FIU Discovery

Prediction of embankments dam break peak outflow: a comparison between empirical equations and ensemble-based machine learning algorithms.  NATURAL HAZARDS.  118:1989-2018.

Multi-step ahead soil temperature forecasting at different depths based on meteorological data: Integrating resampling algorithms and machine learning models

Enhancing flood susceptibility modeling using multi-temporal SAR images, CHIRPS data, and hybrid machine learning algorithms.  SCIENCE OF THE TOTAL ENVIRONMENT.  871.

Snow water equivalent prediction in a mountainous area using hybrid bagging machine learning approaches

Soil water erosion susceptibility assessment using deep learning algorithms.  JOURNAL OF HYDROLOGY.  618.

Spatial variability of soil water erosion: Comparing empirical and intelligent techniques.  GEOSCIENCE FRONTIERS.  14.

A country-wide assessment of Iran's land subsidence susceptibility using satellite-based InSAR and machine learning.  GEOCARTO INTERNATIONAL.  37:14065-14087.

Model identification and accuracy for estimation of suspended sediment load.  GEOCARTO INTERNATIONAL.  37:18520-18545.

Suspended sediment load prediction using hybrid bagging-based heuristic search algorithm.  GEOCARTO INTERNATIONAL.  37:17068-17095.

Stacking ensemble-based hybrid algorithms for discharge computation in sharp-crested labyrinth weirs.  SOFT COMPUTING.  26:12271-12290.

Applying the C-Factor of the RUSLE Model to Improve the Prediction of Suspended Sediment Concentration Using Smart Data-Driven Models

Comparing the Soil Conservation Service model with new machine learning algorithms for predicting cumulative infiltration in semi-arid regions

Suspended Sediment Modeling Using Sequential Minimal Optimization Regression and Isotonic Regression Algorithms Integrated with an Iterative Classifier Optimizer

Evaluation of deep machine learning-based models of soil cumulative infiltration.  EARTH SCIENCE INFORMATICS.  15:1861-1877.

Intelligent flow discharge computation in a rectangular channel with free overfall condition.  NEURAL COMPUTING & APPLICATIONS.  34:12601-12616.

The use of hybrid machine learning models for improving the GALDIT model for coastal aquifer vulnerability mapping.  ENVIRONMENTAL EARTH SCIENCES.  81.

Suspended sediment load modeling using advanced hybrid rotation forest based elastic network approach.  JOURNAL OF HYDROLOGY.  610.

Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility mapping in Icheon, South Korea.  JOURNAL OF ENVIRONMENTAL MANAGEMENT.  305.

Using Optimized Deep Learning to Predict Daily Streamflow: A Comparison to Common Machine Learning Algorithms.  WATER RESOURCES MANAGEMENT.  36:699-716.

Short-term River streamflow modeling using Ensemble-based additive learner approach

Clear-water scour depth prediction in long channel contractions: Application of new hybrid machine learning algorithms.  OCEAN ENGINEERING.  238.

Predicting stable gravel-bed river hydraulic geometry: A test of novel, advanced, hybrid data mining algorithms.  ENVIRONMENTAL MODELLING & SOFTWARE.  144.

Predictive modeling of selected trace elements in groundwater using hybrid algorithms of iterative classifier optimizer.  JOURNAL OF CONTAMINANT HYDROLOGY.  242.

A GIS-based groundwater pollution potential using DRASTIC, modified DRASTIC, and bivariate statistical models.  ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH.  28:50525-50541.

Improving daily stochastic stream flow prediction: comparison of novel hybrid data-mining algorithms.  HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES.  66:1457-1474.

Experimental Analysis of Incipient Motion for Uniform and Graded Sediments

Weighted instances handler wrapper and rotation forest-based hybrid algorithms for sediment transport modeling.  JOURNAL OF HYDROLOGY.  598.

Cumulative infiltration and infiltration rate prediction using optimized deep learning algorithms: A study in Western Iran

A comparison between advanced hybrid machine learning algorithms and empirical equations applied to abutment scour depth prediction.  JOURNAL OF HYDROLOGY.  596.

New hybrid-based approach for improving the accuracy of coastal aquifer vulnerability assessment maps.  SCIENCE OF THE TOTAL ENVIRONMENT.  767.

A laboratory investigation of bed-load transport of gravel sediments under dam break flow.  INTERNATIONAL JOURNAL OF SEDIMENT RESEARCH.  36:229-234.

Flood spatial prediction modeling using a hybrid of meta-optimization and support vector regression modeling.  CATENA.  199.

Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran.  GEOSCIENCE FRONTIERS.  12:505-519.

Iterative classifier optimizer-based pace regression and random forest hybrid models for suspended sediment load prediction.  ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH.  28:11637-11649.

Improving groundwater potential mapping using metaheuristic approaches.  HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES.  65:2729-2749.

Convolutional neural network approach for spatial prediction of flood hazard at national scale of Iran.  JOURNAL OF HYDROLOGY.  591.

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.

River Water Salinity Prediction Using Hybrid Machine Learning Models

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.

Stochastic Modeling of Groundwater Fluoride Contamination: Introducing Lazy Learners.  GROUND WATER.  58:723-734.

Shear stress distribution prediction in symmetric compound channels using data mining and machine learning models

Improving prediction of water quality indices using novel hybrid machine -learning algorithms.  SCIENCE OF THE TOTAL ENVIRONMENT.  721.

Bedload transport rate prediction: Application of novel hybrid data mining techniques.  JOURNAL OF HYDROLOGY.  585.

Monitoring and Assessment of Water Level Fluctuations of the Lake Urmia and Its Environmental Consequences Using Multitemporal Landsat 7 ETM⁺Images

Enhancing nitrate and strontium concentration prediction in groundwater by using new data mining algorithm.  SCIENCE OF THE TOTAL ENVIRONMENT.  715.

The Importance of Incorporating Denitrification in the Assessment of Groundwater Vulnerability

Uniform and graded bed-load sediment transport in a degrading channel with non-equilibrium conditions.  INTERNATIONAL JOURNAL OF SEDIMENT RESEARCH.  35:115-124.

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.

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

Experimental Investigation of Flash Flood Resulting from Dam-Break on Bed Sediment Transport

Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq

A comparison of Support Vector Machines and Bayesian algorithms for landslide susceptibility modelling.  GEOCARTO INTERNATIONAL.  34:1385-1407.

Optimization of an adaptive neuro-fuzzy inference system for groundwater potential mapping.  HYDROGEOLOGY JOURNAL.  27:2511-2534.

The potential of novel data mining models for global solar radiation prediction.  INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY.  16:7147-7164.

A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping

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.

Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree.  GEOCARTO INTERNATIONAL.  34:1177-1201.

Determination of compound channel apparent shear stress: application of novel data mining models.  JOURNAL OF HYDROINFORMATICS.  21:798-811.

SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment

Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)

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

Landslide Susceptibility Mapping Using Different GIS-Based Bivariate Models

A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods.  JOURNAL OF HYDROLOGY.  573:311-323.

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.

Spatial prediction of groundwater potentiality using ANFIS ensembled with teaching-learning-based and biogeography-based optimization.  JOURNAL OF HYDROLOGY.  572:435-448.

Sinkhole susceptibility mapping: A comparison between Bayes-based machine learning algorithms.  LAND DEGRADATION & DEVELOPMENT.  30:730-745.

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.

Coastal Wetland Mapping with Sentinel-2 MSI Imagery Based on Gravitational Optimized Multilayer Perceptron and Morphological Attribute Profiles

Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm

Landslide prediction capability by comparison of frequency ratio, fuzzy gamma and landslide index method

Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression

Quantifying hourly suspended sediment load using data mining models: Case study of a glacierized Andean catchment in Chile.  JOURNAL OF HYDROLOGY.  567:165-179.

A comparison study of DRASTIC methods with various objective methods for groundwater vulnerability assessment.  SCIENCE OF THE TOTAL ENVIRONMENT.  642:1032-1049.

Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping

Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods.  SCIENTIFIC REPORTS.  8.

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.

New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling

Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms

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.

A novel hybrid artificial intelligence approach for flood susceptibility assessment.  ENVIRONMENTAL MODELLING & SOFTWARE.  95:229-245.

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.

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.

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.

Analysis and prediction of meteorological drought using SPI index and ARIMA model in the Karkheh River Basin, Iran.  343-353.

Chapter 26 Analysis and prediction of meteorological drought using SPI index and ARIMA model in the Karkheh River Basin, Iran.  343-353.

Chapter 31 Dam break analysis and flood inundation mapping: The case study of Sefid-Roud Dam, Iran.  395-405.

Chapter 33 Flood susceptibility mapping at Ningdu catchment, China using bivariate and data mining techniques.  419-434.

Dam break analysis and flood inundation mapping: The case study of Sefid-Roud Dam, Iran.  395-405.

Flood susceptibility mapping at Ningdu catchment, China using bivariate and data mining techniques.  419-434.

Difference in the bed load transport of graded and uniform sediments during floods: An experimental investigation.  1645-1664.

Cumulative infiltration and infiltration rate prediction using optimized deep learning algorithms: A study in Western Iran (vol 35, 100825, 2021)

Difference in the bed load transport of graded and uniform sediments during floods: An experimental investigation (vol 50, pg 1645, 2019).  1648-1648.

Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods (vol 8, 15364, 2018).  SCIENTIFIC REPORTS.

Syncing sustainable urban mobility with public transit policy trends based on global data analysis (vol 8, 15364, 2018).  SCIENTIFIC REPORTS.

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.

Shear Stress Distribution Prediction in Symmetric Compound Channels Using Data Mining and Machine Learning Models

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

Advanced Hybrid Machine Learning Algorithms for Multistep Lake Water Level Forecasting

Multi-step-ahead soil temperature forecasting at multiple-depth based on meteorological data: Integrating resampling algorithms and machine learning models

Stacking Ensemble-Based Hybrid Algorithms for Discharge Computation in Sharp-Crested Labyrinth Weirs