Version 1
: Received: 17 October 2024 / Approved: 17 October 2024 / Online: 18 October 2024 (16:36:58 CEST)
How to cite:
Hassani, V.; Ibrahim, Z. Depth of Defect Detection in Immersive Environments through Ultrasonic Sensor Data Analysis and Recommender System. Preprints2024, 2024101424. https://doi.org/10.20944/preprints202410.1424.v1
Hassani, V.; Ibrahim, Z. Depth of Defect Detection in Immersive Environments through Ultrasonic Sensor Data Analysis and Recommender System. Preprints 2024, 2024101424. https://doi.org/10.20944/preprints202410.1424.v1
Hassani, V.; Ibrahim, Z. Depth of Defect Detection in Immersive Environments through Ultrasonic Sensor Data Analysis and Recommender System. Preprints2024, 2024101424. https://doi.org/10.20944/preprints202410.1424.v1
APA Style
Hassani, V., & Ibrahim, Z. (2024). Depth of Defect Detection in Immersive Environments through Ultrasonic Sensor Data Analysis and Recommender System. Preprints. https://doi.org/10.20944/preprints202410.1424.v1
Chicago/Turabian Style
Hassani, V. and Zunaidi Ibrahim. 2024 "Depth of Defect Detection in Immersive Environments through Ultrasonic Sensor Data Analysis and Recommender System" Preprints. https://doi.org/10.20944/preprints202410.1424.v1
Abstract
The study investigates using a recommender system to improve the accuracy of depth of defect (DoD) estimation in immersive steel samples. The proposed method can enhance prediction performance and be applied across various industries like water, oil, and gas. The recommender system is trained on experimental data from an immersive wedge sample and then evaluated on test data from a different sample to demonstrate its potential for precise and non-invasive DoD detection.
Keywords
ultrasonic sensor; depth of defect (DoD); data cleaning process; recommender system
Subject
Engineering, Mechanical Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
