Khabat Khosravi

发表

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

Xiaojing Wang, Shuai Zhang, Wei Chen, 2018, Applied Sciences.

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

Nadhir Al-Ansari, Sepideh Bahrami, John J. Clague, 2020, Remote. Sens..

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

Zaher Mundher Yaseen, Khabat Khosravi, Binh Thai Pham, 2019, Comput. Electron. Agric..

A novel ensemble learning based on Bayesian Belief Network coupled with an extreme learning machine for flash flood susceptibility mapping

John J. Clague, Dieu Tien Bui, Khabat Khosravi, 2020, Eng. Appl. Artif. Intell..

Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping

Biswajeet Pradhan, Anuar Ahmad, Dieu Tien Bui, 2018, Sensors.

Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms

Wei Chen, Biswajeet Pradhan, Saro Lee, 2018, Sensors.

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

Hamid Reza Pourghasemi, Saro Lee, Khabat Khosravi, 2019, Applied Sciences.

A comparison of Support Vector Machines and Bayesian algorithms for landslide susceptibility modelling

Dieu Tien Bui, Khabat Khosravi, Kamran Chapi, 2018, Geocarto International.

Sinkhole susceptibility mapping: A comparison between Bayes‐based machine learning algorithms

Francisco Gutiérrez, Himan Shahabi, Khabat Khosravi, 2019, Land Degradation & Development.

A novel hybrid artificial intelligence approach for flood susceptibility assessment

Dieu Tien Bui, Vijay P. Singh, Himan Shahabi, 2017, Environ. Model. Softw..

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

Hamid Reza Pourghasemi, Biswajeet Pradhan, Saro Lee, 2019, Remote. Sens..

Suitable site selections for gabion check dams construction using analytical hierarchy process and decision making methods

Khabat Khosravi, Marouf Emamgholi, Nazila Sedaii, 2015 .

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

Yi Wang, Shaojun Li, Wei Chen, 2019, Applied Sciences.

Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm

Biswajeet Pradhan, John J. Clague, Dieu Tien Bui, 2019, Remote. Sens..

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

Khabat Khosravi, Binh Thai Pham, Moung-Jin Lee, 2021 .

A comparison between advanced hybrid machine learning algorithms and empirical equations applied to abutment scour depth prediction

Zohreh Sheikh Khozani, Khabat Khosravi, Luca Mao, 2021 .

Predicting stable gravel-bed river hydraulic geometry: A test of novel, advanced, hybrid data mining algorithms

Zohreh Sheikh Khozani, Khabat Khosravi, James R. Cooper, 2021, Environ. Model. Softw..

Weighted instances handler wrapper and rotation forest-based hybrid algorithms for sediment transport modeling

Mir Jafar Sadegh Safari, Katayoun Kargar, Khabat Khosravi, 2021, Journal of Hydrology.

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

Khabat Khosravi, Raziyeh Farmani, Patricia M. Saco, 2021, Journal of Hydro-environment Research.

Improving daily stochastic streamflow prediction: comparison of novel hybrid data-mining algorithms

Zaher Mundher Yaseen, Amir Mosavi, Khabat Khosravi, 2021, Hydrological Sciences Journal.

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

Mir Jafar Sadegh Safari, Khabat Khosravi, James R. Cooper, 2021, Ocean Engineering.

Advanced Hybrid Machine Learning Algorithms for Multistep Lake Water Level Forecasting

Jan Adamowski, Khabat Khosravi, John Quilty, 2021 .

Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran

Omid Ghorbanzadeh, Khabat Khosravi, Mahdi Panahi, 2021, Geoscience Frontiers.

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

Dieu Tien Bui, Khabat Khosravi, Mahdi Panahi, 2018 .

Enhancing nitrate and strontium concentration prediction in groundwater by using new data mining algorithm.

Dieu Tien Bui, Zohreh Sheikh Khozani, Khabat Khosravi, 2020, The Science of the total environment.

Improving prediction of water quality indices using novel hybrid machine-learning algorithms.

Khabat Khosravi, Nerantzis Kazakis, Duie Tien Bui, 2020, The Science of the total environment.

A comparison study of DRASTIC methods with various objective methods for groundwater vulnerability assessment.

Frank T.-C. Tsai, Vijay P. Singh, Khabat Khosravi, 2018, The Science of the total environment.

Stochastic Modeling of Groundwater Fluoride Contamination: Introducing Lazy Learners

Jan Adamowski, Khabat Khosravi, Binh Thai Pham, 2019, Ground water.

Bedload transport rate prediction: Application of novel hybrid data mining techniques

Khabat Khosravi, Prasad Daggupati, James R. Cooper, 2020 .

Application and Comparison of Decision Tree-Based Machine Learning Methods in Landside Susceptibility Assessment at Pauri Garhwal Area, Uttarakhand, India

Khabat Khosravi, Binh Thai Pham, Indra Prakash, 2017, Environmental Processes.

A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping

Wei Chen, Biswajeet Pradhan, Vijay P. Singh, 2019, Water.

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

Nadhir Al-Ansari, Himan Shahabi, Khabat Khosravi, 2020, International journal of environmental research and public health.

River suspended sediment load prediction based on river discharge information: application of newly developed data mining models

Hossam Faris, Ahmad Sharafati, Sinan Q. Salih, 2020 .

Determination of compound channel apparent shear stress: application of novel data mining models

Zaher Mundher Yaseen, Zohreh Sheikh Khozani, Khabat Khosravi, 2019, Journal of Hydroinformatics.

Flood susceptibility mapping at Ningdu catchment, China using bivariate and data mining techniques

Himan Shahabi, Khabat Khosravi, Ataollah Shirzadi, 2019, Extreme Hydrology and Climate Variability.

Optimization of an adaptive neuro-fuzzy inference system for groundwater potential mapping

Frank T.-C. Tsai, Khabat Khosravi, Binh Thai Pham, 2019, Hydrogeology Journal.

The potential of novel data mining models for global solar radiation prediction

Ahmad Sharafati, Zaher Mundher Yaseen, Kamal Ahmed, 2019, International Journal of Environmental Science and Technology.

Torrential rainfall-triggered shallow landslide characteristics and susceptibility assessment using ensemble data-driven models in the Dongjiang Reservoir Watershed, China

Ali P. Yunus, Jie Dou, Khabat Khosravi, 2019, Natural Hazards.

Quantifying hourly suspended sediment load using data mining models: Case study of a glacierized Andean catchment in Chile

Zaher Mundher Yaseen, Ozgur Kisi, Khabat Khosravi, 2018, Journal of Hydrology.