Pattern Recognition Method for Detecting Engineering Errors on Technical Drawings-Reference-Cited by-同舟云学术

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Pattern Recognition Method for Detecting Engineering Errors on Technical Drawings

Published:2022-06-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE World AI IoT Congress (AIIoT)
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Author:

Dzhusupova Rimma¹,Banotra Richa²,Bosch Jan³,Olsson Helena Holmstrom⁴

Affiliation:

1. McDermott,Department of Electrical & Instrumentation, Control & Safety Systems,The Hague,The Netherlands

2. McDermott,Department of Instrumentation, Control & Safety Systems,The Hague,The Netherlands

3. Chalmers University of Technology,Department of Computer Science and Engineering,Gothenburg,Sweden

4. Malmö University,Department of Computer Science and Media Technology,Malmö,Sweden

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9817098/9817144/09817294.pdf?arnumber=9817294

Reference24 articles.

1. New trends on digitisation of complex engineering drawings

2. Heuristics-Based Detection to Improve Text/Graphics Segmentation in Complex Engineering Drawings

3. Automatic Digitization of Engineering Diagrams using Intelligent Algorithms

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1. Symbol Detection in Mechanical Engineering Sketches: Experimental Study on Principle Sketches with Synthetic Data Generation and Deep Learning;Applied Sciences;2024-07-12

2. ASDR: Automatic System to Diagnose and Recognize Electrical Drawings;2024 21st International Joint Conference on Computer Science and Software Engineering (JCSSE);2024-06-19

3. A review of deep learning methods for digitisation of complex documents and engineering diagrams;Artificial Intelligence Review;2024-05-09

4. Practical Software Development: Leveraging AI for Precise Cost Estimation in Lump-Sum EPC Projects;2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER);2024-03-12

5. Using Multilinear Regression to Predict Key Engineering Quantities for Estimation in EPC Projects;Day 3 Wed, October 04, 2023;2023-10-02

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