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Khosravi, Khabat
Positions
Postdoctoral Associate
,
Institute of Environment
,
College of Arts, Sciences & Education
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Scholarly & Creative Works
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Scholarly & Creative Works
selected scholarly works & creative activities
Article
2023
Prediction of embankments dam break peak outflow: a comparison between empirical equations and ensemble-based machine learning algorithms
.
NATURAL HAZARDS
. 118:1989-2018.
Full Text via DOI:
10.1007/s11069-023-06060-4
Web of Science:
001020731600001
2023
Multi-step ahead soil temperature forecasting at different depths based on meteorological data: Integrating resampling algorithms and machine learning models
Full Text via DOI:
10.1016/j.pedsph.2022.06.056
Web of Science:
001012025200001
2023
Enhancing flood susceptibility modeling using multi-temporal SAR images, CHIRPS data, and hybrid machine learning algorithms
.
SCIENCE OF THE TOTAL ENVIRONMENT
. 871.
Full Text via DOI:
10.1016/j.scitotenv.2023.162066
Web of Science:
000992851500001
2023
Snow water equivalent prediction in a mountainous area using hybrid bagging machine learning approaches
Full Text via DOI:
10.1007/s11600-022-00934-0
Web of Science:
000873359300002
2023
Soil water erosion susceptibility assessment using deep learning algorithms
.
JOURNAL OF HYDROLOGY
. 618.
Full Text via DOI:
10.1016/j.jhydrol.2023.129229
Web of Science:
000942641000001
2023
Spatial variability of soil water erosion: Comparing empirical and intelligent techniques
.
GEOSCIENCE FRONTIERS
. 14.
Full Text via DOI:
10.1016/j.gsf.2022.101456
Web of Science:
000852681600001
2022
A country-wide assessment of Iran's land subsidence susceptibility using satellite-based InSAR and machine learning
.
GEOCARTO INTERNATIONAL
. 37:14065-14087.
Full Text via DOI:
10.1080/10106049.2022.2086631
Web of Science:
000812114400001
2022
Model identification and accuracy for estimation of suspended sediment load
.
GEOCARTO INTERNATIONAL
. 37:18520-18545.
Full Text via DOI:
10.1080/10106049.2022.2142964
Web of Science:
000888822900001
2022
Suspended sediment load prediction using hybrid bagging-based heuristic search algorithm
.
GEOCARTO INTERNATIONAL
. 37:17068-17095.
Full Text via DOI:
10.1080/10106049.2022.2122590
Web of Science:
000854779800001
2022
Stacking ensemble-based hybrid algorithms for discharge computation in sharp-crested labyrinth weirs
.
SOFT COMPUTING
. 26:12271-12290.
Full Text via DOI:
10.1007/s00500-022-07073-0
Web of Science:
000782725600007
2022
Applying the C-Factor of the RUSLE Model to Improve the Prediction of Suspended Sediment Concentration Using Smart Data-Driven Models
Full Text via DOI:
10.3390/w14193011
Web of Science:
000867226500001
2022
Comparing the Soil Conservation Service model with new machine learning algorithms for predicting cumulative infiltration in semi-arid regions
Full Text via DOI:
10.1016/j.pedsph.2022.06.009
Web of Science:
000855123900006
2022
Suspended Sediment Modeling Using Sequential Minimal Optimization Regression and Isotonic Regression Algorithms Integrated with an Iterative Classifier Optimizer
Full Text via DOI:
10.1007/s00024-022-03131-8
Web of Science:
000863199400001
2022
Evaluation of deep machine learning-based models of soil cumulative infiltration
.
EARTH SCIENCE INFORMATICS
. 15:1861-1877.
Full Text via DOI:
10.1007/s12145-022-00830-7
Web of Science:
000824933200001
2022
Intelligent flow discharge computation in a rectangular channel with free overfall condition
.
NEURAL COMPUTING & APPLICATIONS
. 34:12601-12616.
Full Text via DOI:
10.1007/s00521-022-07112-9
Web of Science:
000768660400016
2022
The use of hybrid machine learning models for improving the GALDIT model for coastal aquifer vulnerability mapping
.
ENVIRONMENTAL EARTH SCIENCES
. 81.
Full Text via DOI:
10.1007/s12665-022-10534-2
Web of Science:
000834820800001
2022
Suspended sediment load modeling using advanced hybrid rotation forest based elastic network approach
.
JOURNAL OF HYDROLOGY
. 610.
Full Text via DOI:
10.1016/j.jhydrol.2022.127963
Web of Science:
000922399900004
2022
Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility mapping in Icheon, South Korea
.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
. 305.
Full Text via DOI:
10.1016/j.jenvman.2021.114367
Web of Science:
000741843700001
2022
Using Optimized Deep Learning to Predict Daily Streamflow: A Comparison to Common Machine Learning Algorithms
.
WATER RESOURCES MANAGEMENT
. 36:699-716.
Full Text via DOI:
10.1007/s11269-021-03051-7
Web of Science:
000743454600005
2021
Short-term River streamflow modeling using Ensemble-based additive learner approach
Full Text via DOI:
10.1016/j.jher.2021.07.003
Web of Science:
000712539500003
2021
Clear-water scour depth prediction in long channel contractions: Application of new hybrid machine learning algorithms
.
OCEAN ENGINEERING
. 238.
Full Text via DOI:
10.1016/j.oceaneng.2021.109721
Web of Science:
000696788900003
2021
Predicting stable gravel-bed river hydraulic geometry: A test of novel, advanced, hybrid data mining algorithms
.
ENVIRONMENTAL MODELLING & SOFTWARE
. 144.
Full Text via DOI:
10.1016/j.envsoft.2021.105165
Web of Science:
000696804100004
2021
Predictive modeling of selected trace elements in groundwater using hybrid algorithms of iterative classifier optimizer
.
JOURNAL OF CONTAMINANT HYDROLOGY
. 242.
Full Text via DOI:
10.1016/j.jconhyd.2021.103849
Web of Science:
000702805800004
2021
A GIS-based groundwater pollution potential using DRASTIC, modified DRASTIC, and bivariate statistical models
.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
. 28:50525-50541.
Full Text via DOI:
10.1007/s11356-021-13706-y
Web of Science:
000648217800002
2021
Improving daily stochastic stream flow prediction: comparison of novel hybrid data-mining algorithms
.
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
. 66:1457-1474.
Full Text via DOI:
10.1080/02626667.2021.1928673
Web of Science:
000673162800001
2021
Experimental Analysis of Incipient Motion for Uniform and Graded Sediments
Full Text via DOI:
10.3390/w13131874
Web of Science:
000672019200001
2021
Weighted instances handler wrapper and rotation forest-based hybrid algorithms for sediment transport modeling
.
JOURNAL OF HYDROLOGY
. 598.
Full Text via DOI:
10.1016/j.jhydrol.2021.126452
Web of Science:
000661813200180
2021
Cumulative infiltration and infiltration rate prediction using optimized deep learning algorithms: A study in Western Iran
Full Text via DOI:
10.1016/j.ejrh.2021.100825
Web of Science:
000663478500001
2021
A comparison between advanced hybrid machine learning algorithms and empirical equations applied to abutment scour depth prediction
.
JOURNAL OF HYDROLOGY
. 596.
Full Text via DOI:
10.1016/j.jhydrol.2021.126100
Web of Science:
000642334400069
2021
New hybrid-based approach for improving the accuracy of coastal aquifer vulnerability assessment maps
.
SCIENCE OF THE TOTAL ENVIRONMENT
. 767.
Full Text via DOI:
10.1016/j.scitotenv.2021.145416
Web of Science:
000617681100100
2021
A laboratory investigation of bed-load transport of gravel sediments under dam break flow
.
INTERNATIONAL JOURNAL OF SEDIMENT RESEARCH
. 36:229-234.
Full Text via DOI:
10.1016/j.ijsrc.2020.08.005
Web of Science:
000596082500006
2021
Flood spatial prediction modeling using a hybrid of meta-optimization and support vector regression modeling
.
CATENA
. 199.
Full Text via DOI:
10.1016/j.catena.2020.105114
Web of Science:
000608022600029
2021
Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran
.
GEOSCIENCE FRONTIERS
. 12:505-519.
Full Text via DOI:
10.1016/j.gsf.2020.06.013
Web of Science:
000611950300002
2021
Iterative classifier optimizer-based pace regression and random forest hybrid models for suspended sediment load prediction
.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
. 28:11637-11649.
Full Text via DOI:
10.1007/s11356-020-11335-5
Web of Science:
000585867500010
2020
Improving groundwater potential mapping using metaheuristic approaches
.
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
. 65:2729-2749.
Full Text via DOI:
10.1080/02626667.2020.1828589
Web of Science:
000590098800001
2020
Convolutional neural network approach for spatial prediction of flood hazard at national scale of Iran
.
JOURNAL OF HYDROLOGY
. 591.
Full Text via DOI:
10.1016/j.jhydrol.2020.125552
Web of Science:
000599757800067
2020
A novel ensemble learning based on Bayesian Belief Network coupled with an extreme learning machine for flash flood susceptibility mapping
.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
. 96.
Full Text via DOI:
10.1016/j.engappai.2020.103971
Web of Science:
000582708400023
2020
River Water Salinity Prediction Using Hybrid Machine Learning Models
Full Text via DOI:
10.3390/w12102951
Web of Science:
000582896400001
2020
Monthly suspended sediment load prediction using artificial intelligence: testing of a new random subspace method
.
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
. 65:2116-2127.
Full Text via DOI:
10.1080/02626667.2020.1754419
Web of Science:
000550079500001
2020
Stochastic Modeling of Groundwater Fluoride Contamination: Introducing Lazy Learners
.
GROUND WATER
. 58:723-734.
Full Text via DOI:
10.1111/gwat.12963
Web of Science:
000568988300007
2020
Shear stress distribution prediction in symmetric compound channels using data mining and machine learning models
Full Text via DOI:
10.1007/s11709-020-0634-3
Web of Science:
000601538800007
2020
Improving prediction of water quality indices using novel hybrid machine -learning algorithms
.
SCIENCE OF THE TOTAL ENVIRONMENT
. 721.
Full Text via DOI:
10.1016/j.scitotenv.2020.137612
Web of Science:
000535469100010
2020
Bedload transport rate prediction: Application of novel hybrid data mining techniques
.
JOURNAL OF HYDROLOGY
. 585.
Full Text via DOI:
10.1016/j.jhydrol.2020.124774
Web of Science:
000544230000037
2020
Monitoring and Assessment of Water Level Fluctuations of the Lake Urmia and Its Environmental Consequences Using Multitemporal Landsat 7 ETM
+
Images
Full Text via DOI:
10.3390/ijerph17124210
Web of Science:
000549566300001
2020
Enhancing nitrate and strontium concentration prediction in groundwater by using new data mining algorithm
.
SCIENCE OF THE TOTAL ENVIRONMENT
. 715.
Full Text via DOI:
10.1016/j.scitotenv.2020.136836
Web of Science:
000518409900049
2020
The Importance of Incorporating Denitrification in the Assessment of Groundwater Vulnerability
Full Text via DOI:
10.3390/app10072328
Web of Science:
000533356200127
2020
Uniform and graded bed-load sediment transport in a degrading channel with non-equilibrium conditions
.
INTERNATIONAL JOURNAL OF SEDIMENT RESEARCH
. 35:115-124.
Full Text via DOI:
10.1016/j.ijsrc.2019.10.005
Web of Science:
000509221100001
2020
River suspended sediment load prediction based on river discharge information: application of newly developed data mining models
.
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
. 65:624-637.
Full Text via DOI:
10.1080/02626667.2019.1703186
Web of Science:
000508101800001
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
Full Text via DOI:
10.3390/rs12020266
Web of Science:
000515569800065
2019
Experimental Investigation of Flash Flood Resulting from Dam-Break on Bed Sediment Transport
Full Text via DOI:
10.29252/jwmr.10.20.120
2019
Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq
Full Text via DOI:
10.1016/j.compag.2019.105041
Web of Science:
000503314100009
2019
A comparison of Support Vector Machines and Bayesian algorithms for landslide susceptibility modelling
.
GEOCARTO INTERNATIONAL
. 34:1385-1407.
Full Text via DOI:
10.1080/10106049.2018.1489422
Web of Science:
000491476200001
2019
Optimization of an adaptive neuro-fuzzy inference system for groundwater potential mapping
.
HYDROGEOLOGY JOURNAL
. 27:2511-2534.
Full Text via DOI:
10.1007/s10040-019-02017-9
Web of Science:
000502730500013
2019
The potential of novel data mining models for global solar radiation prediction
.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
. 16:7147-7164.
Full Text via DOI:
10.1007/s13762-019-02344-0
Web of Science:
000489337200059
2019
A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping
Full Text via DOI:
10.3390/w11102013
Web of Science:
000495598400057
2019
Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm
.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
. 247:712-729.
Full Text via DOI:
10.1016/j.jenvman.2019.06.102
Web of Science:
000483635000072
2019
Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree
.
GEOCARTO INTERNATIONAL
. 34:1177-1201.
Full Text via DOI:
10.1080/10106049.2019.1588393
Web of Science:
000472260400001
2019
Determination of compound channel apparent shear stress: application of novel data mining models
.
JOURNAL OF HYDROINFORMATICS
. 21:798-811.
Full Text via DOI:
10.2166/hydro.2019.037
Web of Science:
000492371700008
2019
SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment
Full Text via DOI:
10.3390/app9173495
Web of Science:
000488603600057
2019
Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)
Full Text via DOI:
10.3390/app9183755
Web of Science:
000489115200115
2019
Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model
Full Text via DOI:
10.3390/rs11131589
Web of Science:
000477049000081
2019
Landslide Susceptibility Mapping Using Different GIS-Based Bivariate Models
Full Text via DOI:
10.3390/w11071402
Web of Science:
000480632300087
2019
A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
.
JOURNAL OF HYDROLOGY
. 573:311-323.
Full Text via DOI:
10.1016/j.jhydrol.2019.03.073
Web of Science:
000474327800024
2019
Torrential rainfall-triggered shallow landslide characteristics and susceptibility assessment using ensemble data-driven models in the Dongjiang Reservoir Watershed, China
.
NATURAL HAZARDS
. 97:579-609.
Full Text via DOI:
10.1007/s11069-019-03659-4
Web of Science:
000482068400007
2019
Spatial prediction of groundwater potentiality using ANFIS ensembled with teaching-learning-based and biogeography-based optimization
.
JOURNAL OF HYDROLOGY
. 572:435-448.
Full Text via DOI:
10.1016/j.jhydrol.2019.03.013
Web of Science:
000467891900035
2019
Sinkhole susceptibility mapping: A comparison between Bayes-based machine learning algorithms
.
LAND DEGRADATION & DEVELOPMENT
. 30:730-745.
Full Text via DOI:
10.1002/ldr.3255
Web of Science:
000465039700002
2019
Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan
.
SCIENCE OF THE TOTAL ENVIRONMENT
. 662:332-346.
Full Text via DOI:
10.1016/j.scitotenv.2019.01.221
Web of Science:
000459163900035
2019
Coastal Wetland Mapping with Sentinel-2 MSI Imagery Based on Gravitational Optimized Multilayer Perceptron and Morphological Attribute Profiles
Full Text via DOI:
10.3390/rs11080952
Web of Science:
000467646800062
2019
Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm
Full Text via DOI:
10.3390/rs11080931
Web of Science:
000467646800041
2019
Landslide prediction capability by comparison of frequency ratio, fuzzy gamma and landslide index method
Full Text via DOI:
10.1007/s12040-018-1047-8
Web of Science:
000458215100001
2018
Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression
Full Text via DOI:
10.3390/app8122540
Web of Science:
000455145000208
2018
Quantifying hourly suspended sediment load using data mining models: Case study of a glacierized Andean catchment in Chile
.
JOURNAL OF HYDROLOGY
. 567:165-179.
Full Text via DOI:
10.1016/j.jhydrol.2018.10.015
Web of Science:
000454753900014
2018
A comparison study of DRASTIC methods with various objective methods for groundwater vulnerability assessment
.
SCIENCE OF THE TOTAL ENVIRONMENT
. 642:1032-1049.
Full Text via DOI:
10.1016/j.scitotenv.2018.06.130
Web of Science:
000439405600101
2018
Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping
Full Text via DOI:
10.3390/s18113777
Web of Science:
000451598900187
2018
Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods
.
SCIENTIFIC REPORTS
. 8.
Full Text via DOI:
10.1038/s41598-018-33755-7
Web of Science:
000447591000021
2018
Spatial prediction of groundwater spring potential mapping based on an adaptive neuro-fuzzy inference system and metaheuristic optimization
.
HYDROLOGY AND EARTH SYSTEM SCIENCES
. 22:4771-4792.
Full Text via DOI:
10.5194/hess-22-4771-2018
Web of Science:
000444421900001
2018
New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling
Full Text via DOI:
10.3390/w10091210
Web of Science:
000448821900102
2018
Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms
Full Text via DOI:
10.3390/s18082464
Web of Science:
000445712400064
2018
A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
.
SCIENCE OF THE TOTAL ENVIRONMENT
. 627:744-755.
Full Text via DOI:
10.1016/j.scitotenv.2018.01.266
Web of Science:
000431848500072
2017
A novel hybrid artificial intelligence approach for flood susceptibility assessment
.
ENVIRONMENTAL MODELLING & SOFTWARE
. 95:229-245.
Full Text via DOI:
10.1016/j.envsoft.2017.06.012
Web of Science:
000406177500018
2017
Application and Comparison of Decision Tree-Based Machine Learning Methods in Landside Susceptibility Assessment at Pauri Garhwal Area, Uttarakhand, India
.
ENVIRONMENTAL PROCESSES-AN INTERNATIONAL JOURNAL
. 4:711-730.
Full Text via DOI:
10.1007/s40710-017-0248-5
Web of Science:
000414368400014
2016
Flash flood susceptibility analysis and its mapping using different bivariate models in Iran: a comparison between Shannon's entropy, statistical index, and weighting factor models
.
ENVIRONMENTAL MONITORING AND ASSESSMENT
. 188.
Full Text via DOI:
10.1007/s10661-016-5665-9
Web of Science:
000388805000003
2016
A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making technique
.
NATURAL HAZARDS
. 83:947-987.
Full Text via DOI:
10.1007/s11069-016-2357-2
Web of Science:
000380794200009
Book Chapter
2019
Analysis and prediction of meteorological drought using SPI index and ARIMA model in the Karkheh River Basin, Iran
. 343-353.
Full Text via DOI:
10.1016/B978-0-12-815998-9.00026-9
2019
Chapter 26 Analysis and prediction of meteorological drought using SPI index and ARIMA model in the Karkheh River Basin, Iran
. 343-353.
Full Text via DOI:
10.1016/b978-0-12-815998-9.00026-9
2019
Chapter 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
2019
Chapter 33 Flood 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
2019
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
2019
Flood 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
2019
Difference 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
2021
Cumulative infiltration and infiltration rate prediction using optimized deep learning algorithms: A study in Western Iran (vol 35, 100825, 2021)
Full Text via DOI:
10.1016/j.ejrh.2021.100950
Web of Science:
000770947400001
2021
Difference in the bed load transport of graded and uniform sediments during floods: An experimental investigation (vol 50, pg 1645, 2019)
. 1648-1648.
Full Text via DOI:
10.2166/nh.2020.006
Web of Science:
000731401600029
2021
Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods (vol 8, 15364, 2018)
.
SCIENTIFIC REPORTS
.
Full Text via DOI:
10.1038/s41598-021-93957-4
Web of Science:
000687315200001
2021
Syncing sustainable urban mobility with public transit policy trends based on global data analysis (vol 8, 15364, 2018)
.
SCIENTIFIC REPORTS
.
Full Text via DOI:
10.1038/s41598-021-93741-4
Web of Science:
000692201500001
2021
Uniform and graded bed-load sediment transport in a degrading channel with non-equilibrium conditions (vol 35, pg 115, 2020)
.
INTERNATIONAL JOURNAL OF SEDIMENT RESEARCH
. 163-163.
Full Text via DOI:
10.1016/j.ijsrc.2020.08.002
Web of Science:
000590413200015
Preprint
2019
Shear Stress Distribution Prediction in Symmetric Compound Channels Using Data Mining and Machine Learning Models
Full Text via DOI:
10.48550/arxiv.2001.01558
A 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 mapping
Full Text via DOI:
10.5194/hess-2017-707
Advanced Hybrid Machine Learning Algorithms for Multistep Lake Water Level Forecasting
Full Text via DOI:
10.21203/rs.3.rs-912383/v1
Multi-step-ahead soil temperature forecasting at multiple-depth based on meteorological data: Integrating resampling algorithms and machine learning models
Full Text via DOI:
10.21203/rs.3.rs-1526396/v1
Stacking Ensemble-Based Hybrid Algorithms for Discharge Computation in Sharp-Crested Labyrinth Weirs
Full Text via DOI:
10.21203/rs.3.rs-729477/v1
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