Skip to content

#machine

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. Banijamali Kasra, Martin Michael, Mascarenas David, Kazemian Ali (2025-11)
    Automated Inspection in Robotic 3D Printing:
    In-Process Geometrical Measurements Using Structured Light Machine Vision
  4. Kiński Wojciech, Siwicki Przemysław, Zieliński Jacek, Smater Michał (2025-10)
    Adaptation of a Large-Scale, Modular Printer-Milling Machine for 3D Printing from Concrete
  5. Albostami Asad, Mohammad Malek, Ismael Bashar, Hamd Rwayda (2025-10)
    Optimized Strength Predictions for 3D Printed Fiber-Reinforced Concrete:
    Machine Learning-Driven Insights
  6. Verma Shilpi, Parghi Anant (2025-10)
    Machine Learning-Based Prediction of Compressive Strength in Additive Manufacturing of Concrete Technology
  7. 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
  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. Liu Shijie, Liu Tong, Alqurashi Muwaffaq, Abdou Elabbasy Ahmed et al. (2025-09)
    Advancing 3D-Printed Fiber-Reinforced Concrete for Sustainable Construction:
    A Comparative Optimization Based Study of Hybrid Machine Intelligence Models for Predicting Mechanical Strength and CO₂ Emissions
  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. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. Kuang Weifeng, Pavlenko Petro, Guo Haoyu, Tian Kuo et al. (2025-03)
    Utilization of Machine-Made Sand Waste in 3D-Printed Ecological Concrete for Artificial Reefs
  20. 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
  21. 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
  22. 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
  23. 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
  24. Hoang Pham, Moon Hyosoo, Ahn Yonghan (2024-10)
    Optimizing 3D Printed Concrete Mixtures for Extraterrestrial Habitats:
    A Machine Learning Framework
  25. Placzek Gerrit, Schwerdtner Patrick (2024-10)
    Comparison of Machine- and Performance Specifications of Concrete 3D Printers
  26. 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
  27. Abstoß Marvin, Funke Henrik, Gelbrich Sandra (2024-09)
    Production of High-Precision Formwork Elements Using Parametrically Programmed Concrete-Extrusion and Machining
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. Nóbrega Thiers, Henriques Gonçalo, Passaro Andres (2023-12)
    3D Printing for Architecture:
    Organic Integration of Algorithm, Machine and Material-Paste-Manufacture
  34. 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
  35. Carbone Carlo, Mohamed Basem (2023-11)
    From Analogue to Digital:
    Evolution of Building Machines Towards Reforming Production and Customization of Housing
  36. Nguyen Ho, Thach Nguyen, Le Quang, Anh Yonghan (2023-07)
    A Review of Current Progress and Application of Machine Learning on 3D Printed Concrete
  37. 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
  38. 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
  39. 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
  40. 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
  41. Geng Songyuan, Luo Qiling, Liu Kun, Li Yunchao et al. (2023-02)
    Research Status and Prospect of Machine Learning in Construction 3D Printing
  42. 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
  43. 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
  44. Muñiz Manuel, Chantin Marjorie, Vintila Cristian, Fabritius Marc et al. (2021-02)
    Concrete Hybrid Manufacturing:
    A Machine Architecture
  45. 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
  46. Liu Zhixin, Li Mingyang, Weng Yiwei, Qian Ye et al. (2020-03)
    Modelling- and Parameter-Optimization for Filament-Deformation in 3D Cementitious Material-Printing Using Support-Vector-Machine
  47. 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
  48. Malaeb Zeina, Sakka Fatima, Hamzeh Farook (2019-02)
    3D Concrete Printing:
    Machine Design, Mix Proportioning, and Mix Comparison Between Different Machine Setups
  49. Cohen Zach (2018-09)
    Hold Up:
    Machine Delay in Architectural Design
  50. Zhang Jing, Khoshnevis Behrokh (2012-09)
    Optimal Machine Operation Planning for Construction by Contour Crafting
  51. Buswell Richard, Thorpe Tony, Soar Rupert, Gibb Alistar (2008-05)
    Design, Data and Process Issues for Mega-Scale Rapid Manufacturing Machines Used for Construction