Search Results - "Costache, Romulus"
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Application of remote sensing and machine learning algorithms for forest fire mapping in a Mediterranean area
Published in Ecological indicators (01-10-2021)“…•Five new ensemble models were developed for forest fire susceptibility modeling.•10 conditioning factors were considered in this study.•RF-FR ensemble model…”
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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
Published in Ecological indicators (01-10-2020)“…[Display omitted] •Flood susceptibility is assessed using bivariate statistics, MCDSA, and machine learning.•Different physical-geographical factors were…”
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GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran
Published in Remote sensing (Basel, Switzerland) (01-08-2020)“…In the present study, gully erosion susceptibility was evaluated for the area of the Robat Turk Watershed in Iran. The assessment of gully erosion…”
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Flash-Flood Susceptibility Assessment Using Multi-Criteria Decision Making and Machine Learning Supported by Remote Sensing and GIS Techniques
Published in Remote sensing (Basel, Switzerland) (01-01-2020)“…Concerning the significant increase in the negative effects of flash-floods worldwide, the main goal of this research is to evaluate the power of the…”
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Improvement of Best First Decision Trees Using Bagging and Dagging Ensembles for Flood Probability Mapping
Published in Water resources management (01-07-2020)“…Development of zoning and flood-forecasting models is essential for making optimal management decisions before and after floods. The Komijan watershed of…”
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Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms
Published in Stochastic environmental research and risk assessment (01-12-2020)“…The flooding in Bangladesh during monsoon season is very common and frequently happens. Consequently, people have been experiencing tremendous damage to…”
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Novel Ensembles of Deep Learning Neural Network and Statistical Learning for Flash-Flood Susceptibility Mapping
Published in Water (Basel) (01-06-2020)“…This study aimed to assess flash-flood susceptibility using a new hybridization approach of Deep Neural Network (DNN), Analytical Hierarchy Process (AHP), and…”
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Comparative evaluation of geospatial scenario-based land change simulation models using landscape metrics
Published in Ecological indicators (01-09-2021)“…[Display omitted] •Markov chain-based land change models are used to simulate landscape scenario.•Landscape metrics-based approach is introduced for comparing…”
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Flash-Flood Potential Mapping Using Deep Learning, Alternating Decision Trees and Data Provided by Remote Sensing Sensors
Published in Sensors (Basel, Switzerland) (04-01-2021)“…There is an evident increase in the importance that remote sensing sensors play in the monitoring and evaluation of natural hazards susceptibility and risk…”
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Flood Susceptibility Assessment Using Novel Ensemble of Hyperpipes and Support Vector Regression Algorithms
Published in Water (Basel) (01-01-2021)“…Recurrent floods are one of the major global threats among people, particularly in developing countries like India, as this nation has a tropical monsoon type…”
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Flood susceptibility mapping using an improved analytic network process with statistical models
Published in Geomatics, natural hazards and risk (01-01-2020)“…Flooding is a natural disaster that causes considerable damage to different sectors and severely affects economic and social activities. The city of Saqqez in…”
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Integrated Framework for Detecting the Areas Prone to Flooding Generated by Flash-Floods in Small River Catchments
Published in Water (Basel) (01-03-2021)“…In the present study, the susceptibility to flash-floods and flooding was studied across the Izvorul Dorului River basin in Romania. In the first phase, three…”
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A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mapping
Published in Geomatics, natural hazards and risk (01-01-2021)“…Landslides are dangerous events which threaten both human life and property. The study aims to analyze the landslide susceptibility (LS) in the Kysuca river…”
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Performance assessment of artificial neural network using chi-square and backward elimination feature selection methods for landslide susceptibility analysis
Published in Environmental earth sciences (01-10-2021)“…In the machine learning models, it is desirable to remove most redundant features from the data set to reduce the data processing time and to improve accuracy…”
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Flood-prone area mapping using machine learning techniques: a case study of Quang Binh province, Vietnam
Published in Natural hazards (Dordrecht) (01-09-2021)“…Vietnam’s central coastal region is the most vulnerable and always at flood risk, severely affecting people’s livelihoods and socio-economic development. In…”
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Detection of areas prone to flood risk using state-of-the-art machine learning models
Published in Geomatics, natural hazards and risk (01-01-2021)“…The present study aims to evaluate the susceptibility to floods in the river basin of Buzau in Romania through the following 6 machine learning models: Support…”
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An Overview of Flood Risk Analysis Methods
Published in Water (Basel) (01-02-2021)“…Scientific papers present a wide range of methods of flood analysis and forecasting. Floods are a phenomenon with significant socio-economic implications, for…”
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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
Published in Journal of the Indian Society of Remote Sensing (01-11-2022)“…Idukki district, situated in the Western Ghats of Peninsular India, is one of the high landslide susceptible zones with frequent landslide occurrences during…”
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Simulation of the Potential Impacts of Projected Climate and Land Use Change on Runoff under CMIP6 Scenarios
Published in Water (Basel) (01-10-2023)“…Assessing the impacts of climate change and land use/land cover changes on water resources within a catchment is essential because it helps us understand how…”
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Prediction of gully erosion susceptibility mapping using novel ensemble machine learning algorithms
Published in Geomatics, natural hazards and risk (01-01-2021)“…Spatial modelling of gully erosion at regional level is very relevant for local authorities to establish successful counter-measures and to change land-use…”
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