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Quantification of the concrete freeze-thaw environment across the Qinghai-Tibet Plateau based on machine learning algorithms 期刊论文
JOURNAL OF MOUNTAIN SCIENCE, 2024, 卷号: 21, 期号: 1
作者:  Qin, Yanhui;  Ma, Haoyuan;  Zhang, Lele;  Yin, Jinshuai;  Zheng, Xionghui;  Li, Shuo
收藏  |  浏览/下载：22/0  |  提交时间：2024/03/01
Freeze-thaw cycles  Quantification  Machine learning algorithms  Qinghai-Tibet Plateau  Concrete  
Key predisposing factors and susceptibility assessment of landslides along the Yunnan-Tibet traffic corridor, Tibetan plateau: Comparison with the LR, RF, NB, and MLP techniques 期刊论文
FRONTIERS IN EARTH SCIENCE, 2023, 卷号: 10
作者:  Wang, Sen;  Ling, Sixiang;  Wu, Xiyong;  Wen, Hong;  Huang, Junpeng;  Wang, Feng;  Sun, Chunwei
收藏  |  浏览/下载：4/0  |  提交时间：2024/03/01
landslide susceptibility  machine learning algorithms  variable importance  three rivers region  yunnan-tibet traffic corridor  
Short-term wind speed time series forecasting based on a hybrid method with multiple objective optimization for non-convex target 期刊论文
ENERGY, 2021, 卷号: 215
作者:  Dong, Yunxuan;  Wang, Jing;  Xiao, Ling;  Fu, Tonglin
收藏  |  浏览/下载：30/0  |  提交时间：2022/04/28
ENERGY MANAGEMENT  NEURAL-NETWORK  COMBINATION  ALGORITHMS  
A data-driven approach to generate past GRACE-like terrestrial water storage solution by calibrating the land surface model simulations 期刊论文
, 2020, 卷号: 143
作者:  Jing W.;  Di L.;  Zhao X.;  Yao L.;  Xia X.;  Liu Y.;  Yang J.;  Li Y.;  Zhou C.
收藏  |  浏览/下载：36/0  |  提交时间：2020/07/28
Decision trees  Digital storage  Evapotranspiration  Geodetic satellites  Groundwater  Learning systems  Soil moisture  Surface measurement  Water conservation  Water supply  Data-driven approach  Ensemble learning algorithm  Gravity recovery and climate experiment satellites  Groundwater storage  Land surface modeling  Machine learning models  Terrestrial water storage  Variable importances  Learning algorithms  
Tools for enhancing the application of self-organizing maps in water resources research and engineering 期刊论文
, 2020, 卷号: 143
作者:  Clark S.;  Sisson S.A.;  Sharma A.
收藏  |  浏览/下载：28/0  |  提交时间：2020/07/28
Application programs  Clustering algorithms  Conformal mapping  Data mining  Heuristic methods  Self organizing maps  Environmental measurements  Exploratory analysis  High dimensional data  Hydrologic applications  Modifying parameters  Parameter selection  Training parameters  Water resource systems  Water resources  
Machine learning in geo- and environmental sciences: From small to large scale 期刊论文
, 2020, 卷号: 142
作者:  Tahmasebi P.;  Kamrava S.;  Bai T.;  Sahimi M.
收藏  |  浏览/下载：19/0  |  提交时间：2020/07/28
Big data  Deep learning  Flow of fluids  Geology  Learning systems  Pattern recognition  Porous materials  Basic concepts  Complex pattern  Environmental science  Fluid flow in porous media  Hydrological modeling  Ml algorithms  Recent progress  Surface characterization  Learning algorithms  
Combining statistical machine learning models with ARIMA for water level forecasting: The case of the Red river 期刊论文
, 2020, 卷号: 142
作者:  Phan T.-T.-H.;  Nguyen X.H.
收藏  |  浏览/下载：22/0  |  提交时间：2020/07/28
Autoregressive moving average model  Cost effectiveness  Disaster prevention  Forecasting  Learning algorithms  Water levels  Water resources  Auto-regressive integrated moving average  Computational time  Cost-effective solutions  Linear and nonlinear models  Physically based models  Statistical machine learning  Time series forecasting  Water level forecasting  Machine learning  data set  flood forecasting  forecasting method  hydrological modeling  machine learning  numerical model  performance assessment  river water  water level  Hanoi  Red River [Asia]  Viet Nam  
Generating high-resolution daily soil moisture by using spatial downscaling techniques: a comparison of six machine learning algorithms 期刊论文
, 2020, 卷号: 141
作者:  Liu Y.;  Jing W.;  Wang Q.;  Xia X.
收藏  |  浏览/下载：32/0  |  提交时间：2020/07/28
Decision trees  Land surface temperature  Learning systems  Nearest neighbor search  Neural networks  Object oriented programming  Soil moisture  Support vector machines  Support vector regression  Surveying  Topography  Vegetation  Classification and regression tree  Correlation coefficient  Digital elevation model  Geographic coordinates  High spatial resolution  K nearest neighbor (KNN)  Machine learning techniques  Normalized difference vegetation index  Learning algorithms  algorithm  comparative study  correlation  data set  digital elevation model  downscaling  machine learning  NDVI  soil moisture  spatial analysis  surface temperature  Australia  China  North America  Qinghai-Xizang Plateau  Spain  
Pore structure characterization through path-finding and Lattice Boltzmann simulation 期刊论文
, 2020, 卷号: 141
作者:  Viberti D.;  Peter C.;  Salina Borello E.;  Panini F.
收藏  |  浏览/下载：16/0  |  提交时间：2020/07/28
Binary images  Geometry  Graph algorithms  Graph theory  Numerical methods  Pore size  Effective pore radius  Geological formation  Geometrical analysis  Lattice boltzmann methods (LBM)  Lattice Boltzmann simulations  Path-finding algorithms  Pore network geometry  Pore structure characterizations  Pore structure  algorithm  computer simulation  flow field  hydrodynamics  model test  model validation  numerical model  pore pressure  porosity  porous medium  theoretical study  tortuosity  
A genetic programming-based model for drag coefficient of emergent vegetation in open channel flows 期刊论文
, 2020, 卷号: 140
作者:  Liu M.-Y.;  Huai W.-X.;  Yang Z.-H.;  Zeng Y.-H.
收藏  |  浏览/下载：26/0  |  提交时间：2020/07/28
Banks (bodies of water)  Circular cylinders  Drag  Drag coefficient  Genetic algorithms  Genetic programming  Reynolds number  Vegetation  Aquatic environments  Blockage ratio  Derived formulae  Emergent vegetation  Ergun equation  Hydrodynamic process  Natural selection  Vegetation density  Open channel flow  drag coefficient  hydrodynamics  machine learning  modeling  open channel flow  vegetation