Machine Learning based Netlisting for Hand-drawn Circuit Schematics with Subcircuits for High-Speed Applications
Recent developments in Artificial Intelligence (AI) and Machine Learning (ML) have shown significant potential for design and automation of electronic circuits. This paper presents the digitization of hand-drawn circuit schematic images consisting subcircuits using ML algorithms with emphasis on applications in high-speed circuit design environments.
Authors
- Ramachandra Achar (ORCID: https://orcid.org/0000-0002-2822-3674)
- Anuj Mathur
Institutions
- Carleton University (CA)
Publication Details
- Published
- 2024-12-17
- DOI
- https://doi.org/10.1109/edaps64431.2024.10988466
- Primary Topic
- VLSI and FPGA Design Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00