Marble Surface Anomaly Detection Using Autoencoder Architecture
Marble is a material that is commonly used for building components such as furniture, flooring, countertops, bathrooms, windows in homes etc. Due to the many uses of marble in various aspects, marble surface detection is important for this industry to improve quality and avoid financial problems tha...
Saved in:
| Main Authors: | Yahya Abdullah, Cemil Öz |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Departement of Electrical Engineering, Faculty of Engineering, Universitas Brawijaya
2024-05-01
|
| Series: | Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) |
| Subjects: | |
| Online Access: | https://jurnaleeccis.ub.ac.id/index.php/eeccis/article/view/1685 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Self-Supervised Autoencoders for Visual Anomaly Detection
by: Alexander Bauer, et al.
Published: (2024-12-01) -
Deep Autoencoders for Unsupervised Anomaly Detection in Wildfire Prediction
by: İrem Üstek, et al.
Published: (2024-11-01) -
Vibration-Based Anomaly Detection in Industrial Machines: A Comparison of Autoencoders and Latent Spaces
by: Luca Radicioni, et al.
Published: (2025-02-01) -
Enhancing Anomaly Detection Through Latent Space Manipulation in Autoencoders: A Comparative Analysis
by: Tomasz Walczyna, et al.
Published: (2024-12-01) -
Enhancing Weather Monitoring for Agriculture with Deep Learning: Anomaly Detection in East Java Using LSTM Autoencoder and OCSVM
by: Maulana Ahsan Fadillah, et al.
Published: (2025-06-01)