Open Access iconOpen Access

ARTICLE

crossmark

Predicting Concrete Compressive Strength Using Deep Convolutional Neural Network Based on Image Characteristics

Sanghyo Lee1, Yonghan Ahn2, Ha Young Kim3, *

1 Division of Architecture and Civil Engineering, Kangwon National University, Samcheok-si, 25913, Korea.
2 School of Architecture and Architectural Engineering, Hanyang University ERICA, Ansan-si, 15588, Korea.
3 Graduate School of Information, Yonsei University, Seoul, 03722, Korea.

* Corresponding Author: Ha Young Kim. Email: email.

TSP_CMC_11104.pdf

  • 3582

    View

  • 2495

    Download

  • 0

    Like

Share Link