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Use of Machine Learning to Predict California Bearing Ratio of Soils

Advances in Civil Engineering, 2023-01, Vol.2023, p.1-11

2023

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Site Selection of Isolation Hospital for Coronavirus Patients in Nile Delta, Egypt, Using GIS Technology

Advances in Civil Engineering, 2022-09, Vol.2022 (1)

2022

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Ensemble Tree-Based Approach to Predict the Rotation Capacity of Wide-Flange Beams

Advances in Civil Engineering, 2022, Vol.2022 (1)

2022

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Application of remote sensing and machine learning algorithms for forest fire mapping in a Mediterranean area

Ecological indicators, 2021-10, Vol.129, p.107869, Article 107869

2021

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Flash-Flood Potential assessment in the upper and middle sector of Prahova river catchment (Romania). A comparative approach between four hybrid models

The Science of the total environment, 2019-04, Vol.659, p.1115-1134

Costache, Romulus

2019

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GIS-based comparative assessment of flood susceptibility mapping using hybrid multi-criteria decision-making approach, naïve Bayes tree, bivariate statistics and logistic regression: A case of Topľa basin, Slovakia

Ecological indicators, 2020-10, Vol.117, p.106620, Article 106620

2020

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Flood Susceptibility Assessment by Using Bivariate Statistics and Machine Learning Models - A Useful Tool for Flood Risk Management

Water resources management, 2019-07, Vol.33 (9), p.3239-3256

Costache, Romulus

2019

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GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran

Remote sensing (Basel, Switzerland), 2020-08, Vol.12 (15), p.2478

2020

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Flash-Flood Susceptibility Assessment Using Multi-Criteria Decision Making and Machine Learning Supported by Remote Sensing and GIS Techniques

Remote sensing (Basel, Switzerland), 2020-01, Vol.12 (1), p.106

2020

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Flash-Flood Potential Mapping Using Deep Learning, Alternating Decision Trees and Data Provided by Remote Sensing Sensors

Sensors (Basel, Switzerland), 2021-01, Vol.21 (1), p.280

2021

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GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms

Di xue qian yuan., 2021-03, Vol.12 (2), p.857-876

2021

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Improvement of Best First Decision Trees Using Bagging and Dagging Ensembles for Flood Probability Mapping

Water resources management, 2020-07, Vol.34 (9), p.3037-3053

2020

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Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms

Stochastic environmental research and risk assessment, 2020-12, Vol.34 (12), p.2277-2300

2020

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Flash-flood Potential Index mapping using weights of evidence, decision Trees models and their novel hybrid integration

Stochastic environmental research and risk assessment, 2019-07, Vol.33 (7), p.1375-1402

Costache, Romulus

2019

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Novel Ensembles of Deep Learning Neural Network and Statistical Learning for Flash-Flood Susceptibility Mapping

Water (Basel), 2020-06, Vol.12 (6), p.1549

2020

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Comparative evaluation of geospatial scenario-based land change simulation models using landscape metrics

Ecological indicators, 2021-09, Vol.128, p.107810, Article 107810

2021

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Flood Susceptibility Assessment Using Novel Ensemble of Hyperpipes and Support Vector Regression Algorithms

Water (Basel), 2021-01, Vol.13 (2), p.241

2021

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Flood susceptibility mapping using an improved analytic network process with statistical models

Geomatics, natural hazards and risk, 2020-01, Vol.11 (1), p.2282-2314

2020

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Integrated Framework for Detecting the Areas Prone to Flooding Generated by Flash-Floods in Small River Catchments

Water (Basel), 2021-03, Vol.13 (6), p.758

2021

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A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mapping

Geomatics, natural hazards and risk, 2021-01, Vol.12 (1), p.1741-1777

2021

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An Overview of Flood Risk Analysis Methods

Water (Basel), 2021-02, Vol.13 (4), p.474

2021

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Detection of areas prone to flood risk using state-of-the-art machine learning models

Geomatics, natural hazards and risk, 2021-01, Vol.12 (1), p.1488-1507

2021

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Performance assessment of artificial neural network using chi-square and backward elimination feature selection methods for landslide susceptibility analysis

Environmental earth sciences, 2021-10, Vol.80 (20), Article 686

2021

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Enhancing the Accuracy of the REPTree by Integrating the Hybrid Ensemble Meta-Classifiers for Modelling the Landslide Susceptibility of Idukki District, South-western India

Journal of the Indian Society of Remote Sensing, 2022-11, Vol.50 (11), p.2245-2265

2022

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Simulation of the Potential Impacts of Projected Climate and Land Use Change on Runoff under CMIP6 Scenarios

Water (Basel), 2023-10, Vol.15 (19), p.3421

2023

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Use of Machine Learning to Predict California Bearing Ratio of Soils

Site Selection of Isolation Hospital for Coronavirus Patients in Nile Delta, Egypt, Using GIS Technology

Ensemble Tree-Based Approach to Predict the Rotation Capacity of Wide-Flange Beams

Application of remote sensing and machine learning algorithms for forest fire mapping in a Mediterranean area

Flash-Flood Potential assessment in the upper and middle sector of Prahova river catchment (Romania). A comparative approach between four hybrid models

GIS-based comparative assessment of flood susceptibility mapping using hybrid multi-criteria decision-making approach, naïve Bayes tree, bivariate statistics and logistic regression: A case of Topľa basin, Slovakia

Flood Susceptibility Assessment by Using Bivariate Statistics and Machine Learning Models - A Useful Tool for Flood Risk Management

GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran

Flash-Flood Susceptibility Assessment Using Multi-Criteria Decision Making and Machine Learning Supported by Remote Sensing and GIS Techniques

Flash-Flood Potential Mapping Using Deep Learning, Alternating Decision Trees and Data Provided by Remote Sensing Sensors

GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms

Improvement of Best First Decision Trees Using Bagging and Dagging Ensembles for Flood Probability Mapping

Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms

Flash-flood Potential Index mapping using weights of evidence, decision Trees models and their novel hybrid integration

Novel Ensembles of Deep Learning Neural Network and Statistical Learning for Flash-Flood Susceptibility Mapping

Comparative evaluation of geospatial scenario-based land change simulation models using landscape metrics

Flood Susceptibility Assessment Using Novel Ensemble of Hyperpipes and Support Vector Regression Algorithms

Flood susceptibility mapping using an improved analytic network process with statistical models

Integrated Framework for Detecting the Areas Prone to Flooding Generated by Flash-Floods in Small River Catchments

A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mapping

An Overview of Flood Risk Analysis Methods

Detection of areas prone to flood risk using state-of-the-art machine learning models

Performance assessment of artificial neural network using chi-square and backward elimination feature selection methods for landslide susceptibility analysis

Enhancing the Accuracy of the REPTree by Integrating the Hybrid Ensemble Meta-Classifiers for Modelling the Landslide Susceptibility of Idukki District, South-western India

Simulation of the Potential Impacts of Projected Climate and Land Use Change on Runoff under CMIP6 Scenarios

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