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Nguyen Thi Thuy Linh
Researcher at Water Resources University
Publications - 106
Citations - 2197
Nguyen Thi Thuy Linh is an academic researcher from Water Resources University. The author has contributed to research in topics: Computer science & Environmental science. The author has an hindex of 16, co-authored 68 publications receiving 761 citations. Previous affiliations of Nguyen Thi Thuy Linh include National Cheng Kung University & Asia Pacific University of Technology & Innovation.
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Journal ArticleDOI
Flood susceptibility modelling using advanced ensemble machine learning models
Abu Reza Md. Towfiqul Islam,Swapan Talukdar,Susanta Mahato,Sonali Kundu,Kutub Uddin Eibek,Quoc Bao Pham,Alban Kuriqi,Nguyen Thi Thuy Linh +7 more
TL;DR: The methodology and solution-oriented results presented in this paper will assist the regional as well as local authorities and the policy-makers for mitigating the risks related to floods and also help in developing appropriate mitigation measures to avoid potential damages.
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Flash-Flood Susceptibility Assessment Using Multi-Criteria Decision Making and Machine Learning Supported by Remote Sensing and GIS Techniques
Romulus Costache,Quoc Bao Pham,Ehsan Sharifi,Nguyen Thi Thuy Linh,Sani Isah Abba,Matej Vojtek,Jana Vojteková,Pham Thi Thao Nhi,Dao Nguyen Khoi +8 more
TL;DR: The performance of the models is evaluated using statistical metrics (i.e., sensitivity, specificity and accuracy) while the validation of the results is done by constructing the Receiver Operating Characteristics (ROC) Curve and Area Under Curve (AUC) values and by calculating the density of torrential pixels within FFPI classes.
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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
Sk Ajim Ali,Farhana Parvin,Quoc Bao Pham,Matej Vojtek,Jana Vojteková,Romulus Costache,Nguyen Thi Thuy Linh,Hong Quan Nguyen,Ateeque Ahmad,Mohammad Ali Ghorbani +9 more
TL;DR: The presented methodological approach used for the identification of flood susceptible areas can serve as an alternative for the updating of preliminary flood risk assessment based on the EU Floods Directive.
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Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms
Swapan Talukdar,Bonosri Ghose,Shahfahad,Roquia Salam,Susanta Mahato,Quoc Bao Pham,Nguyen Thi Thuy Linh,Romulus Costache,Mohammadtaghi Avand +8 more
TL;DR: In this paper, the authors developed ensembles of bagging with REPtree, random forest (RF), M5P, and random tree (RT) algorithms for obtaining reliable and highly accurate results.
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GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms
Sk Ajim Ali,Farhana Parvin,Jana Vojteková,Romulus Costache,Nguyen Thi Thuy Linh,Quoc Bao Pham,Matej Vojtek,Ljubomir Gigović,Ateeque Ahmad,Mohammad Ali Ghorbani +9 more
TL;DR: The results revealed that random forest (RF) classifier is a promising and optimum model for landslide susceptibility in the study area with a very high value of area under curve, lower value of mean absolute error, and higher value of Kappa index.