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Model-to-Circuit Cross-Approximation For Printed Machine Learning Classifiers

Research article (IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023) · cited 11× · AI/ML
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Model-to-Circuit Cross-Approximation For Printed Machine Learning Classifiers

Summary

Model-to-Circuit Cross-Approximation For Printed Machine Learning Classifiers is a scholarly article[1].

Key Facts

  • Model-to-Circuit Cross-Approximation For Printed Machine Learning Classifiers's instance of is recorded as scholarly article[2].

Related Entities

Jörg Henkel

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Model-to-Circuit Cross-Approximation For Printed Machine Learning Classifiers. Retrieved May 24, 2026, from https://4ort.xyz/entity/model-to-circuit-cross-approximation-for-printed-machine-learning-classifiers
MLA “Model-to-Circuit Cross-Approximation For Printed Machine Learning Classifiers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/model-to-circuit-cross-approximation-for-printed-machine-learning-classifiers.
BibTeX @misc{4ortxyz_model-to-circuit-cross-approximation-for-printed-machine-learning-classifiers_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Model-to-Circuit Cross-Approximation For Printed Machine Learning Classifiers}}, year = {2026}, url = {https://4ort.xyz/entity/model-to-circuit-cross-approximation-for-printed-machine-learning-classifiers}, note = {Accessed: 2026-05-24}}
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