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Machine learning in physical design

Research article (2016 IEEE 25th Conference on Electrical Performance Of Electronic Packaging And Systems (EPEPS), 2016) · cited 24× · AI/ML
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Machine learning in physical design

Summary

Machine learning in physical design is a scholarly article[1].

Key Facts

  • Machine learning in physical design's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Machine learning in physical design. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-in-physical-design
MLA “Machine learning in physical design.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-in-physical-design.
BibTeX @misc{4ortxyz_machine-learning-in-physical-design_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning in physical design}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-in-physical-design}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning in physical design — https://4ort.xyz/entity/machine-learning-in-physical-design (retrieved 2026-05-24)

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