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Keywords by Co - Occurrence

  1. 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)
  2. 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
  3. Albostami Asad, Mohammad Malek, Ismael Bashar, Hamd Rwayda (2025-10)
    Optimized Strength Predictions for 3D Printed Fiber-Reinforced Concrete:
    Machine Learning-Driven Insights
  4. Ye Fan, Ren Xiaodan (2025-10)
    A Eulerian Circuit-Based Reinforcement Learning Path Optimization Method for 3D Concrete Printing
  5. Verma Shilpi, Parghi Anant (2025-10)
    Machine Learning-Based Prediction of Compressive Strength in Additive Manufacturing of Concrete Technology
  6. Abedi Mohammadmadhi, Waris Muhammad, Alawi Mubarak, Jabri Khalifa (2025-10)
    Next-Generation Net-Zero Composite for Underwater 3D Printing Construction:
    Hybrid Machine Learning Optimized LC3 with Recycled Rubber
  7. Rizzieri Giacomo, Lanteri Federico, Ferrara Liberato, Cremonesi Massimiliano (2025-10)
    ShapeGen3DCP:
    A Deep Learning Framework for Layer Shape Prediction in 3D Concrete Printing
  8. Chen Wenguang, Liang Long, Ye Junhong, Liu Lingfei et al. (2025-09)
    Machine Learning-Enabled Performance-Based Design of Three-Dimensional Printed Engineered Cementitious Composites
  9. Syed Sajid, Abid Khasim, Khan Majid (2025-09)
    An Interpretable Machine Learning Approach for Predicting Reinforcement Bond Performance in 3D Concrete Printing
  10. Wang Xiaoqi, Liu Xing, Xu Yanling, Cao Jianfu et al. (2025-08)
    A General Adaptive Layer Height Continuous Path Planning Algorithm for Concrete 3D Printing of Complex Porous Structures Based on Multi-Objective Optimization and Reinforcement Learning
  11. Abedi Mohammadmadhi, Waris Muhammad, Alawi Mubarak, Jabri Khalifa (2025-08)
    Transformative Low-Carbon 3D-Printed Infrastructure:
    Machine Learning-Driven Self-Sensing and Self-Heating Limestone Calcined Clay Cement (LC3) Composites
  12. Abid Khasim, Syed Sajid, Khan Majid (2025-08)
    Explainable Machine Learning-Based Model for Predicting Interlayer Bond Strength in 3D Printed Concrete
  13. Zafar Muhammad, Javadnejad Farid, Hojati Maryam (2025-07)
    Optimizing Rheological Properties of 3D Printed Cementitious Materials via Ensemble Machine Learning
  14. Nandurkar Bhupesh, Raut Jayant, Hinge Pawan, Bahoria Boskey et al. (2025-06)
    Multi-Scale Deep Learning Framework for Three Dimensional Printed Self-Sensing Cementitious Composites with Hybrid Nano-Carbon Fillers
  15. Alkhawaldeh Ayah, Alhassan Mohammad, Sawalha Ansam, Betoush Nour et al. (2025-06)
    Integration of 3D Printing and Machine Learning in Sustainable Construction:
    Feasibility and Challenges
  16. Keune Anna, Simšič Živa, Kloft Harald, Dörfler Kathrin (2025-06)
    AMC Edu:
    Lab Design to Learn About Additive Manufacturing in Construction
  17. Khodadadi Nima, Roghani Hossein, Caso Francisco, Kenawy El‐Sayed et al. (2025-06)
    Machine Learning Approach for the Flexural Strength of 3D‐Printed Fiber‐reinforced Concrete Based on the Meta‐heuristic Algorithm
  18. Wang Xiaoqi, Zuo Tianyi, Xu Yanling, Liu Xing et al. (2025-06)
    Reinforcement Learning-Based Continuous Path Planning and Automated Concrete 3D Printing of Complex Hollow Components
  19. Alizamir Meysam, Kim Sungwon, Ikram Rana, Ahmed Kaywan et al. (2025-06)
    A Reliable Hybrid Extreme Learning Machine-Metaheuristic Framework for Enhanced Strength Prediction of 3D-Printed Fiber-Reinforced Concrete
  20. Geng Songyuan, Cheng Boyuan, Long Wujian, Luo Qiling et al. (2025-05)
    Co-Driven Physics and Machine Learning for Intelligent Control in High-Precision 3D Concrete Printing
  21. Bettermann Luca, Slepicka Martin, Esser Sebastian, Borrmann André (2025-05)
    Data-Driven Parameter Calibration in Additive Manufacturing for Construction:
    An Introduction to Learning by Printing
  22. Ersoy Seher, Abuqasim Shaima, Kurtay Yıldız Mine, Öztürk İrfan et al. (2025-05)
    Machine Learning Approximation of Water Transport in 3D-Printable Composites via Karsten Tube
  23. Banijamali Kasra, Dempsey Mary, Chen Jianhua, Kazemian Ali (2025-02)
    Machine Learning Approach to Predict the Early-Age Flexural Strength of Sensor-Embedded 3D-Printed Structures
  24. Zhang Yonghong, Cui Suping, Yang Bohao, Wang Xinxin et al. (2025-01)
    Research on 3D Printing Concrete Mechanical Properties-Prediction-Model Based on Machine-Learning
  25. Rasel Risul, Hossain Md, Zubayer Md, Zhang Chaoqun (2024-11)
    Exploring the Fresh and Rheology Properties of 3D Printed Concrete with Fiber-Reinforced Composites:
    A Novel Approach Using Machine Learning Techniques
  26. Arif Muhammad, Jan Faizullah, Rezzoug Aïssa, Afridi Muhammad et al. (2024-11)
    Data-Driven Models for Predicting Compressive Strength of 3D Printed Fiber-Reinforced Concrete Using Interpretable Machine Learning Algorithms
  27. Hoang Pham, Moon Hyosoo, Ahn Yonghan (2024-10)
    Optimizing 3D Printed Concrete Mixtures for Extraterrestrial Habitats:
    A Machine Learning Framework
  28. Ma Xin-Rui, Wang Xian-Lin, Chen Shi-Zi (2024-09)
    Trustworthy Machine Learning-Enhanced 3D Concrete Printing:
    Predicting Bond Strength and Designing Reinforcement Embedment Length
  29. Zimmermann Stefan, Griego Danielle, Flatt Robert (2024-09)
    Visualizing Defects of Concrete 3D Printed Structures with Augmented Reality Based on Machine Learning-Driven Image-Analysis
  30. Silva João, Wagner Gabriel, Silva Rafael, Morais António et al. (2024-07)
    Real-Time Precision in 3D Concrete Printing:
    Controlling Layer Morphology via Machine Vision and Learning Algorithms
  31. Mütevelli Özkan İffet, Aldemir Alper (2024-07)
    Machine-Learning Networks to Predict the Ultimate Axial Load and Displacement Capacity of 3D Printed Concrete Walls with Different Section Geometries
  32. Heywood Kate, Nicholas Paul (2024-04)
    3D Concrete Printing in a Circular Economy:
    What We Can Learn from a 3DCP Slab Designed for Dissassembly
  33. Uddin Md, Ye Junhong, Haque M., Yu Kequan et al. (2024-04)
    A Novel Compressive Strength Estimation Approach for 3D Printed Fiber-Reinforced Concrete:
    Integrating Machine Learning and Gene Expression Programming
  34. Lai Xin, Gong Chen, He Enpei, Li Yinmian et al. (2024-02)
    Deep Learning for Predicting the Strength of 3D Printable Engineered Cementitious Composites
  35. Zhu Ronghua, Egbe King-James, Salehi Hadi, Shi Zhongtian et al. (2024-01)
    Eco-Friendly 3D Printed Concrete with Fine Aggregate Replacements:
    Fabrication, Characterization and Machine Learning Prediction
  36. Alyami Mana, Khan Majid, Fawad Muhammad, Nawahz R. et al. (2023-11)
    Predictive Modeling for Compressive Strength of 3D Printed Fiber-Reinforced Concrete Using Machine Learning Algorithms
  37. 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
  38. Nguyen Ho, Thach Nguyen, Le Quang, Anh Yonghan (2023-07)
    A Review of Current Progress and Application of Machine Learning on 3D Printed Concrete
  39. Geng Songyuan, Long Wujian, Luo Qiling, Fu Junen et al. (2023-07)
    Intelligent Prediction of Dynamic Yield-Stress in 3D Printing Concrete Based on Machine Learning
  40. Ali Ammar, Riaz Raja, Malik Umair, Abbas Syed et al. (2023-06)
    Machine-Learning-Based Predictive-Model for Tensile and Flexural Strength of 3D Printed Concrete
  41. Uddin Md, Ye Junhong, Deng Boyu, Li Lingzhi et al. (2023-04)
    Interpretable Machine Learning for Predicting the Strength of 3D Printed Fiber-Reinforced Concrete
  42. Uddin Md, Mahamoudou Faharidine, Deng Boyu, Elobaid Musa Moneef et al. (2023-03)
    Prediction of Rheological Parameters of 3D Printed Polypropylene-Fiber-Reinforced Concrete by Machine Learning
  43. Geng Songyuan, Luo Qiling, Liu Kun, Li Yunchao et al. (2023-02)
    Research Status and Prospect of Machine Learning in Construction 3D Printing
  44. Parisi Fabio, Sangiorgio Valentino, Parisi Nicola, Mangini Agostino et al. (2023-01)
    A New Concept for Large Additive Manufacturing in Construction:
    Tower-Crane-Based 3D Printing Controlled by Deep-Reinforcement-Learning
  45. Cicione Antonio, Kruger Jacques, Mostert Jean-Pierre, Walls Richard et al. (2022-09)
    The Effect of Wind on 3D Printed Concrete Inter-Layer Bond Strength Based on Machine Learning Algorithms
  46. Izadgoshasb Hamed, Kandiri Amirreza, Shakor Pshtiwan, Laghi Vittoria et al. (2021-11)
    Predicting Compressive Strength of 3D Printed Mortar in Structural Members Using Machine Learning
  47. Duarte Gonçalo, Brown Nathan, Memari Ali, Duarte José (2021-07)
    Learning from Historical Structures under Compression for Concrete 3D Printing Construction
  48. Davtalab Omid, Kazemian Ali, Yuan Xiao, Khoshnevis Behrokh (2020-10)
    Automated Inspection in Robotic Additive Manufacturing Using Deep Learning for Layer Deformation Detection
  49. Nicholas Paul, Rossi Gabriella, Williams Ella, Bennett Michael et al. (2020-08)
    Integrating Real-Time Multi-Resolution Scanning and Machine Learning for Conformal Robotic 3D Printing in Architecture
  50. Lao Wenxin, Li Mingyang, Wong Teck, Tan Ming et al. (2020-02)
    Improving Surface-Finish-Quality in Extrusion-Based 3D Concrete Printing Using Machine-Learning-Based Extrudate-Geometry-Control
  51. Celorrio-Barragué Luis, Calvo-Simón Sergio, Gaspar Marcelo, Vidal-Cortés Mariano et al. (2019-10)
    3D Printed Models-Based Lab Activities to Enhance Learning-Teaching Processes in Structural Engineering Courses