On the public citation graph

Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS

https://doi.org/10.1016/j.jhydrol.2016.06.027
0 signed · 455 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/(sici)1099-0526(199705/06)2:5<39::aid-cplx8>3.0.co;2-lopenalex-snapshot
An introduction to genetic algorithms
inferredcites →https://doi.org/10.1002/2014gl061859openalex-snapshot
Satellite nighttime lights reveal increasing human exposure to floods worldwide
inferredcites →https://doi.org/10.1002/hyp.5624openalex-snapshot
Advances in the application of the SWAT model for water resources management
inferredcites →https://doi.org/10.1007/978-3-319-05906-8_6openalex-snapshot
A Comparative Assessment Between the Application of Fuzzy Unordered Rules Induction Algorithm and J48 Decision Tree Models in Spatial Prediction of Shallow Landslides at Lang Son City, Vietnam
inferredcites →https://doi.org/10.1007/978-3-319-17738-0_13openalex-snapshot
Spatial Prediction of Landslide Hazard at the Yihuang Area (China): A Comparative Study on the Predictive Ability of Backpropagation Multi-layer Perceptron Neural Networks and Radial Basic Function Neural Networks
inferredcites →https://doi.org/10.1007/s00477-012-0589-6openalex-snapshot
Analysis of dry/wet conditions using the standardized precipitation index and its potential usefulness for drought/flood monitoring in Hunan Province, China
inferredcites →https://doi.org/10.1007/s00477-015-1021-9openalex-snapshot
Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method
inferredcites →https://doi.org/10.1007/s00521-013-1443-6openalex-snapshot
Flood flow forecasting using ANN, ANFIS and regression models
inferredcites →https://doi.org/10.1007/s00704-015-1702-9openalex-snapshot
Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural networks, and functional trees methods
inferredcites →https://doi.org/10.1007/s10346-015-0557-6openalex-snapshot
Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree
inferredcites →https://doi.org/10.1007/s10346-016-0708-4openalex-snapshot
A novel fuzzy K-nearest neighbor inference model with differential evolution for spatial prediction of rainfall-induced shallow landslides in a tropical hilly area using GIS
inferredcites →https://doi.org/10.1007/s10346-016-0711-9openalex-snapshot
Spatial prediction of rainfall-induced landslides for the Lao Cai area (Vietnam) using a hybrid intelligent approach of least squares support vector machines inference model and artificial bee colony optimization
inferredcites →https://doi.org/10.1007/s10666-016-9500-zopenalex-snapshot
Valuing Flood Risk Reductions
inferredcites →https://doi.org/10.1007/s11069-011-9844-2openalex-snapshot
Landslide susceptibility analysis in the Hoa Binh province of Vietnam using statistical index and logistic regression
inferredcites →https://doi.org/10.1007/s11069-016-2304-2openalex-snapshot
Rotation forest fuzzy rule-based classifier ensemble for spatial prediction of landslides using GIS
inferredcites →https://doi.org/10.1007/s11269-005-6808-xopenalex-snapshot
Flood Modeling for Complex Terrain Using GIS and Remote Sensed Information
inferredcites →https://doi.org/10.1007/s11269-013-0278-3openalex-snapshot
Comparison of Artificial Neural Network Methods with L-moments for Estimating Flood Flow at Ungauged Sites: the Case of East Mediterranean River Basin, Turkey
inferredcites →https://doi.org/10.1007/s11721-007-0002-0openalex-snapshot
Particle swarm optimization
inferredcites →https://doi.org/10.1007/s12665-011-1504-zopenalex-snapshot
An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia
inferredcites →https://doi.org/10.1007/s12665-014-3289-3openalex-snapshot
Flood susceptibility mapping using integrated bivariate and multivariate statistical models
inferredcites →https://doi.org/10.1007/s12665-015-4866-9openalex-snapshot
Spatial prediction of landslide hazard at the Luxi area (China) using support vector machines
inferredcites →https://doi.org/10.1007/s12665-016-5434-7openalex-snapshot
Probabilistic landslide risk assessment of a historic and cultural site on the north slope of Lishan Mountain, Xian, China
inferredcites →https://doi.org/10.1016/0022-1694(82)90155-xopenalex-snapshot
Quantifying source areas through land surface curvature and shape
inferredcites →https://doi.org/10.1016/0022-1694(84)90159-8openalex-snapshot
Testing a physically-based flood forecasting model (TOPMODEL) for three U.K. catchments
inferredcites →https://doi.org/10.1016/j.advwatres.2008.10.006openalex-snapshot
Hydrological modeling using a dynamic neuro-fuzzy system with on-line and local learning algorithm
inferredcites →https://doi.org/10.1016/j.asoc.2014.11.012openalex-snapshot
The application of ANFIS prediction models for thermal error compensation on CNC machine tools
inferredcites →https://doi.org/10.1016/j.asoc.2016.04.031openalex-snapshot
Groutability estimation of grouting processes with cement grouts using Differential Flower Pollination Optimized Support Vector Machine
inferredcites →https://doi.org/10.1016/j.cageo.2011.10.031openalex-snapshot
Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS
inferredcites →https://doi.org/10.1016/j.catena.2014.10.017openalex-snapshot
Flood susceptibility assessment using GIS-based support vector machine model with different kernel types
inferredcites →https://doi.org/10.1016/j.ecolind.2014.12.028openalex-snapshot
A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape
inferredcites →https://doi.org/10.1016/j.ejrs.2012.07.002openalex-snapshot
Techniques of Remote Sensing and GIS for flood monitoring and damage assessment: A case study of Sindh province, Pakistan
inferredcites →https://doi.org/10.1016/j.geomorph.2004.06.010openalex-snapshot
The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan
inferredcites →https://doi.org/10.1016/j.geomorph.2012.04.023openalex-snapshot
Landslide susceptibility assessment in the Hoa Binh province of Vietnam: A comparison of the Levenberg–Marquardt and Bayesian regularized neural networks
inferredcites →https://doi.org/10.1016/j.geomorph.2014.12.033openalex-snapshot
Lithologic and hydrologic controls of mixed alluvial–bedrock channels in flood-prone fluvial systems: Bankfull and macrochannels in the Llano River watershed, central Texas, USA
inferredcites →https://doi.org/10.1016/j.gloenvcha.2015.09.004openalex-snapshot
Ensemble flood risk assessment in Europe under high end climate scenarios
inferredcites →https://doi.org/10.1016/j.gsf.2014.02.009openalex-snapshot
Effect of climate change on seasonal monsoon in Asia and its impact on the variability of monsoon rainfall in Southeast Asia
inferredcites →https://doi.org/10.1016/j.ijsrc.2016.02.002openalex-snapshot
Coupling the k-nearest neighbor procedure with the Kalman filter for real-time updating of the hydraulic model in flood forecasting
inferredcites →https://doi.org/10.1016/j.jaridenv.2011.11.025openalex-snapshot
Roles of saltcedar (Tamarix spp.) and capillary rise in salinizing a non-flooding terrace on a flow-regulated desert river
inferredcites →https://doi.org/10.1016/j.jhydrol.2003.12.010openalex-snapshot
A neuro-fuzzy computing technique for modeling hydrological time series
inferredcites →https://doi.org/10.1016/j.jhydrol.2007.10.050openalex-snapshot
Regional flood frequency analysis at ungauged sites using the adaptive neuro-fuzzy inference system
inferredcites →https://doi.org/10.1016/j.jhydrol.2009.06.005openalex-snapshot
Ensemble flood forecasting: A review
inferredcites →https://doi.org/10.1016/j.jhydrol.2009.08.015openalex-snapshot
Effect of topographic data, geometric configuration and modeling approach on flood inundation mapping
inferredcites →https://doi.org/10.1016/j.jhydrol.2010.07.003openalex-snapshot
Assimilation of spatially distributed water levels into a shallow-water flood model. Part II: Use of a remote sensing image of Mosel River
inferredcites →https://doi.org/10.1016/j.jhydrol.2012.03.031openalex-snapshot
Hydrological time series modeling: A comparison between adaptive neuro-fuzzy, neural network and autoregressive techniques
inferredcites →https://doi.org/10.1016/j.jhydrol.2013.02.022openalex-snapshot
Runoff forecasting using a Takagi–Sugeno neuro-fuzzy model with online learning
inferredcites →https://doi.org/10.1016/j.jhydrol.2013.09.034openalex-snapshot
Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS
inferredcites →https://doi.org/10.1016/j.jhydrol.2014.03.008openalex-snapshot
Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS
inferredcites →https://doi.org/10.1016/j.jhydrol.2015.02.007openalex-snapshot
Synergistic gains from the multi-objective optimal operation of cascade reservoirs in the Upper Yellow River basin
inferredcites →https://doi.org/10.1016/j.jhydrol.2015.10.024openalex-snapshot
AI techniques for optimizing multi-objective reservoir operation upon human and riverine ecosystem demands
inferredcites →https://doi.org/10.1016/j.jhydrol.2016.01.056openalex-snapshot
A nonlinear spatio-temporal lumping of radar rainfall for modeling multi-step-ahead inflow forecasts by data-driven techniques
inferredcites →https://doi.org/10.1016/j.jhydrol.2016.04.057openalex-snapshot
Hydrograph estimation with fuzzy chain model
inferredcites →https://doi.org/10.1016/j.neucom.2008.01.032openalex-snapshot
An analysis of data distribution in the ClassAge system: An agent-based system for classification tasks
inferredcites →https://doi.org/10.1016/j.scitotenv.2015.08.055openalex-snapshot
Assessment of flood hazard areas at a regional scale using an index-based approach and Analytical Hierarchy Process: Application in Rhodope–Evros region, Greece
inferredcites →https://doi.org/10.1016/j.soildyn.2004.04.006openalex-snapshot
Data generation for shear modulus and damping ratio in reinforced sands using adaptive neuro-fuzzy inference system
inferredcites →https://doi.org/10.1016/j.worlddev.2014.12.017openalex-snapshot
Natural Disasters, Household Welfare, and Resilience: Evidence from Rural Vietnam
inferredcites →https://doi.org/10.1016/s0022-1694(00)00344-9openalex-snapshot
Comparison of short-term rainfall prediction models for real-time flood forecasting
inferredcites →https://doi.org/10.1017/s0007114511001164openalex-snapshot
Proline betaine and its biotransformation products in fasting urine samples are potential biomarkers of habitual citrus fruit consumption
inferredcites →https://doi.org/10.1023/a:1008045419517openalex-snapshot
Floodplain Management in Urban Developing Areas. Part II. GIS-Based Flood Analysis and Urban Growth Modelling
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1023/a:1022602019183openalex-snapshot
Genetic Algorithms and Machine Learning
inferredcites →https://doi.org/10.1023/b:nhaz.0000024897.71471.f2openalex-snapshot
Using Historical Documents for Landslide, Debris Flow and Stream Flood Prevention. Applications in Northern Italy
inferredcites →https://doi.org/10.1029/2003wr002721openalex-snapshot
Upscaling hydraulic conductivity by means of entropy of terrain curvature representation
inferredcites →https://doi.org/10.1029/2004wr003562openalex-snapshot
Short‐term flood forecasting with a neurofuzzy model
inferredcites →https://doi.org/10.1029/2006wr005563openalex-snapshot
Understanding catchment behavior through stepwise model concept improvement
inferredcites →https://doi.org/10.1061/(asce)1084-0699(1999)4:3(232)openalex-snapshot
Rainfall-Runoff Modeling Using Artificial Neural Networks
inferredcites →https://doi.org/10.1061/(asce)1084-0699(2001)6:2(91)openalex-snapshot
Distributed Watershed Model Compatible with Remote Sensing and GIS Data. I: Description of Model
inferredcites →https://doi.org/10.1061/(asce)1084-0699(2006)11:6(515)openalex-snapshot
Flood Estimation by GIUH-Based Clark and Nash Models
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000557openalex-snapshot
A Novel Relevance Vector Machine Classifier with Cuckoo Search Optimization for Spatial Prediction of Landslides
inferredcites →https://doi.org/10.1061/(asce)he.1943-5584.0000040openalex-snapshot
Flood Forecasting Using ANN, Neuro-Fuzzy, and Neuro-GA Models
inferredcites →https://doi.org/10.1080/01431160310001598926openalex-snapshot
Improving tropical forest mapping using multi-date Landsat TM data and pre-classification image smoothing
inferredcites →https://doi.org/10.1080/01431168608948944openalex-snapshot
Satellite remote sensing of primary production
inferredcites →https://doi.org/10.1080/10106049.2015.1130086openalex-snapshot
Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy
inferredcites →https://doi.org/10.1080/17538947.2016.1169561openalex-snapshot
Spatial prediction of rainfall-induced shallow landslides using hybrid integration approach of Least-Squares Support Vector Machines and differential evolution optimization: a case study in Central Vietnam
inferredcites →https://doi.org/10.1080/19475705.2013.843206openalex-snapshot
A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam)
inferredcites →https://doi.org/10.1108/s2040-7262(2012)0000010017openalex-snapshot
Chapter 11 Community-Based Disaster Risk Management Experience of the Philippines
inferredcites →https://doi.org/10.1108/s2040-7262(2012)10openalex-snapshot
Community-Based Disaster Risk Reduction
inferredcites →https://doi.org/10.1109/cec.2000.870267openalex-snapshot
Proceedings of the 2000 Congress on Evolutionary Computation
inferredcites →https://doi.org/10.1109/cec.2001.934374openalex-snapshot
Particle swarm optimization: developments, applications and resources
inferredcites →https://doi.org/10.1109/icsmc.1997.637339openalex-snapshot
A discrete binary version of the particle swarm algorithm
inferredcites →https://doi.org/10.1109/igarss.2012.6351414openalex-snapshot
Application of frequency ratio model and validation for predictive flooded area susceptibility mapping using GIS
inferredcites →https://doi.org/10.1109/igarss20662.2013openalex-snapshot
2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS
inferredcites →https://doi.org/10.1109/mcas.2006.1688199openalex-snapshot
Ensemble based systems in decision making
inferredcites →https://doi.org/10.1111/j.1747-6593.2012.00344.xopenalex-snapshot
Application of surrogate artificial intelligent models for real‐time flood routing
inferredcites →https://doi.org/10.1111/jfr3.12234openalex-snapshot
A methodology for flood susceptibility and vulnerability analysis in complex flood scenarios
inferredcites →https://doi.org/10.1115/1.2123107openalex-snapshot
Data Mining: Concepts, Models, Methods, and Algorithms
inferredcites →https://doi.org/10.1134/s0097807813030123openalex-snapshot
M5 model tree application in daily river flow forecasting in Sohu Stream, Turkey
inferredcites →https://doi.org/10.1142/9789811205675_0004openalex-snapshot
Particle Swarm Optimization
inferredcites →https://doi.org/10.1177/030913330102500104openalex-snapshot
Hydrological modelling using artificial neural networks
inferredcites →https://doi.org/10.1198/tech.2003.s785openalex-snapshot
Data Mining: Concepts, Models, Methods, and Algorithms
inferredcites →https://doi.org/10.1371/journal.pone.0107042openalex-snapshot
Disaggregating Census Data for Population Mapping Using Random Forests with Remotely-Sensed and Ancillary Data
inferredcites →https://doi.org/10.1371/journal.pone.0133262openalex-snapshot
Optimization of Causative Factors for Landslide Susceptibility Evaluation Using Remote Sensing and GIS Data in Parts of Niigata, Japan
inferredcites →https://doi.org/10.1596/978-1-4648-0153-2_ch6openalex-snapshot
Community-Based Disaster Risk Management
inferredcites →https://doi.org/10.2747/1548-1603.46.1.101openalex-snapshot
Inundation Extent and Flood Frequency Mapping Using LANDSAT Imagery and Digital Elevation Models
inferredcites →https://doi.org/10.3390/rs8040347openalex-snapshot
Tropical Forest Fire Susceptibility Mapping at the Cat Ba National Park Area, Hai Phong City, Vietnam, Using GIS-Based Kernel Logistic Regression
inferredcites →https://doi.org/10.4028/www.scientific.net/amr.356-360.2372openalex-snapshot
A Comparison of Parameter Estimation for Distributed Hydrological Modelling Using Automatic and Manual Methods
inferredcites →https://doi.org/10.5194/gmd-6-353-2013openalex-snapshot
Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation
inferredcites →https://doi.org/10.5194/gmd-7-1247-2014openalex-snapshot
Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature
inferredcites →https://doi.org/10.5194/hess-19-4397-2015openalex-snapshot
Identification of spatial and temporal contributions of rainfalls to flash floods using neural network modelling: case study on the Lez basin (southern France)
inferredcites →https://doi.org/10.5194/nhess-11-529-2011openalex-snapshot
An algorithm for operational flood mapping from Synthetic Aperture Radar (SAR) data using fuzzy logic
inferredcites →https://doi.org/10.5194/nhess-9-393-2009openalex-snapshot
Validation of a social vulnerability index in context to river-floods in Germany
inferredcites →https://doi.org/10.5555/944919.944968openalex-snapshot
An introduction to variable and feature selection
inferredcites →https://doi.org/10.7551/mitpress/3927.001.0001openalex-snapshot
An Introduction to Genetic Algorithms

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4664323openalex-extracted
Management and Evaluation of Flood Risk Zoning in the Catchment Area with Combined Methods of Maximum Entropy and Apg (Case Study: Aji Chai Catchment Area)
inferred← citeshttps://doi.org/10.1002/9781119639268.ch5openalex-snapshot
Regression‐Based Machine Learning Approaches for Daily Streamflow Modeling
inferred← citeshttps://doi.org/10.1002/gj.4709openalex-snapshot
RETRACTED: Systematic review on gully erosion measurement, modelling and management: Mitigation alternatives and policy recommendations
inferred← citeshttps://doi.org/10.1002/ird.2745openalex-snapshot
Modelling flood susceptibility in northern Iran: Application of five well‐known machine‐learning models
inferred← citeshttps://doi.org/10.1007/978-3-030-39391-5_8openalex-snapshot
Neuro-fuzzy Techniques and Natural Risk Management. Applications of ANFIS Models in Floods and Comparison with Other Models
inferred← citeshttps://doi.org/10.1007/978-3-030-94426-1_4openalex-snapshot
A Proposal for Crop Damage Assessment by Floods Based on an Integrated Approach Relying on Copernicus Sentinel Data and DTMs
inferred← citeshttps://doi.org/10.1007/978-3-319-68240-2_4openalex-snapshot
An Integration of Least Squares Support Vector Machines and Firefly Optimization Algorithm for Flood Susceptible Modeling Using GIS
inferred← citeshttps://doi.org/10.1007/978-981-16-1726-3_220openalex-snapshot
Design of Horse Race Registration System Based on Wireless Network and Simulation System
inferred← citeshttps://doi.org/10.1007/978-981-16-7314-6_12openalex-snapshot
Predicting the Landslide Susceptibility Using Ensembles of Bagging with RF and REPTree in Logchina, Bhutan
inferred← citeshttps://doi.org/10.1007/978-981-16-7314-6_9openalex-snapshot
Measuring Landslide Susceptibility of Phuentsholling, Bhutan Using Novel Ensemble Machine Learning Methods
inferred← citeshttps://doi.org/10.1007/978-981-99-4101-8_10openalex-snapshot
Categorization of Urban Basin According to the Runoff Depth: Case Study of Katsushika Ward and Edogawa City Basin, Japan
inferred← citeshttps://doi.org/10.1007/s00366-020-00977-1openalex-snapshot
Design and implementation of a new tuned hybrid intelligent model to predict the uniaxial compressive strength of the rock using SFS-ANFIS
inferred← citeshttps://doi.org/10.1007/s00477-020-01862-5openalex-snapshot
Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms
inferred← citeshttps://doi.org/10.1007/s00477-022-02179-1openalex-snapshot
Flood susceptibility mapping in an arid region of Pakistan through ensemble machine learning model
inferred← citeshttps://doi.org/10.1007/s00477-023-02507-zopenalex-snapshot
Flood susceptibility mapping with ensemble machine learning: a case of Eastern Mediterranean basin, Türkiye
inferred← citeshttps://doi.org/10.1007/s00500-021-05860-9openalex-snapshot
Fault diagnosis of new energy vehicles based on improved machine learning
inferred← citeshttps://doi.org/10.1007/s00521-016-2666-0openalex-snapshot
A novel hybrid artificial intelligent approach based on neural fuzzy inference model and particle swarm optimization for horizontal displacement modeling of hydropower dam
inferred← citeshttps://doi.org/10.1007/s00521-021-05865-3openalex-snapshot
Using machine learning method on calculation of boundary layer height
inferred← citeshttps://doi.org/10.1007/s00521-022-07112-9openalex-snapshot
Intelligent flow discharge computation in a rectangular channel with free overfall condition
inferred← citeshttps://doi.org/10.1007/s00521-024-09909-2openalex-snapshot
Flood subsidence susceptibility mapping using persistent scatterer SAR interferometry technique coupled with novel metaheuristic approaches from Jeddah, Saudi Arabia
inferred← citeshttps://doi.org/10.1007/s10040-019-02017-9openalex-snapshot
Optimization of an adaptive neuro-fuzzy inference system for groundwater potential mapping
inferred← citeshttps://doi.org/10.1007/s10064-019-01687-9openalex-snapshot
The dilemma of determining the superiority of data mining models: optimal sampling balance and end users’ perspectives matter
inferred← citeshttps://doi.org/10.1007/s10098-020-01883-2openalex-snapshot
Artificial neural networks for sustainable development: a critical review
inferred← citeshttps://doi.org/10.1007/s10694-020-01028-3openalex-snapshot
Wildland Fire Burned Areas Prediction Using Long Short-Term Memory Neural Network with Attention Mechanism
inferred← citeshttps://doi.org/10.1007/s11053-019-09465-wopenalex-snapshot
Novel Hybrid Integration Approach of Bagging-Based Fisher’s Linear Discriminant Function for Groundwater Potential Analysis
inferred← citeshttps://doi.org/10.1007/s11069-018-3323-yopenalex-snapshot
Logistic regression model for sinkhole susceptibility due to damaged sewer pipes
inferred← citeshttps://doi.org/10.1007/s11069-019-03821-yopenalex-snapshot
Comparative assessment of bivariate, multivariate and machine learning models for mapping flood proneness
inferred← citeshttps://doi.org/10.1007/s11069-020-04067-9openalex-snapshot
Comparative performance of new hybrid ANFIS models in landslide susceptibility mapping
inferred← citeshttps://doi.org/10.1007/s11069-021-04860-0openalex-snapshot
Exploring the sample size and replications scenarios effect on spatial prediction of flood, using MARS and MaxEnt methods case study: saliantape catchment, Golestan, Iran
inferred← citeshttps://doi.org/10.1007/s11069-021-05142-5openalex-snapshot
Assessment of flood-risk areas using random forest techniques: Busan Metropolitan City
inferred← citeshttps://doi.org/10.1007/s11069-022-05371-2openalex-snapshot
Hypothetical failure of the Khassa Chai dam and flood risk analysis for Kirkuk, Iraq
inferred← citeshttps://doi.org/10.1007/s11069-022-05424-6openalex-snapshot
Novel hybrid models by coupling support vector regression (SVR) with meta-heuristic algorithms (WOA and GWO) for flood susceptibility mapping
inferred← citeshttps://doi.org/10.1007/s11069-022-05701-4openalex-snapshot
Hybrid-based approaches for the flood susceptibility prediction of Kermanshah province, Iran
inferred← citeshttps://doi.org/10.1007/s11069-023-06060-4openalex-snapshot
Prediction of embankments dam break peak outflow: a comparison between empirical equations and ensemble-based machine learning algorithms
inferred← citeshttps://doi.org/10.1007/s11069-023-06106-7openalex-snapshot
Improvement of flood susceptibility mapping by introducing hybrid ensemble learning algorithms and high-resolution satellite imageries
inferred← citeshttps://doi.org/10.1007/s11069-024-06599-wopenalex-snapshot
Probabilistic modeling of dam failure scenarios: a case study of Kanlikoy Dam in Cyprus
inferred← citeshttps://doi.org/10.1007/s11069-024-06670-6openalex-snapshot
Development of risk maps for flood, landslide, and soil erosion using machine learning model
inferred← citeshttps://doi.org/10.1007/s11069-024-06764-1openalex-snapshot
Enhancing flood susceptibility modeling using integration of multi-source satellite imagery and multi-input convolutional neural network
inferred← citeshttps://doi.org/10.1007/s11069-025-07530-7openalex-snapshot
Factors’ feature optimization and flood susceptibility mapping in hilly regions: an Artificial Intelligence approach
inferred← citeshttps://doi.org/10.1007/s11069-026-08371-8openalex-snapshot
Integrated machine-learning and clustering framework for selecting temporary shelters in flood-prone cities
inferred← citeshttps://doi.org/10.1007/s11269-024-03751-wopenalex-snapshot
Prediction of Depth-Averaged Velocity for Flow Though Submerged Vegetation Using Least Squares Support Vector Machine with Bayesian Optimization
inferred← citeshttps://doi.org/10.1007/s11269-024-03917-6openalex-snapshot
Comparison of Hydrological Modeling, Artificial Neural Networks and Multi-Criteria Decision Making Approaches for Determining Flood Source Areas
inferred← citeshttps://doi.org/10.1007/s11269-024-03995-6openalex-snapshot
An Application of Hybrid Bagging-Boosting Decision Trees Ensemble Model for Riverine Flood Susceptibility Mapping and Regional Risk Delineation
inferred← citeshttps://doi.org/10.1007/s11356-021-15886-zopenalex-snapshot
Selecting optimal conditioning parameters for landslide susceptibility: an experimental research on Aqabat Al-Sulbat, Saudi Arabia
inferred← citeshttps://doi.org/10.1007/s11356-022-19903-7openalex-snapshot
Hybrid-based Bayesian algorithm and hydrologic indices for flash flood vulnerability assessment in coastal regions: machine learning, risk prediction, and environmental impact
inferred← citeshttps://doi.org/10.1007/s11356-023-28091-xopenalex-snapshot
Simultaneous identification of groundwater pollution source and important hydrogeological parameters considering the noise uncertainty of observational data
inferred← citeshttps://doi.org/10.1007/s11356-023-29132-1openalex-snapshot
A geospatial approach for assessing urban flood risk zones in Chennai, Tamil Nadu, India
inferred← citeshttps://doi.org/10.1007/s11356-024-33389-5openalex-snapshot
A comparative analysis of feature selection models for spatial analysis of floods using hybrid metaheuristic and machine learning models
inferred← citeshttps://doi.org/10.1007/s11600-023-01146-wopenalex-snapshot
Novel hybrid computational intelligence approaches for predicting daily solar radiation
inferred← citeshttps://doi.org/10.1007/s11600-025-01595-5openalex-snapshot
Integrating energy valley optimization with machine learning for flood susceptibility mapping in Kayseri, Türkiye
inferred← citeshttps://doi.org/10.1007/s11600-025-01666-7openalex-snapshot
Multi-dimensional assessment of flood susceptibility drivers in the urban watershed of Guwahati
inferred← citeshttps://doi.org/10.1007/s11600-025-01769-1openalex-snapshot
A systematic review and comprehensive evaluation of artificial intelligence approaches for prediction flood susceptibility
inferred← citeshttps://doi.org/10.1007/s11600-026-01915-3openalex-snapshot
Mapping flood susceptibility with a stacking ensemble approach: an exemplary case study in Yemen
inferred← citeshttps://doi.org/10.1007/s11676-024-01717-7openalex-snapshot
An enhanced method for predicting and analysing forest fires using an attention-based CNN model
inferred← citeshttps://doi.org/10.1007/s12145-020-00530-0openalex-snapshot
Flood susceptibility assessment using extreme gradient boosting (EGB), Iran
inferred← citeshttps://doi.org/10.1007/s12145-021-00741-zopenalex-snapshot
Evaluating quality of surface water resources by ANN and ANFIS networks using Sentinel-2 satellite data
inferred← citeshttps://doi.org/10.1007/s12145-022-00830-7openalex-snapshot
Evaluation of deep machine learning-based models of soil cumulative infiltration
inferred← citeshttps://doi.org/10.1007/s12145-023-01013-8openalex-snapshot
Flood hazard mapping using M5 tree algorithms and logistic regression: a case study in East Black Sea Region
inferred← citeshttps://doi.org/10.1007/s12145-024-01351-1openalex-snapshot
Integrating Harris Hawks optimization and TensorFlow deep learning for flash flood susceptibility mapping using geospatial data
inferred← citeshttps://doi.org/10.1007/s12403-022-00480-6openalex-snapshot
Hydrogeochemical Evaluation of Groundwater Aquifers and Associated Health Hazard Risk Mapping Using Ensemble Data Driven Model in a Water Scares Plateau Region of Eastern India
inferred← citeshttps://doi.org/10.1007/s12517-018-3584-5openalex-snapshot
Mapping flood susceptibility in an arid region of southern Iraq using ensemble machine learning classifiers: a comparative study
inferred← citeshttps://doi.org/10.1007/s12517-021-07324-8openalex-snapshot
Flood risk assessment using geospatial data and multi-criteria decision approach: a study from historically active flood-prone region of Himalayan foothill, India
inferred← citeshttps://doi.org/10.1007/s12517-021-08610-1openalex-snapshot
Spatial modeling of flood susceptibility using machine learning algorithms
inferred← citeshttps://doi.org/10.1007/s12665-016-5919-4openalex-snapshot
GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks
inferred← citeshttps://doi.org/10.1007/s12665-021-10147-1openalex-snapshot
Knowledge-driven and machine learning decision tree-based approach for assessment of geospatial variation of groundwater quality around coal mining regions, Korba district, Central India
inferred← citeshttps://doi.org/10.1007/s12665-022-10534-2openalex-snapshot
The use of hybrid machine learning models for improving the GALDIT model for coastal aquifer vulnerability mapping
inferred← citeshttps://doi.org/10.1007/s12665-022-10696-zopenalex-snapshot
Flood susceptibility assessment and mapping in a monsoon-dominated tropical river basin using GIS-based data-driven bivariate and multivariate statistical models and their ensemble techniques
inferred← citeshttps://doi.org/10.1007/s12665-023-11007-wopenalex-snapshot
Novel utilization of simulated runoff as causative parameter to predict the hazard of flash floods
inferred← citeshttps://doi.org/10.1007/s12665-024-11618-xopenalex-snapshot
Modeling the total hardness (TH) of groundwater in aquifers using novel hybrid soft computing optimizer models
inferred← citeshttps://doi.org/10.1007/s12665-024-11696-xopenalex-snapshot
Examination of the efficacy of machine learning approaches in the generation of flood susceptibility maps
inferred← citeshttps://doi.org/10.1007/s12665-025-12129-zopenalex-snapshot
Spatial analysis of flood susceptibility in Coastal area of Pakistan using machine learning models and SAR imagery
inferred← citeshttps://doi.org/10.1007/s12665-025-12308-yopenalex-snapshot
Identification of the small-scale scattered flash floods based on high-resolution DEM
inferred← citeshttps://doi.org/10.1007/s13042-018-0846-1openalex-snapshot
Predicting algal appearance on mortar surface with ensembles of adaptive neuro fuzzy models: a comparative study of ensemble strategies
inferred← citeshttps://doi.org/10.1007/s13198-021-01325-2openalex-snapshot
Customer service robot model based on e-commerce dual-channel channel supply coordination and compensation strategy in the perspective of big data
inferred← citeshttps://doi.org/10.1007/s13201-017-0562-0openalex-snapshot
Design of a fuzzy differential evolution algorithm to predict non-deposition sediment transport
inferred← citeshttps://doi.org/10.1007/s13201-022-01599-2openalex-snapshot
Combining high resolution input and stacking ensemble machine learning algorithms for developing robust groundwater potentiality models in Bisha watershed, Saudi Arabia
inferred← citeshttps://doi.org/10.1007/s13753-019-0213-1openalex-snapshot
Social Vulnerability (Re-)Assessment in Context to Natural Hazards: Review of the Usefulness of the Spatial Indicator Approach and Investigations of Validation Demands
inferred← citeshttps://doi.org/10.1007/s40641-023-00192-2openalex-snapshot
Global Review of Modification, Optimization, and Improvement Models for Aquifer Vulnerability Assessment in the Era of Climate Change
inferred← citeshttps://doi.org/10.1007/s40808-022-01424-4openalex-snapshot
Multistep-ahead forecasting for maximum and minimum air temperatures using a new hybrid intelligence tree-based filter classifier
inferred← citeshttps://doi.org/10.1007/s42108-024-00311-1openalex-snapshot
Integration of Logistic Regression and Evidential Belief Function for Flood Risk Assessment in the West Bengal Plain, India
inferred← citeshttps://doi.org/10.1007/s42979-025-04162-3openalex-snapshot
Optimized Soil Moisture Prediction Using RF-PSO and Modified BACO Based Feature Selection
inferred← citeshttps://doi.org/10.1016/b978-0-323-91910-4.00013-3openalex-snapshot
Development of rainfall-runoff model using ANFIS with an integration of GIS: A case study
inferred← citeshttps://doi.org/10.1016/b978-0-443-18764-3.00009-6openalex-snapshot
Groundwater potential assessment in Dobrogea region of Romania using artificial intelligence and bivariate statistics
inferred← citeshttps://doi.org/10.1016/bs.adcom.2025.08.011openalex-snapshot
Leveraging fuzzy Artificial Intelligence as a technique to find relative desirability in social network
inferred← citeshttps://doi.org/10.1016/j.agrformet.2016.11.002openalex-snapshot
A hybrid artificial intelligence approach using GIS-based neural-fuzzy inference system and particle swarm optimization for forest fire susceptibility modeling at a tropical area
inferred← citeshttps://doi.org/10.1016/j.apm.2019.10.022openalex-snapshot
Point and interval forecasting for carbon price based on an improved analysis-forecast system
inferred← citeshttps://doi.org/10.1016/j.asej.2025.103511openalex-snapshot
Beyond conventional modeling: A cutting-edge hybrid IAER-AMT decision-tree-based algorithm for high-resolution river turbidity prediction
inferred← citeshttps://doi.org/10.1016/j.asr.2021.02.011openalex-snapshot
Spatial modeling of flood probability using geo-environmental variables and machine learning models, case study: Tajan watershed, Iran
inferred← citeshttps://doi.org/10.1016/j.asr.2024.08.030openalex-snapshot
Futuristic flood risks assessment, in the Upper Vellar Basin, integrating AHP and bivariate analysis
inferred← citeshttps://doi.org/10.1016/j.atmosres.2020.104845openalex-snapshot
Development of advanced artificial intelligence models for daily rainfall prediction
inferred← citeshttps://doi.org/10.1016/j.cageo.2022.105079openalex-snapshot
PSO-WELLSVM: An integrated method and its application in urban waterlogging susceptibility assessment in the central Wuhan, China
inferred← citeshttps://doi.org/10.1016/j.catena.2018.01.005openalex-snapshot
Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)
inferred← citeshttps://doi.org/10.1016/j.catena.2018.01.012openalex-snapshot
GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method
inferred← citeshttps://doi.org/10.1016/j.catena.2018.04.004openalex-snapshot
Prediction of shear strength of soft soil using machine learning methods
inferred← citeshttps://doi.org/10.1016/j.catena.2018.12.011openalex-snapshot
Identifying the essential flood conditioning factors for flood prone area mapping using machine learning techniques
inferred← citeshttps://doi.org/10.1016/j.catena.2019.04.009openalex-snapshot
A novel hybrid approach based on a swarm intelligence optimized extreme learning machine for flash flood susceptibility mapping
inferred← citeshttps://doi.org/10.1016/j.catena.2020.105114openalex-snapshot
Flood spatial prediction modeling using a hybrid of meta-optimization and support vector regression modeling
inferred← citeshttps://doi.org/10.1016/j.catena.2022.106379openalex-snapshot
Explainable step-wise binary classification for the susceptibility assessment of geo-hydrological hazards
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2019.125450openalex-snapshot
Flocculation-dewatering prediction of fine mineral tailings using a hybrid machine learning approach
inferred← citeshttps://doi.org/10.1016/j.cities.2019.04.002openalex-snapshot
Climate-related uncertainties in urban exposure to sea level rise and storm surge flooding: a multi-temporal and multi-scenario analysis
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2018.05.009openalex-snapshot
Spatial pattern assessment of tropical forest fire danger at Thuan Chau area (Vietnam) using GIS-based advanced machine learning algorithms: A comparative study
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2021.101291openalex-snapshot
An artificial intelligent framework for prediction of wildlife vehicle collision hotspots based on geographic information systems and multispectral imagery
inferred← citeshttps://doi.org/10.1016/j.ejrh.2024.101739openalex-snapshot
A novel framework for feature simplification and selection in flood susceptibility assessment based on machine learning
inferred← citeshttps://doi.org/10.1016/j.ejrh.2025.102285openalex-snapshot
Unveiling global flood hotspots: Optimized machine learning techniques for enhanced flood susceptibility modeling
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111867openalex-snapshot
Assessment of a family of recurrent neural network models for flood susceptibility Mapping: An explainable glass-box approach
inferred← citeshttps://doi.org/10.1016/j.envpol.2023.122241openalex-snapshot
Dust detection and susceptibility mapping by aiding satellite imagery time series and integration of ensemble machine learning with evolutionary algorithms
inferred← citeshttps://doi.org/10.1016/j.envsoft.2017.06.012openalex-snapshot
A novel hybrid artificial intelligence approach for flood susceptibility assessment
inferred← citeshttps://doi.org/10.1016/j.envsoft.2023.105854openalex-snapshot
FlowDyn: A daily streamflow prediction pipeline for dynamical deep neural network applications
inferred← citeshttps://doi.org/10.1016/j.flowmeasinst.2023.102372openalex-snapshot
A hybrid ensemble machine learning model for discharge coefficient prediction of side orifices with different shapes
inferred← citeshttps://doi.org/10.1016/j.geomorph.2017.09.007openalex-snapshot
Spatial prediction of landslide susceptibility using an adaptive neuro-fuzzy inference system combined with frequency ratio, generalized additive model, and support vector machine techniques
inferred← citeshttps://doi.org/10.1016/j.gsd.2024.101216openalex-snapshot
Integration of Watershed eco-physical health through Algorithmic game theory and supervised machine learning
inferred← citeshttps://doi.org/10.1016/j.gsf.2020.03.005openalex-snapshot
Gully erosion spatial modelling: Role of machine learning algorithms in selection of the best controlling factors and modelling process
inferred← citeshttps://doi.org/10.1016/j.gsf.2020.10.007openalex-snapshot
Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm
inferred← citeshttps://doi.org/10.1016/j.gsf.2022.101456openalex-snapshot
Spatial variability of soil water erosion: Comparing empirical and intelligent techniques
inferred← citeshttps://doi.org/10.1016/j.gsf.2025.102012openalex-snapshot
A critical review of hurricane risk assessment models and predictive frameworks
inferred← citeshttps://doi.org/10.1016/j.hazadv.2025.100927openalex-snapshot
Intelligent feature elimination via Monte Carlo approach for machine learning-based groundwater nitrate prediction and health risk assessment
inferred← citeshttps://doi.org/10.1016/j.ijdrr.2017.09.004openalex-snapshot
Understanding the effect of spatial patterns on the vulnerability of urban areas to flooding
inferred← citeshttps://doi.org/10.1016/j.ijdrr.2019.101153openalex-snapshot
Analyzing Vietnam's national disaster loss database for flood risk assessment using multiple linear regression-TOPSIS
inferred← citeshttps://doi.org/10.1016/j.ijdrr.2020.101705openalex-snapshot
Earthquake risk assessment using an integrated Fuzzy Analytic Hierarchy Process with Artificial Neural Networks based on GIS: A case study of Sanandaj in Iran
inferred← citeshttps://doi.org/10.1016/j.ijdrr.2021.102614openalex-snapshot
Evaluating urban flood risk using hybrid method of TOPSIS and machine learning
inferred← citeshttps://doi.org/10.1016/j.ijdrr.2023.104231openalex-snapshot
Urban flood vulnerability analysis and prediction based on the land use using Deep Neural Network
inferred← citeshttps://doi.org/10.1016/j.ijrmms.2024.106010openalex-snapshot
Feature extraction and classification for induced microseismic signals during hydraulic fracturing: Implication for coalbed methane reservoir stimulation
inferred← citeshttps://doi.org/10.1016/j.ijsrc.2017.09.008openalex-snapshot
A hybrid machine learning ensemble approach based on a Radial Basis Function neural network and Rotation Forest for landslide susceptibility modeling: A case study in the Himalayan area, India
inferred← citeshttps://doi.org/10.1016/j.jafrearsci.2019.103709openalex-snapshot
Multi-criteria decision-making for the analysis of flash floods: A case study of Awlad Toq-Sherq, Southeast Sohag, Egypt
inferred← citeshttps://doi.org/10.1016/j.jafrearsci.2025.105706openalex-snapshot
Flood susceptibility assessment using a GIS and multicriteria decision modelling approach: A case of the Wassa west mining area of Ghana
inferred← citeshttps://doi.org/10.1016/j.jclepro.2024.140692openalex-snapshot
Artificial intelligence (AI) development in the Vietnam's energy and economic systems: A critical review
inferred← citeshttps://doi.org/10.1016/j.jconhyd.2021.103849openalex-snapshot
Predictive modeling of selected trace elements in groundwater using hybrid algorithms of iterative classifier optimizer
inferred← citeshttps://doi.org/10.1016/j.jenvman.2019.06.102openalex-snapshot
Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm
inferred← citeshttps://doi.org/10.1016/j.jenvman.2020.110485openalex-snapshot
Novel hybrid models between bivariate statistics, artificial neural networks and boosting algorithms for flood susceptibility assessment
inferred← citeshttps://doi.org/10.1016/j.jenvman.2020.110951openalex-snapshot
Identifying dominant factors of waterlogging events in metropolitan coastal cities: The case study of Guangzhou, China
inferred← citeshttps://doi.org/10.1016/j.jenvman.2021.112162openalex-snapshot
ANFIS-MOA models for the assessment of groundwater contamination vulnerability in a nitrate contaminated area
inferred← citeshttps://doi.org/10.1016/j.jenvman.2021.112449openalex-snapshot
Flood susceptibility mapping by integrating frequency ratio and index of entropy with multilayer perceptron and classification and regression tree
inferred← citeshttps://doi.org/10.1016/j.jenvman.2021.113551openalex-snapshot
Mapping the spatial and temporal variability of flood hazard affected by climate and land-use changes in the future
inferred← citeshttps://doi.org/10.1016/j.jenvman.2022.116450openalex-snapshot
Modelling flood susceptibility based on deep learning coupling with ensemble learning models
inferred← citeshttps://doi.org/10.1016/j.jenvman.2022.116813openalex-snapshot
A novel framework for addressing uncertainties in machine learning-based geospatial approaches for flood prediction
inferred← citeshttps://doi.org/10.1016/j.jenvman.2024.122109openalex-snapshot
Spatio-temporal evolution characteristics and driving mechanisms of waterlogging in urban agglomeration from multi-scale perspective: A case study of the Guangdong-Hong Kong-Macao Greater Bay Area, China
inferred← citeshttps://doi.org/10.1016/j.jenvman.2025.125670openalex-snapshot
A novel approach in comparing the performance of bivariate statistical methods, boosting, and stacking models in flood susceptibility assessment
inferred← citeshttps://doi.org/10.1016/j.jher.2018.01.002openalex-snapshot
Input optimization of ANFIS typhoon inundation forecast models using a Multi-Objective Genetic Algorithm
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2018.01.033openalex-snapshot
Assessment of flood susceptible areas using spatially explicit, probabilistic multi-criteria decision analysis
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2018.01.044openalex-snapshot
Modeling urban coastal flood severity from crowd-sourced flood reports using Poisson regression and Random Forest
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2018.10.015openalex-snapshot
Quantifying hourly suspended sediment load using data mining models: Case study of a glacierized Andean catchment in Chile
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2019.03.013openalex-snapshot
Spatial prediction of groundwater potentiality using ANFIS ensembled with teaching-learning-based and biogeography-based optimization
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2019.05.046openalex-snapshot
A new intelligence approach based on GIS-based Multivariate Adaptive Regression Splines and metaheuristic optimization for predicting flash flood susceptible areas at high-frequency tropical typhoon area
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2019.05.089openalex-snapshot
Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2019.124379openalex-snapshot
Verification of novel integrations of swarm intelligence algorithms into deep learning neural network for flood susceptibility mapping
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.124774openalex-snapshot
Bedload transport rate prediction: Application of novel hybrid data mining techniques
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.124808openalex-snapshot
Spatial predicting of flood potential areas using novel hybridizations of fuzzy decision-making, bivariate statistics, and machine learning
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.125007openalex-snapshot
Flash flood susceptibility modelling using functional tree and hybrid ensemble techniques
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.125085openalex-snapshot
Neurocomputing in surface water hydrology and hydraulics: A review of two decades retrospective, current status and future prospects
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.125423openalex-snapshot
Novel hybrid intelligence models for flood-susceptibility prediction: Meta optimization of the GMDH and SVR models with the genetic algorithm and harmony search
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.125475openalex-snapshot
In flood susceptibility assessment, is it scientifically correct to represent flood events as a point vector format and create flood inventory map?
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.125552openalex-snapshot
Convolutional neural network approach for spatial prediction of flood hazard at national scale of Iran
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.125655openalex-snapshot
Explore training self-organizing map methods for clustering high-dimensional flood inundation maps
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.125663openalex-snapshot
Using machine learning models, remote sensing, and GIS to investigate the effects of changing climates and land uses on flood probability
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.125815openalex-snapshot
Flood risk assessment using hybrid artificial intelligence models integrated with multi-criteria decision analysis in Quang Nam Province, Vietnam
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2022.127877openalex-snapshot
Exploring the additional value of class imbalance distributions on interpretable flash flood susceptibility prediction in the Black Warrior River basin, Alabama, United States
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2023.129100openalex-snapshot
Flood susceptibility mapping using multi-temporal SAR imagery and novel integration of nature-inspired algorithms into support vector regression
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2023.129229openalex-snapshot
Soil water erosion susceptibility assessment using deep learning algorithms
inferred← citeshttps://doi.org/10.1016/j.nhres.2024.01.001openalex-snapshot
Flood susceptibility assessment using machine learning approach in the Mohana-Khutiya River of Nepal
inferred← citeshttps://doi.org/10.1016/j.oceaneng.2021.109721openalex-snapshot
Clear-water scour depth prediction in long channel contractions: Application of new hybrid machine learning algorithms
inferred← citeshttps://doi.org/10.1016/j.pedsph.2022.06.056openalex-snapshot
Multi-step ahead soil temperature forecasting at different depths based on meteorological data: Integrating resampling algorithms and machine learning models
inferred← citeshttps://doi.org/10.1016/j.rsase.2019.02.006openalex-snapshot
Geospatial mapping of flood susceptibility and hydro-geomorphic response to the floods in Ulhas basin, India
inferred← citeshttps://doi.org/10.1016/j.rsase.2020.100343openalex-snapshot
Prediction of highly flood prone areas by GIS based heuristic and statistical model in a monsoon dominated region of Bengal Basin
inferred← citeshttps://doi.org/10.1016/j.rse.2023.113453openalex-snapshot
InSAR time-series analysis and susceptibility mapping for land subsidence in Semarang, Indonesia using convolutional neural network and support vector regression
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2017.10.114openalex-snapshot
Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2017.12.256openalex-snapshot
Application of fuzzy weight of evidence and data mining techniques in construction of flood susceptibility map of Poyang County, China
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2018.01.266openalex-snapshot
A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2018.06.130openalex-snapshot
A comparison study of DRASTIC methods with various objective methods for groundwater vulnerability assessment
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2018.10.064openalex-snapshot
An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2018.12.397openalex-snapshot
Flash-Flood Potential assessment in the upper and middle sector of Prahova river catchment (Romania). A comparative approach between four hybrid models
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2019.01.021openalex-snapshot
A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2019.02.422openalex-snapshot
Flash flood susceptibility modeling using an optimized fuzzy rule based feature selection technique and tree based ensemble methods
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2019.06.205openalex-snapshot
Novel ensembles of COPRAS multi-criteria decision-making with logistic regression, boosted regression tree, and random forest for spatial prediction of gully erosion susceptibility
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2019.07.197openalex-snapshot
Spatial prediction of flood potential using new ensembles of bivariate statistics and artificial intelligence: A case study at the Putna river catchment of Romania
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2019.134979openalex-snapshot
Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2019.135983openalex-snapshot
Integrated machine learning methods with resampling algorithms for flood susceptibility prediction
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2020.136836openalex-snapshot
Enhancing nitrate and strontium concentration prediction in groundwater by using new data mining algorithm
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2020.137612openalex-snapshot
Improving prediction of water quality indices using novel hybrid machine-learning algorithms
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2020.138931openalex-snapshot
A data-driven improved fuzzy logic control optimization-simulation tool for reducing flooding volume at downstream urban drainage systems
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2020.141565openalex-snapshot
Optimization of state-of-the-art fuzzy-metaheuristic ANFIS-based machine learning models for flood susceptibility prediction mapping in the Middle Ganga Plain, India
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2023.162066openalex-snapshot
Enhancing flood susceptibility modeling using multi-temporal SAR images, CHIRPS data, and hybrid machine learning algorithms
inferred← citeshttps://doi.org/10.1016/j.scs.2024.105889openalex-snapshot
Spatio-temporal modeling of asthma-prone areas: Exploring the influence of urban climate factors with explainable artificial intelligence (XAI)
inferred← citeshttps://doi.org/10.1038/s41598-018-33755-7openalex-snapshot
Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods
inferred← citeshttps://doi.org/10.1038/s41598-019-50262-5openalex-snapshot
A Novel Hybrid Model for Predicting Blast-Induced Ground Vibration Based on k-Nearest Neighbors and Particle Swarm Optimization
inferred← citeshttps://doi.org/10.1038/s41598-021-85862-7openalex-snapshot
Evaluation of multi-hazard map produced using MaxEnt machine learning technique
inferred← citeshttps://doi.org/10.1038/s41598-022-26526-yopenalex-snapshot
Estimate earth fissure hazard based on machine learning in the Qa’ Jahran Basin, Yemen
inferred← citeshttps://doi.org/10.1038/s41598-026-39883-9openalex-snapshot
Strategic dam site selection and hazard mapping using remote sensing: insights from Wadi Araba, Egypt
inferred← citeshttps://doi.org/10.1061/jccee5.cpeng-6533openalex-snapshot
Integrating Hydrodynamic Mechanisms and Deep Learning for Real-Time Flood Inundation Forecasting
inferred← citeshttps://doi.org/10.1061/jwrmd5.wreng-6067openalex-snapshot
Enhancing Season-Ahead Streamflow Forecasts with GCMs, Climate Indices, and Their Interactions
inferred← citeshttps://doi.org/10.1063/5.0186375openalex-snapshot
Cyclone prediction system for chennai city using support vector machine comparing with the regression model
inferred← citeshttps://doi.org/10.1063/5.0281592openalex-snapshot
Machine learning-based prediction of peak outflow of embankment dam break with data augmentation
inferred← citeshttps://doi.org/10.1080/02626667.2020.1754419openalex-snapshot
Monthly suspended sediment load prediction using artificial intelligence: testing of a new random subspace method
inferred← citeshttps://doi.org/10.1080/02626667.2020.1842412openalex-snapshot
New neural fuzzy-based machine learning ensemble for enhancing the prediction accuracy of flood susceptibility mapping
inferred← citeshttps://doi.org/10.1080/02626667.2022.2060108openalex-snapshot
A novel hybrid approach to flood susceptibility assessment based on machine learning and land use change. Case study: a river watershed in Vietnam
inferred← citeshttps://doi.org/10.1080/02626667.2022.2138759openalex-snapshot
ANFIS-based flood detection and vulnerability assessment framework
inferred← citeshttps://doi.org/10.1080/0952813x.2021.1924867openalex-snapshot
A fuzzy logic-based method for designing an urban transport network using a shark smell optimisation algorithm
inferred← citeshttps://doi.org/10.1080/09640568.2020.1775561openalex-snapshot
An integrated approach of GIS and hybrid intelligence techniques applied for flood risk modeling
inferred← citeshttps://doi.org/10.1080/10106049.2018.1474276openalex-snapshot
Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA)
inferred← citeshttps://doi.org/10.1080/10106049.2018.1499820openalex-snapshot
A novel hybrid approach of Bayesian Logistic Regression and its ensembles for landslide susceptibility assessment
inferred← citeshttps://doi.org/10.1080/10106049.2019.1566405openalex-snapshot
GIS-based MCDM – AHP modeling for flood susceptibility mapping of arid areas, southeastern Tunisia
showing the first 200 of 353
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.