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Flocculation-dewatering prediction of fine mineral tailings using a hybrid machine learning approach

Chemosphere, Volume 244, April 2020, pp 1-16

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

Geocarto International, 1-24 //doi.org/10.1080/10106049.2019.1665715

Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials

Materials, Volume 12 Issue 11, pp1-19

Macroscopic permeability of doubly porous materials with cylindrical and spherical macropores

Meccanica, 02 August 2019, pp 1–14,

Analysis of Tourist Travel Behavior and Recommendation for Active Transport Encouragement Strategies, the Case of Hue City

CIGOS 2019, Innovation for Sustainable Infrastructure, Lecture Notes in Civil Engineering 54, pp 1049-1055

A Possibility of AI Application on Mode-choice Prediction of Transport Users in Hanoi

CIGOS 2019, Innovation for Sustainable Infrastructure, Lecture Notes in Civil Engineering 54, pp 1179-1184

Development of Artificial Neural Networks for Prediction of Compression Coefficient of Soft Soil

CIGOS 2019, Innovation for Sustainable Infrastructure, Lecture Notes in Civil Engineering 54, pp 1167-1172

Adaptive Network Based Fuzzy Inference System with Meta-Heuristic Optimizations for International Roughness Index Prediction

Applied Sciences (Switzerland), Volume 9 Issue 21, 5 November 2019, pp 1-18

Development of an AI Model to Measure Traffic Air Pollution from Multisensor and Weather Data

Sensors, Volume 19, Issue 22, pp 1-17, 13 November 2019

Improvement of ANFIS Model for Prediction of Compressive Strength of Manufactured Sand Concrete

Applied Sciences (Switzerland), Volume 9 Issue 18, 12 September 2019, pp 1-16

Development of Hybrid Machine Learning Models for Predicting the Critical Buckling Load of I-Shaped Cellular Beams

Applied Sciences (Switzerland), Volume 9 Issue 24, 12 December 2019, pp 1-21,

A Novel Intelligence Approach of a Sequential Minimal Optimization-Based Support Vector Machine for Landslide Susceptibility Mapping

Sustainability, Volume 11, Issue 22, pp 1-31

Development of 48-hour Precipitation Forecasting Model using Nonlinear Autoregressive Neural Network

CIGOS 2019, Innovation for Sustainable Infrastructure, Lecture Notes in Civil Engineering 54, pp 1191-1196

Development of Hybrid Artificial Intelligence Approaches and a Support Vector Machine Algorithm for Predicting the Marshall Parameters of Stone Matrix Asphalt

Applied Sciences 9 (15), 3172

Temperature effects on chloride binding capacity of cementitious materials

Magazine of Concrete Research, 1-39

Artificial Intelligence Approaches for Prediction of Compressive Strength of Geopolymer Concrete

Materials 12 (6), 983

Prediction of Compressive Strength of Geopolymer Concrete Using Entirely Steel Slag Aggregates: Novel Hybrid Artificial Intelligence Approaches

Applied Sciences 9 (6), 1113

Prediction and Sensitivity Analysis of Bubble Dissolution Time in 3D Selective Laser Sintering Using Ensemble Decision Trees

Materials 12 (9), 1544

Hybrid Artificial Intelligence Approaches for Predicting Buckling Damage of Steel Columns Under Axial Compression

Materials 12 (10), 1670

Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis

Science of The Total Environment 679, 172-184

Hybrid Artificial Intelligence Approaches for Predicting Critical Buckling Load of Structural Members under Compression Considering the Influence of Initial Geometric Imperfections

Appl. Sci. 2019, 9, 2258

A comparative assessment of flood susceptibility modeling using Multi- Criteria Decision-Making Analysis and Machine Learning Methods

Journal of Hydrology 573 (2019) 311–323

On the factors affecting porosity dissolution in selective laser sintering process

AIP Conference Proceedings 1960 (1), 120014

Versatile functionalization platform of biporous poly (2-hydroxyethyl methacrylate)-based materials: Application in heterogeneous supported catalysis

Reactive and Functional Polymers 121, 91-100

Biporous polymeric materials with controlled pore size and connectivity

ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 252

Biporous Crosslinked Polymers With Controlled Pore Size and Connectivity

Macromolecular Symposia 365 (1), 49-58

Functionalized Doubly Porous Networks: From Synthesis to Application in Heterogeneous Catalysis

Macromolecular Symposia 365 (1), 40-48

Computation of permeability with Fast Fourier Transform from 3-D digital images of porous microstructures

International Journal of Numerical Methods for Heat & Fluid Flow 26 (5)

Tailoring doubly porous poly (2-hydroxyethyl methacrylate)-based materials via thermally induced phase separation

Polymer 86, 138-146

Facile fabrication of doubly porous polymeric materials with controlled nano-and macro-porosity

Polymer 78, 13-21

Designing and modeling doubly porous polymeric materials

The European Physical Journal Special Topics 224 (9), 1689-1706

Functional doubly porous materials based on polymer networks

ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 248

Novel Polymeric Materials with Double Porosity: Synthesis and Characterization

Macromolecular Symposia 340 (1), 18-27

Engineering functional doubly porous PHEMA-based materials

Polymer 55 (1), 373-379