Construct · 1 fields · 1 citations

deep learning crack detection: a standalone construct

One name. One construct. A landmark on the map.

● anchor · a standalone construct Nearest construct by meaning·not indexed

A single standalone construct; nearby constructs are located against it in the Collider. Tap a field for its definition, unit, and measures.

Structural health monitoring

using convolutional neural networks to find cracks in images of concrete and other surfaces automatically instead of by manual inspection.

In structural health monitoring, deep learning crack detection refers to using convolutional neural networks to find cracks in images of concrete and other surfaces automatically instead of by manual inspection. This meaning comes from Cha (2017) in Computer-Aided Civil and Infrastructure Engineering.[1]

Unit
Recovery means
Measured by

Run it through the Collider, or take the citations with you.

See how deep learning crack detection sits against neighbouring constructs in the Collider, or export every reference on this page in one click.

Open in Collider Export BibTeX Report this entry

Nearby constructs

deep learning1 fields · 1 citationsanchor · a standalone construct learning6 fields · 14 citationsjingle · one name, six constructs structural health monitoring1 fields · 1 citationsanchor · a standalone construct

References

Cha, Y., Choi, W., & Büyüköztürk, O. (2017). Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks. Computer-Aided Civil and Infrastructure Engineering, 32(5), 361-378. https://doi.org/10.1111/mice.12263

Cited on this page?

Confirm your construct, or correct us.

If your work is cited behind one of these entries, you know better than we do whether we captured the meaning right. Confirm it, suggest an edit, or dispute it, and your name goes on the entry as an author who has checked it, linked to your ORCID.

Claim your construct