H. Nguyen

发表

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

Xuan Linh Nguyen, Quang-Thanh Bui, Q. Nguyen, 2020, Journal of Hydrology.

A Comparative Study of Kernel Logistic Regression, Radial Basis Function Classifier, Multinomial Naïve Bayes, and Logistic Model Tree for Flash Flood Susceptibility Mapping

Lanh Si Ho, B. Pham, Indra Prakash, 2020, Water.

A Novel Hybrid Soft Computing Model Using Random Forest and Particle Swarm Optimization for Estimation of Undrained Shear Strength of Soil

Nadhir Al-Ansari, Binh Thai Pham, Trung Nguyen-Thoi, 2020, Sustainability.

Improved flood susceptibility mapping using a best first decision tree integrated with ensemble learning techniques

B. Pham, A. Jaafari, T. Phong, 2021 .

Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping

Nadhir Al-Ansari, Binh Thai Pham, Abolfazl Jaafari, 2020, Applied Sciences.

Flood risk assessment using hybrid artificial intelligence models integrated with multi-criteria decision analysis in Quang Nam Province, Vietnam

B. Pham, Indra Prakash, Chinh Luu, 2021, Journal of Hydrology.

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

Quang-Thanh Bui, H. Nguyen, A. Petrișor, 2020, Land.

Machine Learning and Remote Sensing Application for Extreme Climate Evaluation: Example of Flood Susceptibility in the Hue Province, Central Vietnam Region

H. Nguyen, I. Rus, M. Ha, 2022, Water.

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

Tien Giang Nguyen, Quang-Thanh Bui, Q. Nguyen, 2021, Geocarto International.

GIS-based hybrid machine learning for flood susceptibility prediction in the Nhat Le–Kien Giang watershed, Vietnam

H. Nguyen, 2022, Earth Science Informatics.

Framework of Spatial Flood Risk Assessment for a Case Study in Quang Binh Province, Vietnam

B. Pham, Lam Nguyen, Chinh Luu, 2020, Sustainability.

Locally weighted learning based hybrid intelligence models for groundwater potential mapping and modeling: A case study at Gia Lai province, Vietnam

Nguyen Van Tao, Duong Hai Ha, B. Pham, 2021 .

Spatial prediction of landslides along National Highway-6, Hoa Binh province, Vietnam using novel hybrid models

B. Pham, Indra Prakash, T. Phong, 2021, Geocarto International.

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.

GIS-based hybrid machine learning for flood susceptibility prediction in the Nhat Le–Kien Giang watershed, Vietnam

H. Nguyen, 2022, Earth Science Informatics.

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

Thi Thanh Hai Nguyen, Alexandru-Ionut Petrisor, Phuong Lan Vu, 2021, Remote. Sens..

Salinity intrusion prediction using remote sensing and machine learning in data-limited regions: A case study in Vietnam's Mekong Delta

Tien Giang Nguyen, Quang-Thanh Bui, Q. Nguyen, 2021 .

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

Van-Manh Pham, Quang-Thanh Bui, Huu-Duy Nguyen, 2020, IEEE Access.

Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam

Nadhir Al-Ansari, Abolfazl Jaafari, Indra Prakash, 2020, International journal of environmental research and public health.

GIS-based ensemble computational models for flood susceptibility prediction in the Quang Binh Province, Vietnam

B. Pham, Indra Prakash, Chinh Luu, 2021 .

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.

Improvement of Credal Decision Trees Using Ensemble Frameworks for Groundwater Potential Modeling

Nadhir Al-Ansari, Binh Thai Pham, Indra Prakash, 2020, Sustainability.

Mapping forest fire susceptibility using spatially explicit ensemble models based on the locally weighted learning algorithm

Binh Thai Pham, Trung Nguyen-Thoi, Abolfazl Jaafari, 2021, Ecol. Informatics.

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

T. Chou, M. Yeh, Quang-Thanh Bui, 2021, Environmental Earth Sciences.

Shallow landslide susceptibility mapping: A comparison between classification and regression tree and reduced error pruning tree algorithms

Binh Thai Pham, Saeid Janizadeh, Bahareh Ghasemain, 2020, VIETNAM JOURNAL OF EARTH SCIENCES.

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

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

Quadratic Discriminant Analysis Based Ensemble Machine Learning Models for Groundwater Potential Modeling and Mapping

Duong Hai Ha, B. Pham, Indra Prakash, 2021, Water Resources Management.

Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms

Nadhir Al-Ansari, Himan Shahabi, Ataollah Shirzadi, 2020, International journal of environmental research and public health.

Flood susceptibility assessment using hybrid machine learning and remote sensing in Quang Tri province, Vietnam

H. Nguyen, 2022, Trans. GIS.

A novel hybrid approach to flood susceptibility assessment based on machine learning and land use change. Case study: a river watershed in Vietnam

Xuan Linh Nguyen, Tien Giang Nguyen, Q. Nguyen, 2022, Hydrological Sciences Journal.