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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 |
| 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 |
| 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 |
| 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 |
| Prediction of droughts over Pakistan using machine learning algorithms 期刊论文
, 2020, 卷号: 139
作者: Khan N.; Sachindra D.A.; Shahid S.; Ahmed K.; Shiru M.S.; Nawaz N.
收藏 | 浏览/下载：39/0 | 提交时间：2020/07/28
Atmospheric humidity Climate change Drought Forecasting Learning algorithms Nearest neighbor search Neural networks Support vector machines Wind Atmospheric research K nearest neighbours (k-NN) K-nearest neighbours National centres for environmental predictions Pakistan Recursive feature elimination Temporal and spatial Vulnerable communities Learning systems algorithm artificial neural network climate prediction drought machine learning numerical model precipitation (climatology) Arabian Sea Caspian Sea Indian Ocean Pakistan |
| Identifying groundwater contaminant sources based on a KELM surrogate model together with four heuristic optimization algorithms 期刊论文
, 2020, 卷号: 138
作者: Zhao Y.; Qu R.; Xing Z.; Lu W.
收藏 | 浏览/下载：26/0 | 提交时间：2020/07/28
Contamination Efficiency Genetic algorithms Groundwater Groundwater pollution Heuristic algorithms Knowledge acquisition Learning algorithms Machine learning Modular robots Particle swarm optimization (PSO) Quantum computers Contaminant concentrations Contaminant sources Extreme learning machine Groundwater contaminants Heuristic optimization algorithms Heuristic search algorithms Source characteristics Traditional genetic algorithms Computational efficiency accuracy assessment genetic algorithm groundwater pollution identification method machine learning optimization reliability analysis surrogate method |
| Seeing macro-dispersivity from hydraulic conductivity field with convolutional neural network 期刊论文
, 2020, 卷号: 138
作者: Zhou Z.; Shi L.; Zha Y.
收藏 | 浏览/下载：32/0 | 提交时间：2020/07/28
Convolution Deep learning Deep neural networks Groundwater Groundwater pollution Hydraulic conductivity Learning algorithms Learning systems Porous materials Solute transport Contaminant transport Convolutional neural work Groundwater environment Heterogeneity Macrodispersivity Quantitative relations Spatial heterogeneity Trained neural networks Convolutional neural networks algorithm artificial neural network computer simulation groundwater heterogeneity hydraulic conductivity machine learning |
