相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Proposing two new metaheuristic algorithms of ALO-MLP and SHO-MLP in predicting bearing capacity of circular footing located on horizontal multilayer soil
Wensheng Liu et al.
ENGINEERING WITH COMPUTERS (2021)
Optimization of state-of-the-art fuzzy-metaheuristic ANFIS-based machine learning models for flood susceptibility prediction mapping in the Middle Ganga Plain, India
Aman Arora et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2021)
A GIS based flood vulnerability modelling of Anambra State using an integrated IVFRN-DEMATEL-ANP model
E. C. Chukwuma et al.
HELIYON (2021)
Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling?
Binh Thai Pham et al.
JOURNAL OF HYDROLOGY (2021)
A novel hybrid quantum-PSO and credal decision tree ensemble for tropical cyclone induced flash flood susceptibility mapping with geospatial data
Phuong-Thao Thi Ngo et al.
JOURNAL OF HYDROLOGY (2021)
Flash Flood Susceptibility Mapping at Andungbiru Watershed, East Java Using AHP-Information Weighted Method
Devi Ratna Handini et al.
Geosfera Indonesia (2021)
Flood susceptibility mapping and assessment using a novel deep learning model combining multilayer perceptron and autoencoder neural networks
Mohammad Ahmadlou et al.
JOURNAL OF FLOOD RISK MANAGEMENT (2021)
Deep learning neural networks for spatially explicit prediction of flash flood probability
Mahdi Panahi et al.
GEOSCIENCE FRONTIERS (2021)
Integrated Framework for Detecting the Areas Prone to Flooding Generated by Flash-Floods in Small River Catchments
Romulus Costache et al.
WATER (2021)
Hybrid Models Incorporating Bivariate Statistics and Machine Learning Methods for Flash Flood Susceptibility Assessment Based on Remote Sensing Datasets
Jun Liu et al.
REMOTE SENSING (2021)
Evaluating urban flood risk using hybrid method of TOPSIS and machine learning
Elham Rafiei-Sardooi et al.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION (2021)
Predicting flood susceptibility using LSTM neural networks
Zhice Fang et al.
JOURNAL OF HYDROLOGY (2021)
Flood Susceptibility Modeling in a Subtropical Humid Low-Relief Alluvial Plain Environment: Application of Novel Ensemble Machine Learning Approach
Manish Pandey et al.
FRONTIERS IN EARTH SCIENCE (2021)
Improved flood susceptibility mapping using a best first decision tree integrated with ensemble learning techniques
Binh Thai Pham et al.
GEOSCIENCE FRONTIERS (2021)
Prediction of the sorption efficiency of heavy metal onto biochar using a robust combination of fuzzy C-means clustering and back-propagation neural network
Bo Ke et al.
JOURNAL OF ENVIRONMENTAL MANAGEMENT (2021)
Flood susceptibility mapping by integrating frequency ratio and index of entropy with multilayer perceptron and classification and regression tree
Yi Wang et al.
JOURNAL OF ENVIRONMENTAL MANAGEMENT (2021)
Exploring the utility of radar and satellite-sensed precipitation and their dynamic bias correction for integrated prediction of flood and landslide hazards
Sheng Wang et al.
JOURNAL OF HYDROLOGY (2021)
Long-term vegetation restoration increases deep soil carbon storage in the Northern Loess Plateau
Zhilong Lan et al.
SCIENTIFIC REPORTS (2021)
Drought Monitoring over Yellow River Basin from 2003-2019 Using Reconstructed MODIS Land Surface Temperature in Google Earth Engine
Xiaoyang Zhao et al.
REMOTE SENSING (2021)
A Comprehensive Evaluation of Five Evapotranspiration Datasets Based on Ground and GRACE Satellite Observations: Implications for Improvement of Evapotranspiration Retrieval Algorithm
Lijun Chao et al.
REMOTE SENSING (2021)
Flash Flood Susceptibility Assessment and Zonation Using an Integrating Analytic Hierarchy Process and Frequency Ratio Model for the Chitral District, Khyber Pakhtunkhwa, Pakistan
Hassan Waqas et al.
WATER (2021)
Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method
Farzaneh Sajedi Hosseini et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2020)
Flood susceptibility mapping by ensemble evidential belief function and binomial logistic regression model on river basin of eastern India
Indrajit Chowdhuri et al.
ADVANCES IN SPACE RESEARCH (2020)
Verification of novel integrations of swarm intelligence algorithms into deep learning neural network for flood susceptibility mapping
Quang-Thanh Bui et al.
JOURNAL OF HYDROLOGY (2020)
Flood susceptibility mapping using convolutional neural network frameworks
Yi Wang et al.
JOURNAL OF HYDROLOGY (2020)
Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier
Himan Shahabi et al.
REMOTE SENSING (2020)
Flash-Flood Susceptibility Assessment Using Multi-Criteria Decision Making and Machine Learning Supported by Remote Sensing and GIS Techniques
Romulus Costache et al.
REMOTE SENSING (2020)
Identification of areas prone to flash-flood phenomena using multiple-criteria decision-making, bivariate statistics, machine learning and their ensembles
Romulus Costache et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2020)
Novel hybrid models between bivariate statistics, artificial neural networks and boosting algorithms for flood susceptibility assessment
Romulus Costache et al.
JOURNAL OF ENVIRONMENTAL MANAGEMENT (2020)
Multi-Branch Deep Residual Learning for Clustering and Beamforming in User-Centric Network
Yuan He et al.
IEEE COMMUNICATIONS LETTERS (2020)
Novel Ensembles of Deep Learning Neural Network and Statistical Learning for Flash-Flood Susceptibility Mapping
Romulus Costache et al.
WATER (2020)
Application of probabilistic method in maximum tsunami height prediction considering stochastic seabed topography
Zhenhao Zhang et al.
NATURAL HAZARDS (2020)
Flash Flood Susceptibility Modeling and Magnitude Index Using Machine Learning and Geohydrological Models: A Modified Hybrid Approach
Samy Elmahdy et al.
REMOTE SENSING (2020)
A comprehensive system of definitions of land surface (topographic) curvatures, with implications for their application in geoscience modelling and prediction
Jozef Minar et al.
EARTH-SCIENCE REVIEWS (2020)
A hybrid runoff generation modelling framework based on spatial combination of three runoff generation schemes for semi-humid and semi-arid watersheds
Yuhuan Liu et al.
JOURNAL OF HYDROLOGY (2020)
Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA)
M. Ahmadlou et al.
GEOCARTO INTERNATIONAL (2019)
Rainfall-Runoff Modelling Using Hydrological Connectivity Index and Artificial Neural Network Approach
Haniyeh Asadi et al.
WATER (2019)
Flash-Flood Potential assessment in the upper and middle sector of Prahova river catchment (Romania). A comparative approach between four hybrid models
Romulus Costache
SCIENCE OF THE TOTAL ENVIRONMENT (2019)
Comparison of bathymetric data sources used in hydraulic modelling of floods
Ludek Bures et al.
JOURNAL OF FLOOD RISK MANAGEMENT (2019)
A GIS-Based Support Vector Machine Model for Flash Flood Vulnerability Assessment and Mapping in China
Junnan Xiong et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2019)
A novel hybrid approach based on a swarm intelligence optimized extreme learning machine for flash flood susceptibility mapping
Dieu Tien Bui et al.
CATENA (2019)
A comparative study of support vector machine and logistic model tree classifiers for shallow landslide susceptibility modeling
Mousa Abedini et al.
ENVIRONMENTAL EARTH SCIENCES (2019)
Prediction Success of Machine Learning Methods for Flash Flood Susceptibility Mapping in the Tafresh Watershed, Iran
Saeid Janizadeh et al.
SUSTAINABILITY (2019)
Landslide Susceptibility Prediction Using Particle-Swarm-Optimized Multilayer Perceptron: Comparisons with Multilayer-Perceptron-Only, BP Neural Network, and Information Value Models
Deying Li et al.
APPLIED SCIENCES-BASEL (2019)
Flood Hazard Mapping Using the Flood and Flash-Flood Potential Index in the Buzau River Catchment, Romania
Mihnea Cristian Popa et al.
WATER (2019)
Identification of torrential valleys using GIS and a novel hybrid integration of artificial intelligence, machine learning and bivariate statistics
Romulus Costache et al.
CATENA (2019)
Characteristics and influencing factors of rainfall-induced landslide and debris flow hazards in Shaanxi Province, China
Ke Zhang et al.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2019)
Relief-based feature selection: Introduction and review
Ryan J. Urbanowicz et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2018)
Coupled prediction of flash flood response and debris flow occurrence: Application on an alpine extreme flood event
Elisa Destro et al.
JOURNAL OF HYDROLOGY (2018)
Integration of multi-parametric fuzzy analytic hierarchy process and GIS along the UNESCO World Heritage: a flood hazard index, Mombasa County, Kenya
Yves Hategekimana et al.
NATURAL HAZARDS (2018)
A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
Khabat Khosravi et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2018)
Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naive Bayes tree for landslide susceptibility modeling
Wei Chen et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2018)
Modified Flash Flood Potential Index in order to estimate areas with predisposition to water accumulation
Roxana Tincu et al.
OPEN GEOSCIENCES (2018)
Rainfall-runoff modelling using Long Short-Term Memory (LSTM) networks
Frederik Kratzert et al.
HYDROLOGY AND EARTH SYSTEM SCIENCES (2018)
Historic flood events in NE Romania (post-1990)
Gheorghe Romanescu et al.
JOURNAL OF MAPS (2017)
Flash flood susceptibility assessment in Jeddah city (Kingdom of Saudi Arabia) using bivariate and multivariate statistical models
Ahmed M. Youssef et al.
ENVIRONMENTAL EARTH SCIENCES (2016)
Deep feature weighting for naive Bayes and its application to text classification
Liangxiao Jiang et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2016)
Flood susceptibility assessment using GIS-based support vector machine model with different kernel types
Mahyat Shafapour Tehrany et al.
CATENA (2015)
Assessment and mapping of flood potential in the Slănic catchment in Romania
LILIANA ZAHARIA et al.
Journal of Earth System Science (2015)
PROMETHEE II and fuzzy AHP: an enhanced GIS-based landslide susceptibility mapping
Majid Shadman Roodposhti et al.
NATURAL HAZARDS (2014)
Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms
Mohammad Zare et al.
ARABIAN JOURNAL OF GEOSCIENCES (2013)
Curve Number Determination Methods and Uncertainty in Hydrologic Soil Groups from Semiarid Watershed Data
Dave Stewart et al.
JOURNAL OF HYDROLOGIC ENGINEERING (2012)
Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naive Bayes Models
Dieu Tien Bui et al.
MATHEMATICAL PROBLEMS IN ENGINEERING (2012)
Flash flood forecasting, warning and risk management: the HYDRATE project
M. Borga et al.
ENVIRONMENTAL SCIENCE & POLICY (2011)
A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods
Chia-Chi Sun
EXPERT SYSTEMS WITH APPLICATIONS (2010)
Modelling the impact of urbanization on flood frequency relationships in the UK
Thomas R. Kjeldsen
HYDROLOGY RESEARCH (2010)
Comparing a 1D hydraulic model with a 2D hydraulic model for the simulation of extreme glacial outburst floods
Petteri Alho et al.
HYDROLOGICAL PROCESSES (2008)