Reconstruction of concrete morphology using deep learning
In this contribution, the concrete morphology is reconstructed with a simple algorithm selecting a pixel value based on the small set of surrounding pixels. A deep neural network (DNN) is used as a classifier, and the authors focus on studying different DNN architectures. The performance of the pro...
Saved in:
| Main Authors: | Ondřej Šperl, Jan Sýkora |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Czech Technical University in Prague
2024-11-01
|
| Series: | Acta Polytechnica CTU Proceedings |
| Subjects: | |
| Online Access: | https://ojs.cvut.cz/ojs/index.php/APP/article/view/10214 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
deepBBQ: A Deep Learning Approach to the Protein Backbone Reconstruction
by: Justyna D. Kryś, et al.
Published: (2024-11-01) -
CrackVision: Effective Concrete Crack Detection With Deep Learning and Transfer Learning
by: Abdulrahman A. Alkannad, et al.
Published: (2025-01-01) -
Detecting Phishing URLs Based on a Deep Learning Approach to Prevent Cyber-Attacks
by: Qazi Emad ul Haq, et al.
Published: (2024-11-01) -
Skin Disease Classification Using Deep Learning Techniques
by: Ramani Gaddam, et al.
Published: (2025-01-01) -
Algorithm for pixel-level concrete pavement crack segmentation based on an improved U-Net model
by: Zixuan Zhang, et al.
Published: (2025-02-01)