen, H Tang
Applied Sciences 11 (10), 4684, 2021
292021
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