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From Schematics to Netlists – Electrical Circuit Analysis Using Deep-Learning Methods
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| Published in: | Advances in Radio Science (ARS) |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2024
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| Subjects: | |
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| _version_ | 1864030188618121222 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Advances in Radio Science (ARS) |
| description | |
| discipline_display | Arts & Humanities |
| discipline_facet | Arts & Humanities |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:22580 |
| institution | FRELIP |
| journal_source_facet | Advances in Radio Science (ARS) |
| publishDate | 2024 |
| publishDateSort | 2024 |
| record_format | rss_article |
| spellingShingle | From Schematics to Netlists – Electrical Circuit Analysis Using Deep-Learning Methods — — — — — Radio and TV Communication & Media Arts & Humanities |
| sub_discipline_display | Communication & Media |
| sub_discipline_facet | Communication & Media |
| subject_display | — — — — — Radio and TV Communication & Media Arts & Humanities — — — — — Radio and TV Communication & Media Arts & Humanities |
| subject_facet | — — — — — Radio and TV Communication & Media Arts & Humanities |
| title | From Schematics to Netlists – Electrical Circuit Analysis Using Deep-Learning Methods |
| title_auth | From Schematics to Netlists – Electrical Circuit Analysis Using Deep-Learning Methods |
| title_full | From Schematics to Netlists – Electrical Circuit Analysis Using Deep-Learning Methods |
| title_fullStr | From Schematics to Netlists – Electrical Circuit Analysis Using Deep-Learning Methods |
| title_full_unstemmed | From Schematics to Netlists – Electrical Circuit Analysis Using Deep-Learning Methods |
| title_short | From Schematics to Netlists – Electrical Circuit Analysis Using Deep-Learning Methods |
| title_sort | from schematics to netlists – electrical circuit analysis using deep-learning methods |
| topic | — — — — — Radio and TV Communication & Media Arts & Humanities |
| url | https://doi.org/10.5194/ars-22-61-2024 |