Prediction of the flexural strength and elastic modulus of cementitious materials reinforced with carbon nanotubes: An approach with artificial intelligence Article

Ramezani, Mahyar, Choe, Do-Eun, Rasheed, Abdur. (2025). Prediction of the flexural strength and elastic modulus of cementitious materials reinforced with carbon nanotubes: An approach with artificial intelligence . ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 150 10.1016/j.engappai.2025.110544

cited authors

  • Ramezani, Mahyar; Choe, Do-Eun; Rasheed, Abdur

sustainable development goals

authors

publication date

  • June 15, 2025

published in

keywords

  • Automation & Control Systems
  • BEHAVIOR
  • Carbon nanotube
  • Cementitious composites
  • Computer Science
  • Computer Science, Artificial Intelligence
  • DESIGN
  • DISPERSION
  • Deep neural network
  • ENERGY
  • Elastic modulus
  • Engineering
  • Engineering, Electrical & Electronic
  • Engineering, Multidisciplinary
  • Ensemble-bagging
  • MECHANICAL-PROPERTIES
  • NETWORKS
  • SONICATION
  • Science & Technology
  • Support vector regression
  • TREES
  • Technology

Digital Object Identifier (DOI)

publisher

  • PERGAMON-ELSEVIER SCIENCE LTD

volume

  • 150