Quoc Bao Pham

发表

Hybrid Machine Learning Ensemble Techniques for Modeling Dissolved Oxygen Concentration

Sani Isah Abba, Nguyen Thi Thuy Linh, Jazuli Abdullahi, 2020, IEEE Access.

Spatial predicting of flood potential areas using novel hybridizations of fuzzy decision-making, bivariate statistics, and machine learning

Quoc Bao Pham, Romulus Costache, Dieu Tien Bui, 2020 .

Flood susceptibility modelling using advanced ensemble machine learning models

Nguyen Thi Thuy Linh, Quoc Bao Pham, Abu Reza Md. Towfiqul Islam, 2020 .

Hybrid model to improve the river streamflow forecasting utilizing multi-layer perceptron-based intelligent water drop optimization algorithm

Nguyen Thi Thuy Linh, Quoc Bao Pham, Babak Mohammadi, 2020, Soft Computing.

Novel hybrid models between bivariate statistics, artificial neural networks and boosting algorithms for flood susceptibility assessment.

Quoc Bao Pham, Romulus Costache, Sunmin Lee, 2020, Journal of environmental management.

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

Mohammad Ali Ghorbani, Nguyen Thi Thuy Linh, Quoc Bao Pham, 2020 .

Implementing novel hybrid models to improve indirect measurement of the daily soil temperature: Elman neural network coupled with gravitational search algorithm and ant colony optimization

Nguyen Thi Thuy Linh, Quoc Bao Pham, Dao Nguyen Khoi, 2020 .

A Water Supply Pipeline Risk Analysis Methodology Based on DIY and Hierarchical Fuzzy Inference

Abdul Salam Shah, Nguyen Thi Thuy Linh, Quoc Bao Pham, 2020, Symmetry.

Enhancing the Prediction Accuracy of Data-Driven Models for Monthly Streamflow in Urmia Lake Basin Based upon the Autoregressive Conditionally Heteroskedastic Time-Series Model

Quoc Bao Pham, Ahmed El-Shafie, Mohammad Rezaie-Balf, 2020, Applied Sciences.

Using GIS, Remote Sensing, and Machine Learning to Highlight the Correlation between the Land-Use/Land-Cover Changes and Flash-Flood Potential

Nguyen Thi Thuy Linh, Quoc Bao Pham, Romulus Costache, 2020, Remote. Sens..

Developing Novel Robust Models to Improve the Accuracy of Daily Streamflow Modeling

Nguyen Thi Thuy Linh, Quoc Bao Pham, Babak Mohammadi, 2020, Water Resources Management.

GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms

Mohammad Ali Ghorbani, Nguyen Thi Thuy Linh, Quoc Bao Pham, 2020, Geoscience Frontiers.

Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series

Nguyen Thi Thuy Linh, Quoc Bao Pham, Ahmed El-Shafie, 2020 .

Flash-Flood Susceptibility Assessment Using Multi-Criteria Decision Making and Machine Learning Supported by Remote Sensing and GIS Techniques

Sani Isah Abba, Nguyen Thi Thuy Linh, Quoc Bao Pham, 2019, Remote. Sens..

Characterization of the 2014 Indus River Flood Using Hydraulic Simulations and Satellite Images

Nguyen Thi Thuy Linh, Quoc Bao Pham, Alexandre S. Gagnon, 2021, Remote. Sens..

Spatial prediction of landslide susceptibility in western Serbia using hybrid support vector regression (SVR) with GWO, BAT and COA algorithms

Quoc Bao Pham, Ljubomir Gigović, Abdul-Lateef Balogun, 2021, Geoscience Frontiers.

A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mapping

Nadhir Al-Ansari, Quoc Bao Pham, Romulus Costache, 2021, Geomatics, Natural Hazards and Risk.

Flash-flood susceptibility mapping based on XGBoost, random forest and boosted regression trees

Quoc Bao Pham, Romulus Costache, Hossein Shafizadeh-Moghadam, 2021, Geocarto International.

Improving the Resolution of GRACE Data for Spatio-Temporal Groundwater Storage Assessment

Quoc Bao Pham, Duong Tran Anh, Thanh Duc Dang, 2021, Remote. Sens..

GIS-Based Spatial and Multi-Criteria Assessment of Riverine Flood Potential: A Case Study of the Nitra River Basin, Slovakia

Quoc Bao Pham, Matej Vojtek, Jana Vojteková, 2021, ISPRS Int. J. Geo Inf..

Detection of areas prone to flood-induced landslides risk using certainty factor and its hybridization with FAHP, XGBoost and deep learning neural network

Quoc Bao Pham, Romulus Costache, Duong Tran Anh, 2021 .

Evaluation of various boosting ensemble algorithms for predicting flood hazard susceptibility areas

Quoc Bao Pham, Duong Tran Anh, Saeid Janizadeh, 2021, Geomatics, Natural Hazards and Risk.

Validation of double averaged velocity method in a variable width river

Quoc Bao Pham, Hossein Afzalimehr, Ehsan Shahiri Tabarestani, 2021, Earth Science Informatics.

Predicting landslide susceptibility based on decision tree machine learning models under climate and land use changes

Quoc Bao Pham, Duong Tran Anh, Asish Saha, 2021, Geocarto International.

Comparison of multi-criteria-analytical hierarchy process and machine learning-boosted tree models for regional flood susceptibility mapping: a case study from Slovakia

Nguyen Thi Thuy Linh, Quoc Bao Pham, Romulus Costache, 2021 .

Application of an artificial intelligence technique enhanced with intelligent water drops for monthly reference evapotranspiration estimation

Quoc Bao Pham, Saeid Mehdizadeh, Ngoc Duong Vo, 2021, Agricultural Water Management.

Detection of areas prone to flood risk using state-of-the-art machine learning models

Quoc Bao Pham, Romulus Costache, Omid Ghorbanzadeh, 2021, Geomatics, Natural Hazards and Risk.

Comparative assessment of the flash-flood potential within small mountain catchments using bivariate statistics and their novel hybrid integration with machine learning models.

Quoc Bao Pham, Romulus Costache, Huasheng Hong, 2019, The Science of the total environment.

Modelling and accessing land degradation vulnerability using remote sensing techniques and the analytical hierarchy process approach

Quoc Bao Pham, Duong Tran Anh, Q. Pham, 2021 .

Potential of Hybrid Data-Intelligence Algorithms for Multi-Station Modelling of Rainfall

Anurag Malik, Nguyen Thi Thuy Linh, Quoc Bao Pham, 2019, Water Resources Management.

Implementation of data intelligence models coupled with ensemble machine learning for prediction of water quality index

Sani Isah Abba, Quoc Bao Pham, Rabiu Aliyu Abdulkadir, 2020, Environmental Science and Pollution Research.

Combing Random Forest and Least Square Support Vector Regression for Improving Extreme Rainfall Downscaling

Quoc Bao Pham, Pao-Shan Yu, Chen Min Kuo, 2019, Water.

Emerging evolutionary algorithm integrated with kernel principal component analysis for modeling the performance of a water treatment plant

Nguyen Thi Thuy Linh, Quoc Bao Pham, Quang-Vu Bach, 2020 .