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    VectorGraphNET: Graph Attention Networks for Accurate Segmentation of Complex Technical Drawings 

    Source: Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 006:;page 04025085-1
    Author(s): Carrara, Andrea; Nousias, Stavros; Borrmann, André
    Publisher: American Society of Civil Engineers
    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 ...
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    Text2BIM: Generating Building Models Using a Large Language Model-Based Multiagent Framework 

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 002:;page 04025142-1
    Author(s): Du, Changyu; Esser, Sebastian; Nousias, Stavros; Borrmann, André
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe conventional BIM authoring process typically requires designers to master complex and tedious modeling commands to materialize their design intentions within BIM authoring tools. This additional cognitive burden ...
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    DSpace software copyright © 2002-2015  DuraSpace
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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