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High-Throughput and Power-Efficient Convolutional Neural Network Using One-Pass Processing Elements

Research article (Journal of Circuits Systems and Computers, 2022) · cited 15× · AI/ML
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High-Throughput and Power-Efficient Convolutional Neural Network Using One-Pass Processing Elements

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High-Throughput and Power-Efficient Convolutional Neural Network Using One-Pass Processing Elements is a scholarly article[1].

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  • High-Throughput and Power-Efficient Convolutional Neural Network Using One-Pass Processing Elements's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). High-Throughput and Power-Efficient Convolutional Neural Network Using One-Pass Processing Elements. Retrieved May 24, 2026, from https://4ort.xyz/entity/high-throughput-and-power-efficient-convolutional-neural-network-using-one-pass-processing-elements
MLA “High-Throughput and Power-Efficient Convolutional Neural Network Using One-Pass Processing Elements.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/high-throughput-and-power-efficient-convolutional-neural-network-using-one-pass-processing-elements.
BibTeX @misc{4ortxyz_high-throughput-and-power-efficient-convolutional-neural-network-using-one-pass-processing-elements_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{High-Throughput and Power-Efficient Convolutional Neural Network Using One-Pass Processing Elements}}, year = {2026}, url = {https://4ort.xyz/entity/high-throughput-and-power-efficient-convolutional-neural-network-using-one-pass-processing-elements}, note = {Accessed: 2026-05-24}}
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