| contributor author | Carrara, Andrea | |
| contributor author | Nousias, Stavros | |
| contributor author | Borrmann, André | |
| date accessioned | 2026-08-20T21:24:09Z | |
| date available | 2026-08-20T21:24:09Z | |
| date copyright | 2025/07/25 | |
| date issued | 2025 | |
| identifier other | JCCEE5.CPENG-6508.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314393 | |
| description abstract | AbstractThis study introduces a new approach to extracting vector data from technical drawings
in Portable Document Format (PDF) format and analyzing them semantically by employing
graph attention networks. The proposed method involves converting PDF ...Practical ApplicationsTechnical drawings are essential for communication in the AEC industries; however,
manual analysis is often time-consuming and error prone. This study presents an efficient
method for automating the segmentation and analysis of ... | |
| publisher | American Society of Civil Engineers | |
| title | VectorGraphNET: Graph Attention Networks for Accurate Segmentation of Complex Technical Drawings | |
| type | Journal Article | |
| journal volume | 39 | |
| journal issue | 6 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/JCCEE5.CPENG-6508 | |
| journal fristpage | 04025085-1 | |
| journal lastpage | 04025085-19 | |
| page | 19 | |
| tree | Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 006 | |
| contenttype | Fulltext | |
