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Aerial crack detection in building structures using convolutional neural networks Cover

Aerial crack detection in building structures using convolutional neural networks

Journal of the National Science Foundation of Sri Lanka
Volume 53 (2025): Issue 3
By: ,  ,   and    
Open Access
|Oct 2025
Authors

Authors

C.S. Silva

chathurika@iat.cmb.ac.lk

University of Colombo, Sri Lanka

D.M.K.I. Dissanayake

kalindu.iranga98@gmail.com

University of Colombo, Sri Lanka

R.S.M.P.W. Rathnayake

prabodhawishwanayana@gmail.com

University of Colombo, Sri Lanka

N.T.A. Sathsara

anuja.sathsara@gmail.com

University of Colombo, Sri Lanka.
DOI: https://doi.org/10.4038/jnsfsr.v53i3.12365 | Journal eISSN: 2362-0161
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Language: English
Page range: 273 - 282
Published on: Oct 10, 2025
Published by: National Science Foundation of Sri Lanka
In partnership with: Paradigm Publishing Services
Keywords:
Convolutional neural network,
crack detection and identification,
deep learning,
sonar sensors,
unmanned aerial vehicle,
vision sensors

© 2025 C.S. Silva, D.M.K.I. Dissanayake, R.S.M.P.W. Rathnayake, N.T.A. Sathsara, published by National Science Foundation of Sri Lanka
This work is licensed under the Creative Commons Attribution-NoDerivatives 4.0 License.

Volume 53 (2025): Issue 3
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