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Measurement and analysis of regional flood disaster resilience based on a support vector regression model refined by the selfish herd optimizer with elite opposition-based learning

https://doi.org/10.1016/j.jenvman.2021.113764
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43/43 checkable references clean · checked 2026-07-23

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

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The 43 checked references that resolve
resolves10.3390/w11091855
Long-Term Trends and Seasonality Detection of the Observed Flow in Yangtze River Using Mann-Kendall and Sen’s Innovative Trend Method
resolves10.1007/s10462-019-09707-6
A novel chaotic selfish herd optimizer for global optimization and feature selection
resolves10.1016/j.jhydrol.2018.06.052
Urban flood resilience – A multi-criteria index to integrate flood resilience into urban planning
resolves10.1016/j.techfore.2019.05.015
A hybrid PSO-SVM model based on clustering algorithm for short-term atmospheric pollutant concentration forecasting
resolves10.1016/j.scs.2017.11.019
Evaluation of economic transformation and upgrading of resource-based cities in Shaanxi province based on an improved TOPSIS method
resolves10.1007/s00521-016-2245-4
Twin support vector machine: theory, algorithm and applications
resolves10.1016/j.renene.2017.11.011
Short-term photovoltaic solar power forecasting using a hybrid Wavelet-PSO-SVM model based on SCADA and Meteorological information
resolves10.1016/j.eswa.2018.06.023
Improved grasshopper optimization algorithm using opposition-based learning
resolves10.1016/j.biosystems.2017.07.010
A global optimization algorithm inspired in the behavior of selfish herds
resolves10.1016/j.agwat.2017.08.003
Evaluation of random forests and generalized regression neural networks for daily reference evapotranspiration modelling
resolves10.1016/j.jhydrol.2020.124674
Improved visualization for trend analysis by comparing with classical Mann-Kendall test and ITA
resolves10.1016/j.biosystemseng.2019.02.019
Identification of management zones in precision agriculture: An evaluation of alternative cluster analysis methods
resolves10.1016/0022-5193(71)90189-5
Geometry for the selfish herd
resolves10.1080/1573062X.2018.1508598
A new flood risk assessment framework for evaluating the effectiveness of policies to improve urban flood resilience
resolves10.1007/s00366-016-0453-2
Prediction of air-overpressure caused by mine blasting using a new hybrid PSO–SVR model
resolves10.1146/annurev.es.04.110173.000245
Resilience and Stability of Ecological Systems
resolves10.1016/j.asoc.2019.106038
Non-inertial opposition-based particle swarm optimization and its theoretical analysis for deep learning applications
resolves10.1080/01431160110107743
The role of feature selection in artificial neural network applications
resolves10.1007/s13753-018-0162-0
Flood Resilience Building in Thailand: Assessing Progress and the Effect of Leadership
resolves10.1016/j.ecolind.2015.06.018
Piloting a social-ecological index for measuring flood resilience: A composite index approach
resolves10.1016/j.jenvman.2020.111025
Learning from Floods: Linking flood experience and flood resilience
resolves10.1016/j.jclepro.2020.121438
Connotation analysis and evaluation index system construction of regional agricultural soil and water resource composite system harmony
resolves10.1016/j.envint.2018.02.006
Identifying the key catastrophic variables of urban social-environmental resilience and early warning signal
resolves10.1103/PhysRevLett.114.140504
Experimental Realization of a Quantum Support Vector Machine
resolves10.1016/j.future.2018.12.068
Dynamic evaluation of drilling leakage risk based on fuzzy theory and PSO-SVR algorithm
resolves10.1016/j.jclepro.2019.118406
Spatiotemporal variation analysis of regional flood disaster resilience capability using an improved projection pursuit model based on the wind-driven optimization algorithm
resolves10.1007/s11269-017-1872-6
Projection Pursuit Evaluation Model of Regional Surface Water Environment Based on Improved Chicken Swarm Optimization Algorithm
resolves10.1016/j.ecolind.2019.105674
Projection pursuit evaluation model of a regional surface water environment based on an Ameliorative Moth-Flame Optimization algorithm
resolves10.1016/j.eswa.2020.113738
A review of fuzzy AHP methods for decision-making with subjective judgements
resolves10.1016/j.ijdrr.2019.101069
A multi-criteria approach for assessing urban flood resilience in Tehran, Iran
resolves10.1109/ACCESS.2019.2960512
Series Arc Fault Detection of Indoor Power Distribution System Based on LVQ-NN and PSO-SVM
resolves10.1016/j.eswa.2018.03.053
EEG signal classification using universum support vector machine
resolves10.1016/j.scs.2021.102850
Rethinking disaster resilience in high-density cities: Towards an urban resilience knowledge system
resolves10.3390/ijerph16040618
How Can Cities Respond to Flood Disaster Risks under Multi-Scenario Simulation? A Case Study of Xiamen, China
resolves10.1007/s11069-016-2178-3
Regional flood disaster resilience evaluation based on analytic network process: a case study of the Chaohu Lake Basin, Anhui Province, China
resolves10.5751/ES-00650-090205
Resilience, Adaptability and Transformability in Social-ecological Systems
resolves10.1016/j.ymssp.2019.106507
Monitoring of multi-bolt connection looseness using entropy-based active sensing and genetic algorithm-based least square support vector machine
resolves10.1016/j.ejor.2017.12.001
A support vector machine-based ensemble algorithm for breast cancer diagnosis
resolves10.1016/j.eswa.2019.112838
Refined selfish herd optimizer for global optimization problems
resolves10.1016/j.jhydrol.2017.06.020
Comparison of random forests and support vector machine for real-time radar-derived rainfall forecasting
resolves10.1016/j.ijdrr.2016.03.012
Flood vulnerability indices and emergency management planning in the Yazoo Basin, Mississippi
resolves10.1002/qj.3851
Spatial variability and possible cause analysis of regional precipitation complexity based on optimized sample entropy
resolves10.1016/j.neucom.2015.01.110
Elite opposition-based flower pollination algorithm
The 23 references without a DOI — listed, not checked
no DOI — not checked10.1016/j.jenvman.2021.113764_bib3
no DOI — not checked10.1016/j.jenvman.2021.113764_bib5
no DOI — not checked10.1016/j.jenvman.2021.113764_bib8
no DOI — not checkedTemporal and spatial change in disaster resilience in US counties, 2010–2015*
no DOI — not checkedNovel application of selfish herd optimisation based two degrees of freedom cascaded controller for AGC study
no DOI — not checkedElite opposition-based selfish herd optimizer
no DOI — not checkedData normalization using median median absolute deviation MMAD based Z-score for robust predictions vs. min–max normalization
no DOI — not checked10.1016/j.jenvman.2021.113764_bib25
no DOI — not checkedSegmentation of residential customer load profile in peninsular Malaysia using Jenks natural breaks
no DOI — not checked10.1016/j.jenvman.2021.113764_bib31
no DOI — not checkedMeasurement and analysis of regional agricultural water and soil resource composite system harmony with an improved random forest model based on a dragonfly algorithm
no DOI — not checkedRandom forest regression evaluation model of regional flood disaster resilience based on the whale optimization algorithm
no DOI — not checkedSpatial-temporal characteristics analysis of water resource system resilience in irrigation areas based on a support vector machine model optimized by the modified gray wolf algorithm
no DOI — not checkedOptimization of irrigation water use efficiency evaluation indicators based on DPSIR-SDI model
no DOI — not checked10.1016/j.jenvman.2021.113764_bib44
no DOI — not checked10.1016/j.jenvman.2021.113764_bib45
no DOI — not checkedA method for implementing a statistically significant number of data classes in the Jenks algorithm
no DOI — not checkedDisaster resilience in Pakistan: a comprehensive multi-dimensional spatial profiling
no DOI — not checked10.1016/j.jenvman.2021.113764_bib53
no DOI — not checkedSendai framework for disaster risk reduction 2015-2030
no DOI — not checkedIdentification and application of the most suitable entropy model for precipitation complexity measurement
no DOI — not checkedSelfish herd optimization algorithm based on chaotic strategy for adaptive IIR system identification problem
no DOI — not checkedA support vector machine to identify irrigated crop types using time-series Landsat NDVI data
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