| Research Title |
The adoption of machine learning algorithm for rust classification in steel structure. |
| Date of Distribution |
12 August 2024 |
| Conference |
| Title of the Conference |
2024 4th International Conference on Information Communication and Software Engineering (ICICSE) |
| Organiser |
Beijing University of Technology, China, and technically sponsored by IEEE Comsoc |
| Conference Place |
Beijing University of Technology, China |
| Province/State |
Beijing, China |
| Conference Date |
31 October 2024 |
| To |
31 October 2024 |
| Proceeding Paper |
| Volume |
2024 |
| Issue |
1 |
| Page |
pp. 70-74. |
| Editors/edition/publisher |
|
| Abstract |
Corrosion is significant factor for steel structure. Many
steel structure, rust is the most common corrosion. In order to classify rust to the standard, such as ASTM, a visual inspection has been used. However, this method may include some bias. This study was set to determine whether machine learning might be used to classify rust with ASTM standard. 1155 images were prepared for model development. A convolutional neural network
(CNN) was used in order to develop the model. 80 percent of the data were used to train the model and 20 percent were used for model verification. Finally, the model has an accuracy 79.48 percent. |
| Author |
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| Peer Review Status |
มีผู้ประเมินอิสระ |
| Level of Conference |
นานาชาติ |
| Type of Proceeding |
Full paper |
| Type of Presentation |
Oral |
| Part of thesis |
true |
| ใช้สำหรับสำเร็จการศึกษา |
ไม่เป็น |
| Presentation awarding |
false |
| Attach file |
|
| Citation |
0
|
|
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Publication
Journal Publication
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