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| Comparison of different methodologies for rainfall–runoff modeling: machine learning vs conceptual approach 期刊论文
Natural Hazards, 2021, 卷号: 105, 期号: 3
作者: Adnan R.M.; Petroselli A.; Heddam S.; Santos C.A.G.; Kisi O.
  收藏 | 浏览/下载：48/0 | 提交时间：2021/09/01
EBA4SUB Hourly rainfall–runoff modeling Machine learning Physically event-based conceptual method |
| Evaluation of spatial probability of landslides using bivariate and multivariate approaches in the Goriganga valley, Kumaun Himalaya, India 期刊论文
Natural Hazards, 2021
作者: Kumar S.; Gupta V.
收藏 | 浏览/下载：39/0 | 提交时间：2021/09/01
Bivariate method Goriganga River valley Himalaya Landslides Machine learning method Uttarakhand |
| Landslide hazard assessment based on Bayesian optimization–support vector machine in Nanping City, China 期刊论文
Natural Hazards, 2021
作者: Xie W.; Nie W.; Saffari P.; Robledo L.F.; Descote P.-Y.; Jian W.
收藏 | 浏览/下载：39/0 | 提交时间：2021/09/01
Bayesian optimization method GIS Landslide hazard assessment Machine learning Support vector machine |
| Petrophysical characterization of deep saline aquifers for CO2 storage using ensemble smoother and deep convolutional autoencoder 期刊论文
, 2020, 卷号: 142
作者: Liu M.; Grana D.
收藏 | 浏览/下载：31/0 | 提交时间：2020/07/28
Aquifers Boreholes Carbon capture Carbon dioxide Convolution Digital storage Forecasting Geological surveys Hydrogeology Inverse problems Large dataset Offshore oil well production Petrophysics Porosity Seismology Stochastic systems Carbon dioxide sequestration Deep saline aquifers Ensemble-based method Machine learning methods Monitoring measurements Petro-physical characterizations Petrophysical properties Stochastic approach Learning systems accuracy assessment aquifer carbon dioxide carbon sequestration carbon storage leakage monitoring permeability physical property porosity precision underground storage |
| 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：26/0 | 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 |
| Multiscale groundwater level forecasting: Coupling new machine learning approaches with wavelet transforms 期刊论文
, 2020, 卷号: 141
作者: Rahman A.T.M.S.; Hosono T.; Quilty J.M.; Das J.; Basak A.
收藏 | 浏览/下载：30/0 | 提交时间：2020/07/28
Decision trees Forecasting Groundwater Irrigation Machine learning Neural networks Water quality Water supply Gradient boosting Groundwater level forecasting Irrigation scheduling Key Issues Land development Land subsidence Machine learning approaches Real-world scenario Wavelet transforms forecasting method groundwater machine learning transform water level water quality wavelet analysis Japan Kumamoto Kyushu |
| PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media 期刊论文
, 2020, 卷号: 138
作者: Santos J.E.; Xu D.; Jo H.; Landry C.J.; Prodanović M.; Pyrcz M.J.
收藏 | 浏览/下载：30/0 | 提交时间：2020/07/28
Binary images Convolution Deep learning Deep neural networks Flow fields Flow of fluids Forecasting Learning systems Mechanical permeability Network architecture Porous materials Velocity Disruptive technology Fluid velocity field Geometrical informations Machine learning models Orders of magnitude Spatial relationships Subsurface formations Surrogate model Convolutional neural networks artificial neural network digital image flow modeling fluid flow permeability porous medium prediction rock mechanics surrogate method three-dimensional modeling |
| 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：31/0 | 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 |
| Year-to-year crown condition poorly contributes to ring width variations of beech trees in French ICP level I network 期刊论文
, 2020, 卷号: 465
作者: Tallieu C.; Badeau V.; Allard D.; Nageleisen L.-M.; Bréda N.
收藏 | 浏览/下载：46/0 | 提交时间：2020/07/28
Biohazards Climatology Damage detection Decision trees Drought Machine learning Plants (botany) Random forests Soil moisture Climate Dendrochronology Fagus sylvatica Forest health monitoring Water balance Forestry atmospheric pollution canopy architecture deciduous tree dendrochronology fertility forest ecosystem montane forest soil water survey method tree ring water stress Drought Fagus Sylvatica Forestry Growth Meteorology Monitoring Trees Variations Central Europe Fagus Fagus sylvatica |
| Translating preclinical models to humans 期刊论文
, 2020, 卷号: 367, 期号: 6479
作者: Brubaker D.K.; Lauffenburger D.A.
收藏 | 浏览/下载：42/0 | 提交时间：2020/07/28
detection method model Article bioengineering biomedicine cell differentiation cell proliferation computer model conceptual framework DNA sequence drug development epithelium cell gene expression profiling high throughput sequencing human machine learning molecular dynamics nonhuman phenotype priority journal proteomics RNA sequence sex difference signal transduction T lymphocyte transcription regulation transcriptomics translational research |
