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Best optimizer selection for predicting bushfire occurrences using deep learning 期刊论文
Natural Hazards, 2020, 卷号: 103, 期号: 1
作者:  Halgamuge M.N.;  Daminda E.;  Nirmalathas A.
收藏  |  浏览/下载：33/0  |  提交时间：2021/09/01
Accuracy  Adadelta  Adagrad  Adam  Bushfire  Deep learning  Nadam  Optimizers  Prediction  RMSprop  SGD  Sparse data  
A radar reflectivity data assimilation method based on background-dependent hydrometeor retrieval: An observing system simulation experiment 期刊论文
, 2020, 卷号: 243
作者:  Chen H.;  Chen Y.;  Gao J.;  Sun T.;  Carlin J.T.
收藏  |  浏览/下载：26/0  |  提交时间：2020/07/28
Clouds  Information retrieval  Radar  Reflection  Search engines  Background information  Numerical weather prediction  Observing system simulation experiments  Precipitation forecast  Radar reflectivities  Temperature and humidities  Traditional approaches  Weather research and forecasting models  Weather forecasting  accuracy assessment  atmospheric convection  data assimilation  hydrometeorology  radar  reflectivity  severe weather  simulation  weather forecasting  
Early postfire response of a northern range margin coast redwood forest community 期刊论文
, 2020, 卷号: 462
作者:  Woodward B.D.;  Romme W.H.;  Evangelista P.H.
收藏  |  浏览/下载：42/0  |  提交时间：2020/07/28
Decision trees  Fire resistance  Regression analysis  Wood  High severity fires  Pacific Northwest  Prediction accuracy  Pseudotsuga menziesii  Recursive Partitioning  Sequoia sempervirens  Species specifics  Western United States  Forestry  abundance  accuracy assessment  coniferous forest  coniferous tree  fire  forest dynamics  forest management  prediction  survivorship  Fire Resistance  Forestry  Pacific Northwest  Pseudotsuga Menziesii  Regression Analysis  Wood  Pacific Northwest  United States  Lithocarpus  Pseudotsuga  Pseudotsuga menziesii  Pseudotsuga menziesii var. menziesii  Rhododendron  Rhododendron macrophyllum  Sequoia sempervirens  
Nonlinear mixed-effects height to crown base model based on both airborne LiDAR and field datasets for Picea crassifolia Kom trees in northwest China 期刊论文
, 2020, 卷号: 474
作者:  Yang Z.;  Liu Q.;  Luo P.;  Ye Q.;  Sharma R.P.;  Duan G.;  Zhang H.;  Fu L.
收藏  |  浏览/下载：37/0  |  提交时间：2020/07/28
Calibration  Forecasting  Optical radar  Random processes  Remote sensing  Best linear unbiased predictions  Diameter-at-breast heights  Field-based measurements  Forest growth and yield  Initiation and propagation  Light detection and ranging  Nonlinear mixed effects  Prediction accuracy  Forestry  accuracy assessment  airborne survey  canopy architecture  data set  deciduous forest  field method  forestry modeling  height determination  lidar  nonlinearity  yield response  Accuracy  Calibration  Forecasts  Forestry  Random Processes  Remote Sensing  Tree Dimensions  Trees  China  Gansu  Picea crassifolia  
Application of random forest algorithm in hail forecasting over Shandong Peninsula 期刊论文
, 2020, 卷号: 244
作者:  Yao H.;  Li X.;  Pang H.;  Sheng L.;  Wang W.
收藏  |  浏览/下载：24/0  |  提交时间：2020/07/28
Decision trees  Precipitation (meteorology)  Random forests  Storms  European centre for medium-range weather forecasts  Forecast probabilities  Forecasting modeling  Generalization Error  Meteorological station  Physical quantities  Random forest algorithm  Simulation accuracy  Weather forecasting  accuracy assessment  algorithm  computer simulation  forecasting method  forest dynamics  hail  prediction  China  Shandong  Shandong Peninsula