T. Phong

发表

Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling?

Jason von Meding, John J. Clague, Ataollah Shirzadi, 2020 .

GIS Based Hybrid Computational Approaches for Flash Flood Susceptibility Assessment

Nadhir Al-Ansari, Binh Thai Pham, Saeid Janizadeh, 2020, Water.

GIS based frequency ratio method for landslide susceptibility mapping at Da Lat City, Lam Dong province, Vietnam

B. Pham, Indra Prakash, A. Jaafari, 2020 .

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.

Prediction Success of Machine Learning Methods for Flash Flood Susceptibility Mapping in the Tafresh Watershed, Iran

B. Pham, Indra Prakash, Saro Lee, 2019, Sustainability.

GIS-based ensemble soft computing models for landslide susceptibility mapping

Huy Quoc Le, Binh Thai Pham, Trung Nguyen-Thoi, 2020 .

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

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

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.

Integrating Landsat 7 and 8 data to improve basalt formation classification: A case study at Buon Ma Thuot region, Central Highland, Vietnam

N. Liem, T. Phong, P. T. Trinh, 2019 .

Community consultation for climate resilient housing: A comparative case study in Vietnam

T. Phong, T. T. Anh, M. Mulenga, 2014 .

Community consultation for long-term climate-resilient housing in Vietnamese cities: a comparative case study

Tran Huu Tuan, T. Phong, T. T. Anh, 2013 .

Recent tectonics, geodynamics and seismotectonics in the Ninh Thuan Nuclear Power plants and surrounding regions, South Vietnam

Bui Nhi Thanh, Tong Phuoc Hoang Son, D. Bui, 2020 .

Gender analysis in building climate resilience in Da Nang Challenges and solutions

T. Phong, T. T. Anh, HA NGUyENTHIKIm, 2016 .

Groundwater Potential Mapping Using GIS‐Based Hybrid Artificial Intelligence Methods

Lanh Si Ho, B. Pham, Indra Prakash, 2021, Ground water.

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.

Flood risk assessment using deep learning integrated with multi-criteria decision analysis

Jason von Meding, Binh Thai Pham, Indra Prakash, 2021, Knowl. Based Syst..

A political economy of urbanisation and climate risk in Vietnam

T. Phong, S. Tyler, M. Garschagen, 2016 .

Ensemble modeling of landslide susceptibility using random subspace learner and different decision tree classifiers

Binh Thai Pham, Trung Nguyen-Thoi, Sushant K. Singh, 2020, Geocarto International.

ASSESSMENT OF GEOMORPHIC PROCESSES AND ACTIVE TECTONICS IN CON VOI MOUNTAIN RANGE AREA (NORTHERN VIETNAM) USING THE HYPSOMETRIC CURVE ANALYSIS METHOD

Tran Van Phong, Phan Trong Trinh, N. Liem, 2016 .

Landslide susceptibility modeling using different artificial intelligence methods: a case study at Muong Lay district, Vietnam

Binh Thai Pham, Sushant K. Singh, Hai-Bang Ly, 2019, Geocarto International.

Naïve Bayes ensemble models for groundwater potential mapping

Nguyen Van Tao, B. Pham, Indra Prakash, 2021, Ecol. Informatics.

A spatially explicit deep learning neural network model for the prediction of landslide susceptibility

Hossein Moayedi, Binh Thai Pham, Tien-Thinh Le, 2020 .

Performance Evaluation of Machine Learning Methods for Forest Fire Modeling and Prediction

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

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.

Exploring novel hybrid soft computing models for landslide susceptibility mapping in Son La hydropower reservoir basin

B. Pham, Indra Prakash, N. Dung, 2021, Geomatics, Natural Hazards and Risk.

Ensemble machine learning models based on Reduced Error Pruning Tree for prediction of rainfall-induced landslides

Neelima Satyam, Binh Thai Pham, Trung Nguyen-Thoi, 2020, Int. J. Digit. Earth.

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.

Development of a Novel Hybrid Intelligence Approach for Landslide Spatial Prediction

Dieu Tien Bui, Ataollah Shirzadi, Binh Thai Pham, 2019, Applied Sciences.

Coupling RBF neural network with ensemble learning techniques for landslide susceptibility mapping

Binh Thai Pham, Trung Nguyen-Thoi, Indra Prakash, 2020 .

Groundwater potential mapping in the Central Highlands of Vietnam using spatially explicit machine learning

B. Pham, A. Jaafari, T. Phong, 2023, Earth Science Informatics.

GIS-Based Soft Computing Models for Landslide Susceptibility Mapping: A Case Study of Pithoragarh District, Uttarakhand State, India

Lanh Si Ho, Fazal E. Jalal, B. Pham, 2021, Mathematical Problems in Engineering.

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

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

Landslide susceptibility mapping at sin Ho, Lai Chau province, Vietnam using ensemble models based on fuzzy unordered rules induction algorithm

D. M. Duc, B. Pham, Indra Prakash, 2022, Geocarto International.

Landslide Susceptibility Mapping Using Single Machine Learning Models: A Case Study from Pithoragarh District, India

B. Pham, Indra Prakash, T. Phong, 2021, Advances in Civil Engineering.

Present Day Deformation in the East Vietnam Sea and Surrounding Regions

N. V. Tien, N. Liem, T. Phong, 2015 .

Chapter 13 Housing sector considerations in disaster risk reduction and climate change adaptation

T. Phong, B. Tinh, 2010 .

Chapter 12 River basin management for effective disaster risk reduction in the face of changing climate

R. Shaw, T. Phong, 2010 .

Integrated river basin management for effective flood risk reduction in Thua Thien Hue, central Viet Nam

T. Phong, Van Giai, 2009 .

Modeling and Mapping of Flood Susceptibility at Que Son District, Quang Nam Province, Vietnam using CatBoost

B. Pham, T. Phong, D. Nguyen, 2023, IOP Conference Series: Materials Science and Engineering.

Improving Voting Feature Intervals for Spatial Prediction of Landslides

Nadhir Al-Ansari, Binh Thai Pham, Sushant K. Singh, 2020, Mathematical Problems in Engineering.

Pliocene - present tectonics and strain rate in Ninh Thuan region and surrounding continental shelf

Bui Nhi Thanh, Vy Thi Hong Lien, B. Pham, 2020 .

Landslide susceptibility mapping using Forest by Penalizing Attributes (FPA) algorithm based machine learning approach

Hai-Bang Ly, Indra Prakash, Tran Van Phong, 2020, VIETNAM JOURNAL OF EARTH SCIENCES.

Prediction of coastal erosion susceptible areas of Quang Nam Province, Vietnam using machine learning models

Bui Nhi Thanh, Indra Prakash, T. Phong, 2023, Earth Sci. Informatics.