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Lý Hải Bằng

Lý Hải Bằng

Tiến sĩ

Trường Đại học Công nghệ Giao thông vận tải

Đơn vị: Khoa Công trình

Quá trình nghiên cứu khoa học
  • stars 1. Các đề tài nghiên cứu khoa học đã tham gia
  • TT
    Tên đề tài
    Năm hoàn thành
    Đề tài cấp
  • Chưa có thông tin
  • stars 2. Các công trình khoa học đã công bố
  • TT
    Tên công trình
    Năm
    Nơi công bố
  • 1
    Flocculation-dewatering prediction of fine mineral tailings using a hybrid machine learning approach
    2020
    Chemosphere, Volume 244, April 2020, pp 1-16
  • 2
    Landslide susceptibility modeling using different artificial intelligence methods: a case study at Muong Lay district, Vietnam
    2019
    Geocarto International, 1-24 //doi.org/10.1080/10106049.2019.1665715
  • 3
    Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials
    2019
    Materials, Volume 12 Issue 11, pp1-19
  • 4
    Macroscopic permeability of doubly porous materials with cylindrical and spherical macropores
    2019
    Meccanica, 02 August 2019, pp 1–14,
  • 5
    Analysis of Tourist Travel Behavior and Recommendation for Active Transport Encouragement Strategies, the Case of Hue City
    2019
    CIGOS 2019, Innovation for Sustainable Infrastructure, Lecture Notes in Civil Engineering 54, pp 1049-1055
  • 6
    A Possibility of AI Application on Mode-choice Prediction of Transport Users in Hanoi
    2019
    CIGOS 2019, Innovation for Sustainable Infrastructure, Lecture Notes in Civil Engineering 54, pp 1179-1184
  • 7
    Development of Artificial Neural Networks for Prediction of Compression Coefficient of Soft Soil
    2019
    CIGOS 2019, Innovation for Sustainable Infrastructure, Lecture Notes in Civil Engineering 54, pp 1167-1172
  • 8
    Adaptive Network Based Fuzzy Inference System with Meta-Heuristic Optimizations for International Roughness Index Prediction
    2019
    Applied Sciences (Switzerland), Volume 9 Issue 21, 5 November 2019, pp 1-18
  • 9
    Development of an AI Model to Measure Traffic Air Pollution from Multisensor and Weather Data
    2019
    Sensors, Volume 19, Issue 22, pp 1-17, 13 November 2019
  • 10
    Improvement of ANFIS Model for Prediction of Compressive Strength of Manufactured Sand Concrete
    2019
    Applied Sciences (Switzerland), Volume 9 Issue 18, 12 September 2019, pp 1-16
  • 11
    Development of Hybrid Machine Learning Models for Predicting the Critical Buckling Load of I-Shaped Cellular Beams
    2019
    Applied Sciences (Switzerland), Volume 9 Issue 24, 12 December 2019, pp 1-21,
  • 12
    A Novel Intelligence Approach of a Sequential Minimal Optimization-Based Support Vector Machine for Landslide Susceptibility Mapping
    2019
    Sustainability, Volume 11, Issue 22, pp 1-31
  • 13
    Development of 48-hour Precipitation Forecasting Model using Nonlinear Autoregressive Neural Network
    2019
    CIGOS 2019, Innovation for Sustainable Infrastructure, Lecture Notes in Civil Engineering 54, pp 1191-1196
  • 14
    Development of Hybrid Artificial Intelligence Approaches and a Support Vector Machine Algorithm for Predicting the Marshall Parameters of Stone Matrix Asphalt
    2019
    Applied Sciences 9 (15), 3172
  • 15
    Temperature effects on chloride binding capacity of cementitious materials
    2019
    Magazine of Concrete Research, 1-39
  • 16
    Artificial Intelligence Approaches for Prediction of Compressive Strength of Geopolymer Concrete
    2019
    Materials 12 (6), 983
  • 17
    Prediction of Compressive Strength of Geopolymer Concrete Using Entirely Steel Slag Aggregates: Novel Hybrid Artificial Intelligence Approaches
    2019
    Applied Sciences 9 (6), 1113
  • 18
    Prediction and Sensitivity Analysis of Bubble Dissolution Time in 3D Selective Laser Sintering Using Ensemble Decision Trees
    2019
    Materials 12 (9), 1544
  • 19
    Hybrid Artificial Intelligence Approaches for Predicting Buckling Damage of Steel Columns Under Axial Compression
    2019
    Materials 12 (10), 1670
  • 20
    Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis
    2019
    Science of The Total Environment 679, 172-184
  • 21
    Hybrid Artificial Intelligence Approaches for Predicting Critical Buckling Load of Structural Members under Compression Considering the Influence of Initial Geometric Imperfections
    2019
    Appl. Sci. 2019, 9, 2258
  • 22
    A comparative assessment of flood susceptibility modeling using Multi- Criteria Decision-Making Analysis and Machine Learning Methods
    2019
    Journal of Hydrology 573 (2019) 311–323
  • 23
    On the factors affecting porosity dissolution in selective laser sintering process
    2018
    AIP Conference Proceedings 1960 (1), 120014
  • 24
    Versatile functionalization platform of biporous poly (2-hydroxyethyl methacrylate)-based materials: Application in heterogeneous supported catalysis
    2017
    Reactive and Functional Polymers 121, 91-100
  • 25
    Biporous polymeric materials with controlled pore size and connectivity
    2016
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 252
  • 26
    Biporous Crosslinked Polymers With Controlled Pore Size and Connectivity
    2016
    Macromolecular Symposia 365 (1), 49-58
  • 27
    Functionalized Doubly Porous Networks: From Synthesis to Application in Heterogeneous Catalysis
    2016
    Macromolecular Symposia 365 (1), 40-48
  • 28
    Computation of permeability with Fast Fourier Transform from 3-D digital images of porous microstructures
    2016
    International Journal of Numerical Methods for Heat & Fluid Flow 26 (5)
  • 29
    Tailoring doubly porous poly (2-hydroxyethyl methacrylate)-based materials via thermally induced phase separation
    2016
    Polymer 86, 138-146
  • 30
    Facile fabrication of doubly porous polymeric materials with controlled nano-and macro-porosity
    2015
    Polymer 78, 13-21
  • 31
    Designing and modeling doubly porous polymeric materials
    2015
    The European Physical Journal Special Topics 224 (9), 1689-1706
  • 32
    Functional doubly porous materials based on polymer networks
    2014
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 248
  • 33
    Novel Polymeric Materials with Double Porosity: Synthesis and Characterization
    2014
    Macromolecular Symposia 340 (1), 18-27
  • 34
    Engineering functional doubly porous PHEMA-based materials
    2014
    Polymer 55 (1), 373-379
  • stars 3. Giáo trình, tài liệu đã xuất bản
  • TT
    Tên giáo trình, tài liệu
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    Nơi xuất bản
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  • stars 4. Hướng dẫn sau đại học
  • TT
    Học viên
    Tên luận văn, luận án
    Năm hoàn thành
  • Chưa có thông tin
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