Romulus Costache

发表

Hybrid Machine Learning Ensemble Techniques for Modeling Dissolved Oxygen Concentration

Sani Isah Abba, Nguyen Thi Thuy Linh, Jazuli Abdullahi, 2020, IEEE Access.

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

Romulus Costache, Dieu Tien Bui, Phuong Thao Thi Ngo, 2020, Water.

Spatial predicting of flood potential areas using novel hybridizations of fuzzy decision-making, bivariate statistics, and machine learning

Quoc Bao Pham, Romulus Costache, Dieu Tien Bui, 2020 .

Novel hybrid models between bivariate statistics, artificial neural networks and boosting algorithms for flood susceptibility assessment.

Quoc Bao Pham, Romulus Costache, Sunmin Lee, 2020, Journal of environmental management.

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

Wei Chen, Romulus Costache, Amir Mosavi, 2020, Remote. Sens..

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

Mohammad Ali Ghorbani, Nguyen Thi Thuy Linh, Quoc Bao Pham, 2020 .

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

Romulus Costache, R. Costache, 2019, Water Resources Management.

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

Thomas Blaschke, Nguyen Thi Thuy Linh, Romulus Costache, 2021, Sensors.

New neural fuzzy-based machine learning ensemble for enhancing the prediction accuracy of flood susceptibility mapping

Romulus Costache, Dieu Tien Bui, Mihnea Cristian Popa, 2020 .

A New Hybrid Firefly-PSO Optimized Random Subspace Tree Intelligence for Torrential Rainfall-Induced Flash Flood Susceptible Mapping

Jie Dou, Nhat-Duc Hoang, Romulus Costache, 2020, Remote. Sens..

Using GIS, Remote Sensing, and Machine Learning to Highlight the Correlation between the Land-Use/Land-Cover Changes and Flash-Flood Potential

Nguyen Thi Thuy Linh, Quoc Bao Pham, Romulus Costache, 2020, Remote. Sens..

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

Mohammad Ali Ghorbani, Nguyen Thi Thuy Linh, Quoc Bao Pham, 2020, Geoscience Frontiers.

Rainfall induced landslide susceptibility mapping using novel hybrid soft computing methods based on multi-layer perceptron neural network classifier

Romulus Costache, Neelima Satyam, Binh Thai Pham, 2020, Geocarto International.

Identification of areas prone to flash-flood phenomena using multiple-criteria decision-making, bivariate statistics, machine learning and their ensembles.

Romulus Costache, Dieu Tien Bui, D. Tien Bui, 2020, The Science of the total environment.

A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area.

Pijush Samui, Nhat-Duc Hoang, Romulus Costache, 2019, The Science of the total environment.

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

Sani Isah Abba, Nguyen Thi Thuy Linh, Quoc Bao Pham, 2019, Remote. Sens..

Prediction of gully erosion susceptibility mapping using novel ensemble machine learning algorithms

Nhat-Duc Hoang, Romulus Costache, Biswajeet Pradhan, 2021, Geomatics, Natural Hazards and Risk.

An Overview of Flood Risk Analysis Methods

Romulus Costache, Daniel Constantin Diaconu, Mihnea Cristian Popa, 2021, Water.

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

Romulus Costache, Aman Arora, Praveen Kumar Rai, 2021 .

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

Nadhir Al-Ansari, Quoc Bao Pham, Romulus Costache, 2021, Geomatics, Natural Hazards and Risk.

Flash-flood susceptibility mapping based on XGBoost, random forest and boosted regression trees

Quoc Bao Pham, Romulus Costache, Hossein Shafizadeh-Moghadam, 2021, Geocarto International.

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

Thomas Blaschke, Romulus Costache, Asish Saha, 2021, Water.

Detection of areas prone to flood-induced landslides risk using certainty factor and its hybridization with FAHP, XGBoost and deep learning neural network

Quoc Bao Pham, Romulus Costache, Duong Tran Anh, 2021 .

Identification of the most suitable afforestation sites by Juniperus excels specie using machine learning models: Firuzkuh semi-arid region, Iran

Romulus Costache, Mohammadtaghi Avand, Peyman Yariyan, 2021, Ecol. Informatics.

Comparison of multi-criteria-analytical hierarchy process and machine learning-boosted tree models for regional flood susceptibility mapping: a case study from Slovakia

Nguyen Thi Thuy Linh, Quoc Bao Pham, Romulus Costache, 2021 .

Landslide susceptibility mapping using state-of-the-art machine learning ensembles

Romulus Costache, Binh Thai Pham, Indra Prakash, 2021, Geocarto International.

A generalized artificial intelligence model for estimating the friction angle of clays in evaluating slope stability using a deep neural network and Harris Hawks optimization algorithm

Romulus Costache, Panagiotis G. Asteris, Biswajeet Pradhan, 2021, Engineering with Computers.

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

Quoc Bao Pham, Romulus Costache, Omid Ghorbanzadeh, 2021, Geomatics, Natural Hazards and Risk.

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

Romulus Costache, R. Costache, 2019, The Science of the total environment.

Comparative assessment of the flash-flood potential within small mountain catchments using bivariate statistics and their novel hybrid integration with machine learning models.

Quoc Bao Pham, Romulus Costache, Huasheng Hong, 2019, The Science of the total environment.

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

Romulus Costache, Biswajeet Pradhan, Binh Thai Pham, 2020, Water Resources Management.

Potential of Hybrid Data-Intelligence Algorithms for Multi-Station Modelling of Rainfall

Anurag Malik, Nguyen Thi Thuy Linh, Quoc Bao Pham, 2019, Water Resources Management.

Flash-flood potential assessment and mapping by integrating the weights-of-evidence and frequency ratio statistical methods in GIS environment – case study: Bâsca Chiojdului River catchment (Romania)

Romulus Costache, R. Costache, L. Zaharia, 2017, Journal of Earth System Science.

ASSESSMENT OF SOCIOECONOMIC VULNERABILITY TO FLOODS IN THE BÂSCA CHIOJDULUI CATCHMENT AREA

Romulus Costache, R. Costache, 2014 .

Mapping flood and flooding potential indices: a methodological approach to identifying areas susceptible to flood and flooding risk. Case study: the Prahova catchment (Romania)

Romulus Costache, R. Costache, R. Prăvălie, 2017, Frontiers of Earth Science.

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

Romulus Costache, R. Costache, 2019, Stochastic Environmental Research and Risk Assessment.

Spatial prediction of flood potential using new ensembles of bivariate statistics and artificial intelligence: A case study at the Putna river catchment of Romania.

Romulus Costache, Dieu Tien Bui, D. Tien Bui, 2019, The Science of the total environment.

The analysis of the susceptibility of the flash-floodsʼ genesis in the area of the hydrographical basin of Bâsca Chiojdului river

Romulus Costache, R. Costache, R. Prăvălie, 2014 .

Identification of torrential valleys using GIS and a novel hybrid integration of artificial intelligence, machine learning and bivariate statistics

Yi Wang, Romulus Costache, Haoyuan Hong, 2019 .