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Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS

Journal of hydrology (Amsterdam), 2016-09, Vol.540, p.317-330

2016

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A hybrid artificial intelligence approach using GIS-based neural-fuzzy inference system and particle swarm optimization for forest fire susceptibility modeling at a tropical area

Agricultural and forest meteorology, 2017-02, Vol.233, p.32-44

2017

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Verification of novel integrations of swarm intelligence algorithms into deep learning neural network for flood susceptibility mapping

Journal of hydrology (Amsterdam), 2020-02, Vol.581, p.124379, Article 124379

2020

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A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides

Remote sensing (Basel, Switzerland), 2018-10, Vol.10 (10), p.1538

2018

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Metaheuristic algorithms in optimizing neural network: a comparative study for forest fire susceptibility mapping in Dak Nong, Vietnam

Geomatics, natural hazards and risk, 2019-01, Vol.10 (1), p.136-150

Bui, Quang-Thanh

2019

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Hyper‐parameter optimization of gradient boosters for flood susceptibility analysis

Transactions in GIS, 2023-02, Vol.27 (1), p.224-238

2023

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Whale Optimization Algorithm and Adaptive Neuro-Fuzzy Inference System: a hybrid method for feature selection and land pattern classification

International journal of remote sensing, 2019-07, Vol.40 (13), p.5078-5093

2019

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Multi‐hazard assessment using machine learning and remote sensing in the North Central region of Vietnam

Transactions in GIS, 2023-08, Vol.27 (5), p.1614-1640

2023

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Mangrove forest classification and aboveground biomass estimation using an atom search algorithm and adaptive neuro-fuzzy inference system

PloS one, 2020-05, Vol.15 (5), p.e0233110-e0233110

2020

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Landslide susceptibility prediction using machine learning and remote sensing: Case study in Thua Thien Hue province, Vietnam

Geological journal (Chichester, England), 2024-02, Vol.59 (2), p.636-658

2024

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Henry’s gas solubility optimization algorithm in formulating deep neural network for landslide susceptibility assessment in mountainous areas

Environmental earth sciences, 2021-06, Vol.80 (11), Article 414

2021

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Fine-Tuning LightGBM Using an Artificial Ecosystem-Based Optimizer for Forest Fire Analysis

Forest science, 2023-02, Vol.69 (1), p.73-82

2023

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Evaluating the effects of climate and land use change on the future flood susceptibility in the central region of Vietnam by integrating land change modeler, machine learning methods

Geocarto international, 2022-12, Vol.37 (26), p.12810-12845

2022

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A novel combination of deep neural network and Manta ray foraging optimization for flood susceptibility mapping in Quang Ngai province, Vietnam

Geocarto international, 2022-12, Vol.37 (25), p.7531-7555

2022

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Urbanization impact on landscape patterns in cultural heritage preservation sites: a case study of the complex of Huế Monuments, Vietnam

Landscape ecology, 2021-04, Vol.36 (4), p.1235-1260

2021

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Spatial resolution enhancement method for Landsat imagery using a Generative Adversarial Network

Remote sensing letters, 2021-07, Vol.12 (7), p.654-665

2021

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Convolutional Neural Network-Optimized Moth Flame Algorithm for Shallow Landslide Susceptible Analysis

IEEE access, 2020, Vol.8, p.32727-32736

2020

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Swarm‐based optimizer for convolutional neural network: An application for flood susceptibility mapping

Transactions in GIS, 2021-04, Vol.25 (2), p.1009-1026

2021

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Quantitative assessment of urbanization and impacts in the complex of Huế Monuments, Vietnam

Applied geography (Sevenoaks), 2019-11, Vol.112, p.102096, Article 102096

2019

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Predicting Future Urban Flood Risk Using Land Change and Hydraulic Modeling in a River Watershed in the Central Province of Vietnam

Remote sensing (Basel, Switzerland), 2021-01, Vol.13 (2), p.262

2021

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Hybrid machine learning models for aboveground biomass estimations

Ecological informatics, 2024-03, Vol.79, p.102421, Article 102421

2024

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Gradient Boosting Machine and Object-Based CNN for Land Cover Classification

Remote sensing (Basel, Switzerland), 2021-07, Vol.13 (14), p.2709

2021

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Degradation of Coastlines under the Pressure of Urbanization and Tourism: Evidence on the Change of Land Systems from Europe, Asia and Africa

Land (Basel), 2020-08, Vol.9 (8), p.275

2020

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An optimal search for neural network parameters using the Salp swarm optimization algorithm: a landslide application

Remote sensing letters, 2020-04, Vol.11 (4), p.353-362

2020

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Understanding spatial variations of malaria in Vietnam using remotely sensed data integrated into GIS and machine learning classifiers

Geocarto international, 2019-10, Vol.34 (12), p.1300-1314

2019

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Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS

A hybrid artificial intelligence approach using GIS-based neural-fuzzy inference system and particle swarm optimization for forest fire susceptibility modeling at a tropical area

Verification of novel integrations of swarm intelligence algorithms into deep learning neural network for flood susceptibility mapping

A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides

Metaheuristic algorithms in optimizing neural network: a comparative study for forest fire susceptibility mapping in Dak Nong, Vietnam

Hyper‐parameter optimization of gradient boosters for flood susceptibility analysis

Whale Optimization Algorithm and Adaptive Neuro-Fuzzy Inference System: a hybrid method for feature selection and land pattern classification

Multi‐hazard assessment using machine learning and remote sensing in the North Central region of Vietnam

Mangrove forest classification and aboveground biomass estimation using an atom search algorithm and adaptive neuro-fuzzy inference system

Landslide susceptibility prediction using machine learning and remote sensing: Case study in Thua Thien Hue province, Vietnam

Henry’s gas solubility optimization algorithm in formulating deep neural network for landslide susceptibility assessment in mountainous areas

Fine-Tuning LightGBM Using an Artificial Ecosystem-Based Optimizer for Forest Fire Analysis

Evaluating the effects of climate and land use change on the future flood susceptibility in the central region of Vietnam by integrating land change modeler, machine learning methods

A novel combination of deep neural network and Manta ray foraging optimization for flood susceptibility mapping in Quang Ngai province, Vietnam

Urbanization impact on landscape patterns in cultural heritage preservation sites: a case study of the complex of Huế Monuments, Vietnam

Spatial resolution enhancement method for Landsat imagery using a Generative Adversarial Network

Convolutional Neural Network-Optimized Moth Flame Algorithm for Shallow Landslide Susceptible Analysis

Swarm‐based optimizer for convolutional neural network: An application for flood susceptibility mapping

Quantitative assessment of urbanization and impacts in the complex of Huế Monuments, Vietnam

Predicting Future Urban Flood Risk Using Land Change and Hydraulic Modeling in a River Watershed in the Central Province of Vietnam

Hybrid machine learning models for aboveground biomass estimations

Gradient Boosting Machine and Object-Based CNN for Land Cover Classification

Degradation of Coastlines under the Pressure of Urbanization and Tourism: Evidence on the Change of Land Systems from Europe, Asia and Africa

An optimal search for neural network parameters using the Salp swarm optimization algorithm: a landslide application

Understanding spatial variations of malaria in Vietnam using remotely sensed data integrated into GIS and machine learning classifiers

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