Skip to content
Publish & Distribute
Publishing Solutions
Distribution Solutions
Library Services
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Journal Matcher
Blog
Contact
Search
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Journal of Applied Engineering Sciences
Volume 15 (2025): Issue 1 (May 2025)
Open Access
Semi-Automatic Recognition of Objects from CAD Drawings for Quantity Surveying
T. Hassan
T. Hassan
Department of Civil Engineering, Assiut University
Egypt
Search for this author on
Sciendo
|
Google Scholar
Hassan, T.
,
F. Farrag
F. Farrag
Department of Civil Engineering, Assiut University
Egypt
Search for this author on
Sciendo
|
Google Scholar
Farrag, F.
,
A. ElSonbaty
A. ElSonbaty
Department of Civil Engineering, Assiut University
Egypt
Search for this author on
Sciendo
|
Google Scholar
ElSonbaty, A.
and
M. Besheer
M. Besheer
Department of Civil Engineering, Assiut University
Egypt
Search for this author on
Sciendo
|
Google Scholar
Besheer, M.
May 19, 2025
Journal of Applied Engineering Sciences
Volume 15 (2025): Issue 1 (May 2025)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Download Cover
Published Online:
May 19, 2025
Page range:
113 - 122
Received:
Jan 22, 2025
Accepted:
Feb 03, 2025
DOI:
https://doi.org/10.2478/jaes-2025-0014
Keywords
CAD Drawings
,
Supervised classification
,
CAD Objects Recognition
,
Quantity Survey
© 2025 T. Hassan et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
