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#explainability

Keywords by Co - Occurrence

  1. Katlav Metin, Turk Kazim (2026-03)
    Explainable Hybrid Machine Learning Approach for Mechanical Performance of 3D-Printed Strain-Hardening Cementitious Composites (3DP-SHCC)
  2. Iqbal Imtiaz, Kasim Tala, Besklubova Svetlana, Mustafa Ali et al. (2025-12)
    Passive Determination of Anisotropic Compressive Strength of 3D Printed Concrete Using Multiple Neural Networks Enhanced with Explainable Machine Learning (XML)
  3. Iqbal Imtiaz, Inqiad Waleed, Kasim Tala, Besklubova Svetlana et al. (2025-12)
    Strength Characterisation of Fly Ash Blended 3D Printed Concrete Enhanced with Explainable Machine Learning
  4. Abbas Yassir, Alsaif Abdulaziz (2025-11)
    Explainable Data-Driven Modeling for Optimized Mix Design of 3D-Printed Concrete:
    Interpreting Nonlinear Synergies Among Binder Components and Proportions
  5. Chen Baixi, Yang Lei, Jiang Sheng (2025-09)
    Stochastic Analysis of 3D Concrete Printing Process with Curvature and Inclination by Explainable Data-Driven Modelling
  6. Abid Khasim, Syed Sajid, Khan Majid (2025-08)
    Explainable Machine Learning-Based Model for Predicting Interlayer Bond Strength in 3D Printed Concrete
  7. Chen Baixi, Qian Xiaoping (2025-07)
    Explainable Data-Driven Analysis of Uncertainty Propagation in 3D Concrete Printing via Adaptive Polynomial Chaos Expansion
  8. Wang Xianlin, Banthia Nemkumar, Yoo Doo-Yeol (2023-11)
    Reinforcement Bond Performance in 3D Concrete Printing:
    Explainable Ensemble Learning Augmented by Deep Generative Adversarial Networks
  9. Ghasemi Alireza, Naser Mohannad (2023-07)
    Tailoring 3D Printed Concrete Through Explainable Artificial Intelligence