Khosravi, Khabat
Scholarly & Creative Works
selected publications
-
Article
-
2022Intelligent flow discharge computation in a rectangular channel with free overfall conditionFull Text via DOI: 10.1007/s00521-022-07112-9 Web of Science: 000768660400016
-
2022Using Optimized Deep Learning to Predict Daily Streamflow: A Comparison to Common Machine Learning AlgorithmsFull Text via DOI: 10.1007/s11269-021-03051-7 Web of Science: 000743454600005
-
2021Clear-water scour depth prediction in long channel contractions: Application of new hybrid machine learning algorithmsFull Text via DOI: 10.1016/j.oceaneng.2021.109721 Web of Science: 000696788900003
-
2021Experimental analysis of incipient motion for uniform and graded sedimentsFull Text via DOI: 10.3390/w13131874
-
2021Predictive modeling of selected trace elements in groundwater using hybrid algorithms of iterative classifier optimizerFull Text via DOI: 10.1016/j.jconhyd.2021.103849 Web of Science: 000702805800004
-
2021Weighted instances handler wrapper and rotation forest-based hybrid algorithms for sediment transport modelingFull Text via DOI: 10.1016/j.jhydrol.2021.126452 Web of Science: 000661813200180
-
2021A GIS-based groundwater pollution potential using DRASTIC, modified DRASTIC, and bivariate statistical modelsFull Text via DOI: 10.1007/s11356-021-13706-y Web of Science: 000648217800002
-
2021Cumulative infiltration and infiltration rate prediction using optimized deep learning algorithms: A study in Western IranFull Text via DOI: 10.1016/j.ejrh.2021.100825 Web of Science: 000663478500001
-
2021A laboratory investigation of bed-load transport of gravel sediments under dam break flowFull Text via DOI: 10.1016/j.ijsrc.2020.08.005 Web of Science: 000596082500006
-
2021Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of IranFull Text via DOI: 10.1016/j.gsf.2020.06.013 Web of Science: 000611950300002
-
2021New hybrid-based approach for improving the accuracy of coastal aquifer vulnerability assessment mapsFull Text via DOI: 10.1016/j.scitotenv.2021.145416 Web of Science: 000617681100100
-
2021Flood spatial prediction modeling using a hybrid of meta-optimization and support vector regression modelingFull Text via DOI: 10.1016/j.catena.2020.105114 Web of Science: 000608022600029
-
2020Convolutional neural network approach for spatial prediction of flood hazard at national scale of IranFull Text via DOI: 10.1016/j.jhydrol.2020.125552 Web of Science: 000599757800067
-
2020Improving groundwater potential mapping using metaheuristic approachesFull Text via DOI: 10.1080/02626667.2020.1828589 Web of Science: 000590098800001
-
2020Iterative classifier optimizer-based pace regression and random forest hybrid models for suspended sediment load predictionFull Text via DOI: 10.1007/s11356-020-11335-5 Web of Science: 000585867500010
-
2020River Water Salinity Prediction Using Hybrid Machine Learning ModelsFull Text via DOI: 10.3390/w12102951 Web of Science: 000582896400001
-
2020Stochastic Modeling of Groundwater Fluoride Contamination: Introducing Lazy LearnersFull Text via DOI: 10.1111/gwat.12963 Web of Science: 000568988300007
-
2020Shear stress distribution prediction in symmetric compound channels using data mining and machine learning modelsFull Text via DOI: 10.1007/s11709-020-0634-3 Web of Science: 000601538800007
-
2020Monthly suspended sediment load prediction using artificial intelligence: testing of a new random subspace methodFull Text via DOI: 10.1080/02626667.2020.1754419 Web of Science: 000550079500001
-
2020Improving prediction of water quality indices using novel hybrid machine -learning algorithmsFull Text via DOI: 10.1016/j.scitotenv.2020.137612 Web of Science: 000535469100010
-
2020Bedload transport rate prediction: Application of novel hybrid data mining techniquesFull Text via DOI: 10.1016/j.jhydrol.2020.124774 Web of Science: 000544230000037
-
2020Enhancing nitrate and strontium concentration prediction in groundwater by using new data mining algorithmFull Text via DOI: 10.1016/j.scitotenv.2020.136836 Web of Science: 000518409900049
-
2020The Importance of Incorporating Denitrification in the Assessment of Groundwater VulnerabilityFull Text via DOI: 10.3390/app10072328 Web of Science: 000533356200127
-
2020Uniform and graded bed-load sediment transport in a degrading channel with non-equilibrium conditionsFull Text via DOI: 10.1016/j.ijsrc.2019.10.005 Web of Science: 000509221100001
-
2019Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in IraqFull Text via DOI: 10.1016/j.compag.2019.105041 Web of Science: 000503314100009
-
2019A comparison of Support Vector Machines and Bayesian algorithms for landslide susceptibility modellingFull Text via DOI: 10.1080/10106049.2018.1489422 Web of Science: 000491476200001
-
2019Optimization of an adaptive neuro-fuzzy inference system for groundwater potential mappingFull Text via DOI: 10.1007/s10040-019-02017-9 Web of Science: 000502730500013
-
2019The potential of novel data mining models for global solar radiation predictionFull Text via DOI: 10.1007/s13762-019-02344-0 Web of Science: 000489337200059
-
2019A Hybrid Computational Intelligence Approach to Groundwater Spring Potential MappingFull Text via DOI: 10.3390/w11102013 Web of Science: 000495598400057
-
2019Determination of compound channel apparent shear stress: application of novel data mining modelsFull Text via DOI: 10.2166/hydro.2019.037 Web of Science: 000492371700008
-
2019SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability AssessmentFull Text via DOI: 10.3390/app9173495 Web of Science: 000488603600057
-
2019Landslide Susceptibility Mapping Using Different GIS-Based Bivariate ModelsFull Text via DOI: 10.3390/w11071402 Web of Science: 000480632300087
-
2019Sinkhole susceptibility mapping: A comparison between Bayes-based machine learning algorithmsFull Text via DOI: 10.1002/ldr.3255 Web of Science: 000465039700002
-
2019Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning AlgorithmFull Text via DOI: 10.3390/rs11080931 Web of Science: 000467646800041
-
2019Landslide prediction capability by comparison of frequency ratio, fuzzy gamma and landslide index methodFull Text via DOI: 10.1007/s12040-018-1047-8 Web of Science: 000458215100001
-
2018Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic RegressionFull Text via DOI: 10.3390/app8122540 Web of Science: 000455145000208
-
2018Quantifying hourly suspended sediment load using data mining models: Case study of a glacierized Andean catchment in ChileFull Text via DOI: 10.1016/j.jhydrol.2018.10.015 Web of Science: 000454753900014
-
2018A comparison study of DRASTIC methods with various objective methods for groundwater vulnerability assessmentFull Text via DOI: 10.1016/j.scitotenv.2018.06.130 Web of Science: 000439405600101
-
2018Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility MappingFull Text via DOI: 10.3390/s18113777 Web of Science: 000451598900187
-
2018Novel Hybrid Evolutionary Algorithms for Spatial Prediction of FloodsFull Text via DOI: 10.1038/s41598-018-33755-7 Web of Science: 000447591000021
-
2018New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility ModelingFull Text via DOI: 10.3390/w10091210 Web of Science: 000448821900102
-
2018Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning AlgorithmsFull Text via DOI: 10.3390/s18082464 Web of Science: 000445712400064
-
2017A novel hybrid artificial intelligence approach for flood susceptibility assessmentFull Text via DOI: 10.1016/j.envsoft.2017.06.012 Web of Science: 000406177500018
-
-
Book Chapter
-
2019Chapter 31 Dam break analysis and flood inundation mapping: The case study of Sefid-Roud Dam, Iran. 395-405.Full Text via DOI: 10.1016/b978-0-12-815998-9.00031-2
-
2019Dam break analysis and flood inundation mapping: The case study of Sefid-Roud Dam, Iran. 395-405.Full Text via DOI: 10.1016/B978-0-12-815998-9.00031-2
-
2019Flood susceptibility mapping at Ningdu catchment, China using bivariate and data mining techniques. 419-434.Full Text via DOI: 10.1016/B978-0-12-815998-9.00033-6
-
Conference
-
2019Difference in the bed load transport of graded and uniform sediments during floods: An experimental investigation. 1645-1664.Full Text via DOI: 10.2166/nh.2019.078 Web of Science: 000503261700014
-
-
Other Scholarly Work
-
2021Uniform and graded bed-load sediment transport in a degrading channel with non-equilibrium conditions (vol 35, pg 115, 2020). 163-163.Full Text via DOI: 10.1016/j.ijsrc.2020.08.002 Web of Science: 000590413200015
-
Preprint
-
2018A comprehensive study of new hybrid models for Adaptive Neuro-Fuzzy Inference System (ANFIS) with Invasive Weed Optimization (IWO), Differential Evolution (DE), Firefly (FA), Particle Swarm Optimization (PSO) and Bees (BA) algorithms for spatial prediction of groundwater spring potential mappingFull Text via DOI: 10.5194/hess-2017-707
Identifiers
ORCID iD
- https://orcid.org/0000-0001-5773-4003 (confirmed)
