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Taorui Zeng
Taorui Zeng
Verified email at cug.edu.cn
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Year
Ensemble learning framework for landslide susceptibility mapping: Different basic classifier and ensemble strategy
T Zeng, L Wu, D Peduto, T Glade, YS Hayakawa, K Yin
Geoscience Frontiers 14 (6), 101645, 2023
362023
Landslide displacement prediction based on Variational mode decomposition and MIC-GWO-LSTM model
Z Taorui, J Hongwei, L Qingli, Y Kunlong
Stochastic Environmental Research and Risk Assessment 36 (5), 1353-1372, 2022
302022
Groundwater level prediction based on a combined intelligence method for the Sifangbei landslide in the Three Gorges Reservoir Area
T Zeng, K Yin, H Jiang, X Liu, Z Guo, D Peduto
Scientific Reports 12 (1), 11108, 2022
182022
Susceptibility analysis of land subsidence along the transmission line in the salt lake area based on remote sensing interpretation
B Jin, K Yin, Q Li, L Gui, T Yang, B Zhao, B Guo, T Zeng, Z Ma
Remote Sensing 14 (13), 3229, 2022
162022
Landslide susceptibility mapping in the Loess Plateau of northwest China using three data-driven techniques-a case study from middle Yellow River catchment
Z Guo, B Tian, G Li, D Huang, T Zeng, J He, D Song
Frontiers in Earth Science 10, 1033085, 2023
152023
Study on compaction characteristics and construction control of mixtures of red clay and gravel
B Zeng, L Wang, Y Tian, T Zeng, B Li
Advances in Civil Engineering 2018, 1-8, 2018
142018
Assessing the imperative of conditioning factor grading in machine learning-based landslide susceptibility modeling: A critical inquiry
T Zeng, B Jin, T Glade, Y Xie, Y Li, Y Zhu, K Yin
Catena 236, 107732, 2024
132024
Tempo-spatial landslide susceptibility assessment from the perspective of human engineering activity
T Zeng, Z Guo, L Wang, B Jin, F Wu, R Guo
Remote Sensing 15 (16), 4111, 2023
132023
Deep learning powered long-term warning systems for reservoir landslides
T Zeng, T Glade, Y Xie, K Yin, D Peduto
International journal of disaster risk reduction 94, 103820, 2023
122023
Hazard assessment for regional typhoon-triggered landslides by using physically-based model–a case study from southeastern China
Z Guo, B Tian, J He, C Xu, T Zeng, Y Zhu
Georisk: Assessment and Management of Risk for Engineered Systems and …, 2023
112023
Quantitative risk assessment of the Shilongmen reservoir landslide in the Three Gorges area of China
T Zeng, K Yin, L Gui, D Peduto, L Wu, Z Guo, Y Li
Bulletin of Engineering Geology and the Environment 82 (6), 214, 2023
102023
The Prediction of Transmission Towers’ Foundation Ground Subsidence in the Salt Lake Area Based on Multi-Temporal Interferometric Synthetic Aperture Radar and Deep Learning
B Jin, T Zeng, T Yang, L Gui, K Yin, B Guo, B Zhao, Q Li
Remote Sensing 15 (19), 4805, 2023
52023
Advanced integration of ensemble learning and MT-InSAR for enhanced slow-moving landslide susceptibility zoning
T Zeng, L Wu, YS Hayakawa, K Yin, L Gui, B Jin, Z Guo, D Peduto
Engineering Geology, 107436, 2024
42024
Double-index rainfall warning and probabilistic physically based model for fast-moving landslide hazard analysis in subtropical-typhoon area
T Zeng, Q Gong, L Wu, Y Zhu, K Yin, D Peduto
Landslides 21 (4), 753-773, 2024
32024
Dynamic landslide susceptibility mapping based on the PS-InSAR deformation intensity
B Jin, T Zeng, K Yin, L Gui, Z Guo, T Wang
Environmental Science and Pollution Research 31 (5), 7872-7888, 2024
22024
Rutile and zircon U-Pb dating as a constraint on sedimentary provenance of the Jianchuan Basin: Implications for paleo-drainage evolution
R Guo, X Sun, D Chew, F Drakou, Z Zhang, Y Li, C Wei, T Zeng, ...
Geomorphology 456, 109208, 2024
2024
Advanced risk assessment framework for land subsidence impacts on transmission towers in Salt Lake region
B Jin, T Zeng, T Wang, Z Zhang, L Gui, K Yin, B Zhao
Environmental Modelling & Software, 106058, 2024
2024
Correction: Zeng et al. Tempo-Spatial Landslide Susceptibility Assessment from the Perspective of Human Engineering Activity. Remote Sens. 2023, 15, 4111
T Zeng, Z Guo, L Wang, B Jin, F Wu, R Guo
Remote Sensing 15 (23), 5549, 2023
2023
Landslide susceptibility mapping based on the deformation intensity
B Jin, T Zeng, K Yin, L Gui, Z Guo, T Wang
2023
Uncertainty research of landslide susceptibility mapping based deep ensemble learning: different basic classifier and ensemble strategy
T Zeng, K Yin, L Wu
EGU General Assembly Conference Abstracts, EGU-2445, 2023
2023
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