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Investigating the application of artificial intelligence for earthquake prediction in Terengganu 期刊论文
Natural Hazards, 2021, 卷号: 108, 期号: 1
作者:  Marhain S.;  Ahmed A.N.;  Murti M.A.;  Kumar P.;  El-Shafie A.
收藏  |  浏览/下载:66/0  |  提交时间:2021/09/01
Artificial intelligence  Boosted decision tree regression  Earthquake prediction  Machine learning algorithm  Multivariate adaptive regression spline  Pearson correlation coefficient  Random forest  Support vector machine  Uncertainty analysis  
An evaluation of various data pre-processing techniques with machine learning models for water level prediction 期刊论文
Natural Hazards, 2021
作者:  Tiu E.S.K.;  Huang Y.F.;  Ng J.L.;  AlDahoul N.;  Ahmed A.N.;  Elshafie A.
收藏  |  浏览/下载:43/0  |  提交时间:2021/09/01
Artificial neural network  Bagging  Boosting  River water level prediction  Support vector regression  Variational Mode Decomposition  
Comparing classical statistic and machine learning models in landslide susceptibility mapping in Ardanuc (Artvin), Turkey 期刊论文
Natural Hazards, 2021, 卷号: 108, 期号: 2
作者:  Akinci H.;  Zeybek M.
收藏  |  浏览/下载:14/0  |  提交时间:2021/09/01
GIS  Landslide susceptibility assessment  Logistic regression  Random forest  Support vector machine  
Landslide zonation and assessment of Farizi watershed in northeastern Iran using data mining techniques 期刊论文
Natural Hazards, 2021, 卷号: 108, 期号: 3
作者:  Naemitabar M.;  Zanganeh Asadi M.
收藏  |  浏览/下载:8/0  |  提交时间:2021/09/01
Farizi watershed  Landslide  Logistic model tree (LMT)  Support vector machine (SVM)  The boosted regression trees (BRT) model  The random forest (RF) algorithm  
Bagging-based machine learning algorithms for landslide susceptibility modeling 期刊论文
Natural Hazards, 2021
作者:  Zhang T.;  Fu Q.;  Wang H.;  Liu F.;  Wang H.;  Han L.
收藏  |  浏览/下载:34/0  |  提交时间:2021/09/01
Bagging  Best-first decision tree  Classification and regression tree  Functional tree  Landslide susceptibility  Support vector machine  
A novel hybrid spatiotemporal land use regression model system at the megacity scale 期刊论文
ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 244
作者:  Wang J.;  Xu H.
收藏  |  浏览/下载:33/0  |  提交时间:2022/01/18
Air pollution  Epidemiology  Land use regression model  Long-term exposure  Spatiotemporal  Support vector regression  
A novel integrated method based on a machine learning model for estimating evapotranspiration in dryland 期刊论文
JOURNAL OF HYDROLOGY, 2021, 卷号: 603
作者:  Fu, Tonglin;  Li, Xinrong;  Jia, Rongliang;  Feng, Li
收藏  |  浏览/下载:24/0  |  提交时间:2022/04/28
ARTIFICIAL NEURAL-NETWORK  SUPPORT-VECTOR-MACHINE  DECOMPOSITION  EVAPORATION  ALGORITHM  REGRESSION  EQUATIONS  MARS  SVM  ELM  
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  
Optimized multi-output machine learning system for engineering informatics in assessing natural hazards 期刊论文
Natural Hazards, 2020, 卷号: 101, 期号: 3
作者:  Chou J.-S.;  Truong D.-N.;  Che Y.
收藏  |  浏览/下载:20/0  |  提交时间:2021/09/01
Accelerated particle swarm optimization  Computer-aided engineering informatics  Least squares support vector regression  Multi-output machine learning  Natural hazards assessment  System design and implementation  
Hydrological hotspots of climatic influence in Brazil: A two-step regularization approach 期刊论文
, 2020, 卷号: 246
作者:  Ndehedehe C.E.;  Haile G.G.;  Agutu N.O.;  Ferreira V.G.;  Getirana A.;  Okwuashi O.
收藏  |  浏览/下载:32/0  |  提交时间:2020/07/28
Climatology  Investments  Support vector machines  Support vector regression  Water resources  Impact assessments  Precipitation indices  Regularization approach  Regularization procedure  Support vector machine regressions  Teleconnection patterns  Water infrastructure  Water resources planning  Drought  climate effect  drought  global climate  hydrometeorology  precipitation assessment  regression analysis  support vector machine  teleconnection  Brazil