Supervised Deep Restricted Boltzmann Machine for Estimation of Concrete

Article Properties
  • DOI (url)
  • Publication Date
    2017/04/01
  • Indian UGC (Journal)
  • Refrences
    31
  • Citations
    183
  • Mohammad Hossein Rafiei
  • Waleed H. Khushefati
  • Ramazan Demirboga
  • Hojjat Adeli
Cite
Rafiei, Mohammad Hossein, et al. “Supervised Deep Restricted Boltzmann Machine for Estimation of Concrete”. ACI Materials Journal, vol. 114, no. 2, 2017, https://doi.org/10.14359/51689560.
Rafiei, M. H., Khushefati, W. H., Demirboga, R., & Adeli, H. (2017). Supervised Deep Restricted Boltzmann Machine for Estimation of Concrete. ACI Materials Journal, 114(2). https://doi.org/10.14359/51689560
Rafiei MH, Khushefati WH, Demirboga R, Adeli H. Supervised Deep Restricted Boltzmann Machine for Estimation of Concrete. ACI Materials Journal. 2017;114(2).
Journal Categories
Science
Chemistry
Technology
Building construction
Architectural engineering
Structural engineering of buildings
Technology
Electrical engineering
Electronics
Nuclear engineering
Materials of engineering and construction
Mechanics of materials
Refrences
Refrences Analysis
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 6 is the most frequently represented among the references in this article. It primarily includes studies from Neurocomputing The chart below illustrates the number of referenced publications per year.
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Citations
Citations Analysis
The first research to cite this article was titled Autonomous Structural Visual Inspection Using Region‐Based Deep Learning for Detecting Multiple Damage Types and was published in 2017. The most recent citation comes from a 2024 study titled Autonomous Structural Visual Inspection Using Region‐Based Deep Learning for Detecting Multiple Damage Types . This article reached its peak citation in 2022 , with 40 citations.It has been cited in 26 different journals, 19% of which are open access. Among related journals, the Computer-Aided Civil and Infrastructure Engineering cited this research the most, with 137 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year