Advances in Radio Science
Advances in Radio Science
ARS
Articles | Volume 22
Articles | Volume 22
https://doi.org/10.5194/ars-22-61-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/ars-22-61-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22
29 Nov 2024
 | 29 Nov 2024

From Schematics to Netlists – Electrical Circuit Analysis Using Deep-Learning Methods

Dennis Hemker, Jad Maalouly, Harald Mathis, Rainer Klos, and Eranyan Ravanan

Viewed

Total article views: 4,259 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,415 1,793 51 4,259 52 115
  • HTML: 2,415
  • PDF: 1,793
  • XML: 51
  • Total: 4,259
  • BibTeX: 52
  • EndNote: 115
Views and downloads (calculated since 29 Nov 2024)
Cumulative views and downloads (calculated since 29 Nov 2024)

Viewed (geographical distribution)

Total article views: 4,324 (including HTML, PDF, and XML) Thereof 4,324 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 02 May 2026
Download
Short summary
In electronic design development, schematics are used to depict electrical circuits and validate them before manufacturing. As such designs are often handed in as images (bitmaps) only, there is no way to easily process and check them in an automated way.
With the help of deep-learning methods, components, lines and text can be extracted from these bitmaps.
Fusing these detections, the electrical circuit can be reconstructed and serve as an input for further validation routines.
Read more
Share
Special issue
Kleinheubacher Berichte 2023