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AppCiP: Energy-Efficient Approximate Convolution-in-Pixel Scheme for Neural Network Acceleration

Research article (IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2023) · cited 29× · AI/ML
academia openalex:W4319069044
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AppCiP: Energy-Efficient Approximate Convolution-in-Pixel Scheme for Neural Network Acceleration

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AppCiP: Energy-Efficient Approximate Convolution-in-Pixel Scheme for Neural Network Acceleration is a scholarly article[1].

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  • AppCiP: Energy-Efficient Approximate Convolution-in-Pixel Scheme for Neural Network Acceleration'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). AppCiP: Energy-Efficient Approximate Convolution-in-Pixel Scheme for Neural Network Acceleration. Retrieved May 24, 2026, from https://4ort.xyz/entity/appcip-energy-efficient-approximate-convolution-in-pixel-scheme-for-neural-network-acceleration
MLA “AppCiP: Energy-Efficient Approximate Convolution-in-Pixel Scheme for Neural Network Acceleration.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/appcip-energy-efficient-approximate-convolution-in-pixel-scheme-for-neural-network-acceleration.
BibTeX @misc{4ortxyz_appcip-energy-efficient-approximate-convolution-in-pixel-scheme-for-neural-network-acceleration_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AppCiP: Energy-Efficient Approximate Convolution-in-Pixel Scheme for Neural Network Acceleration}}, year = {2026}, url = {https://4ort.xyz/entity/appcip-energy-efficient-approximate-convolution-in-pixel-scheme-for-neural-network-acceleration}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AppCiP: Energy-Efficient Approximate Convolution-in-Pixel Scheme for Neural Network Acceleration — https://4ort.xyz/entity/appcip-energy-efficient-approximate-convolution-in-pixel-scheme-for-neural-network-acceleration (retrieved 2026-05-24)

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