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Viet‐Ha Nhu

ton duc thang university
H指数:26
被引数:2,622
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Correction: Nhu et al. Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models. Water 2020, 12, 985

更正:Nhu et al. 利用新颖的集成双变量和多变量模型对喀斯特含水层系统进行地下水泉点潜力制图。Water 2020, 12, 985

2026-04-050
OAAI
A New Approach Based on Deep Neural Networks and Multisource Geospatial Data for Spatial Prediction of Groundwater Spring Potential
2024-01-012
OA
Deformation forecasting of a hydropower dam by hybridizing a long short-term memory deep learning network with the coronavirus optimization algorithm
2022-01-1237
OA
A novel hybrid quantum-PSO and credal decision tree ensemble for tropical cyclone induced flash flood susceptibility mapping with geospatial data

一种新颖的混合量子PSO和credal决策树集成,用于热带气旋诱发的山洪敏感性与地理空间数据的映射

2021-05-0142
PREAI
Prediction of landslide susceptibility in Rudraprayag, India using novel ensemble of conditional probability and boosted regression tree-based on cross-validation method
2021-04-0190
PREAI
A new hybrid equilibrium optimized SysFor based geospatial data mining for tropical storm-induced flash flood susceptible mapping
2021-02-0117
PREAI
An advanced meta-learner based on artificial electric field algorithm optimized stacking ensemble techniques for enhancing prediction accuracy of soil shear strength

基于人工电场算法的高级元学习算法优化堆叠集成技术,可提高土壤抗剪强度的预测精度

2020-11-0220
OAAI
Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area

基于Keras的深度学习与不同鲁棒优化算法在热带地区浅层滑坡易发性制图中的有效性评估

CATENA
IF5.7
2020-05-01120
PREAI
Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models
2020-03-3159
OA
A tree-based intelligence ensemble approach for spatial prediction of potential groundwater
2020-01-2882
PREAI
Advanced soft computing techniques for predicting soil compression coefficient in engineering project: a comparative study
2019-06-0111
PREAI
A swarm intelligence-based machine learning approach for predicting soil shear strength for road construction: a case study at Trung Luong National Expressway Project (Vietnam)

一种基于群体智能的机器学习方法,用于预测道路施工的土壤抗剪强度: 以Trung Luong国家高速公路项目 (越南) 为例

2018-09-1550
PREAI