| dc.contributor.author |
Yang X. |
|
| dc.contributor.other |
Srinakharinwirot University |
|
| dc.date.accessioned |
2023-11-15T02:08:24Z |
|
| dc.date.available |
2023-11-15T02:08:24Z |
|
| dc.date.issued |
2023 |
|
| dc.identifier.uri |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85154571911&doi=10.1155%2f2023%2f8215434&partnerID=40&md5=11052bd9fa0c237cff234f6b97f28020 |
|
| dc.identifier.uri |
https://ir.swu.ac.th/jspui/handle/123456789/29368 |
|
| dc.description.abstract |
In order to improve the quality of multimedia teaching in higher education, this article analyzes the problems existing in multimedia education in higher education, improves the multimedia teaching system, and proposes a three-dimensional multimedia image surface extraction method based on crease. Moreover, this article uses the level set method to segment the Gaussian smoothed multimedia data to obtain the preliminarily divided target fault area and then extracts the fault surface as the feature of the target area. The analysis demonstrates that the multimedia teaching system of higher education based on the artificial intelligence model can effectively enhance the multimedia teaching mode and promote its further development. © 2023 Xiaoyu Yang. |
|
| dc.publisher |
Hindawi Limited |
|
| dc.title |
Higher Education Multimedia Teaching System Based on the Artificial Intelligence Model and Its Improvement |
|
| dc.type |
Article |
|
| dc.rights.holder |
Scopus |
|
| dc.identifier.bibliograpycitation |
Mobile Information Systems. Vol 2023, No. (2023) |
|
| dc.identifier.doi |
10.1155/2023/8215434 |
|