Automatic identification of Dong Son antique glass artifacts using evolving learning
Regarding the Dong Son culture, given the diverse range of artifacts discovered, we propose the utilization of an artificial intelligence system for the automated and comprehensive identification of Dong Son glass jewelry through SEM gemological analysis. This approach, which has gained prominence...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Can Tho University Publisher
2023-10-01
|
| Series: | CTU Journal of Innovation and Sustainable Development |
| Subjects: | |
| Online Access: | http://web2010.thanhtoan/index.php/ctujs/article/view/677 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849694828314492928 |
|---|---|
| author | Anh-Khoi Ngo-Ho Hoang-Bac Bui Van-Trieu Pham |
| author_facet | Anh-Khoi Ngo-Ho Hoang-Bac Bui Van-Trieu Pham |
| author_sort | Anh-Khoi Ngo-Ho |
| collection | DOAJ |
| description |
Regarding the Dong Son culture, given the diverse range of artifacts discovered, we propose the utilization of an artificial intelligence system for the automated and comprehensive identification of Dong Son glass jewelry through SEM gemological analysis. This approach, which has gained prominence in the field of archaeology worldwide over the past five years, aims to integrate advanced technology into Vietnamese archaeology. Our research is motivated by the unique conditions present in archaeology, where we seek to employ evolving learning algorithms to archaeological databases, comparing and selecting the most suitable model that aligns with the archeological dataset's performance. We have developed the Recognition Automatic System for Dong Son Antique Glasses (RAS-DSA), capable of accurately distinguishing between Dong Son and non-Dong Son glass ornaments, and is freely distributed to experts and archaeologists. This collaborative research involves Nam Can Tho University, Hanoi University of Mining and Geology, the Vietnamese Institute of Archaeology, and the UNESCO Center for Research and Conservation of Vietnamese Antiquities.
|
| format | Article |
| id | doaj-art-0b0d1da580cd4492a201fb124d3355ed |
| institution | DOAJ |
| issn | 2588-1418 2815-6412 |
| language | English |
| publishDate | 2023-10-01 |
| publisher | Can Tho University Publisher |
| record_format | Article |
| series | CTU Journal of Innovation and Sustainable Development |
| spelling | doaj-art-0b0d1da580cd4492a201fb124d3355ed2025-08-20T03:19:57ZengCan Tho University PublisherCTU Journal of Innovation and Sustainable Development2588-14182815-64122023-10-0115Special issue: ISDSAutomatic identification of Dong Son antique glass artifacts using evolving learningAnh-Khoi Ngo-Ho0Hoang-Bac Bui1Van-Trieu Pham2a:1:{s:5:"en_US";s:22:"Nam Can Tho University";}Hanoi University of Mining and Geology, Vietnam Vietnamese Institute of Archaeology Regarding the Dong Son culture, given the diverse range of artifacts discovered, we propose the utilization of an artificial intelligence system for the automated and comprehensive identification of Dong Son glass jewelry through SEM gemological analysis. This approach, which has gained prominence in the field of archaeology worldwide over the past five years, aims to integrate advanced technology into Vietnamese archaeology. Our research is motivated by the unique conditions present in archaeology, where we seek to employ evolving learning algorithms to archaeological databases, comparing and selecting the most suitable model that aligns with the archeological dataset's performance. We have developed the Recognition Automatic System for Dong Son Antique Glasses (RAS-DSA), capable of accurately distinguishing between Dong Son and non-Dong Son glass ornaments, and is freely distributed to experts and archaeologists. This collaborative research involves Nam Can Tho University, Hanoi University of Mining and Geology, the Vietnamese Institute of Archaeology, and the UNESCO Center for Research and Conservation of Vietnamese Antiquities. http://web2010.thanhtoan/index.php/ctujs/article/view/677Antique glass jewelry classification, Dong Son glass identification, automatic classification of antique glass, machine learning in archeology, Vietnamese glass classification. |
| spellingShingle | Anh-Khoi Ngo-Ho Hoang-Bac Bui Van-Trieu Pham Automatic identification of Dong Son antique glass artifacts using evolving learning CTU Journal of Innovation and Sustainable Development Antique glass jewelry classification, Dong Son glass identification, automatic classification of antique glass, machine learning in archeology, Vietnamese glass classification. |
| title | Automatic identification of Dong Son antique glass artifacts using evolving learning |
| title_full | Automatic identification of Dong Son antique glass artifacts using evolving learning |
| title_fullStr | Automatic identification of Dong Son antique glass artifacts using evolving learning |
| title_full_unstemmed | Automatic identification of Dong Son antique glass artifacts using evolving learning |
| title_short | Automatic identification of Dong Son antique glass artifacts using evolving learning |
| title_sort | automatic identification of dong son antique glass artifacts using evolving learning |
| topic | Antique glass jewelry classification, Dong Son glass identification, automatic classification of antique glass, machine learning in archeology, Vietnamese glass classification. |
| url | http://web2010.thanhtoan/index.php/ctujs/article/view/677 |
| work_keys_str_mv | AT anhkhoingoho automaticidentificationofdongsonantiqueglassartifactsusingevolvinglearning AT hoangbacbui automaticidentificationofdongsonantiqueglassartifactsusingevolvinglearning AT vantrieupham automaticidentificationofdongsonantiqueglassartifactsusingevolvinglearning |