Minimum signed digit approximation for faster and more efficient convolutional neural network computation on embedded devices

Research article (Engineering Science and Technology an International Journal, 2022) · cited 10× · AI/ML
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Minimum signed digit approximation for faster and more efficient convolutional neural network computation on embedded devices

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Minimum signed digit approximation for faster and more efficient convolutional neural network computation on embedded devices is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Minimum signed digit approximation for faster and more efficient convolutional neural network computation on embedded devices. Retrieved May 24, 2026, from https://4ort.xyz/entity/minimum-signed-digit-approximation-for-faster-and-more-efficient-convolutional-neural-network-computation-on-embedded-de
MLA “Minimum signed digit approximation for faster and more efficient convolutional neural network computation on embedded devices.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/minimum-signed-digit-approximation-for-faster-and-more-efficient-convolutional-neural-network-computation-on-embedded-de.
BibTeX @misc{4ortxyz_minimum-signed-digit-approximation-for-faster-and-more-efficient-convolutional-neural-network-computation-on-embedded-de_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Minimum signed digit approximation for faster and more efficient convolutional neural network computation on embedded devices}}, year = {2026}, url = {https://4ort.xyz/entity/minimum-signed-digit-approximation-for-faster-and-more-efficient-convolutional-neural-network-computation-on-embedded-de}, note = {Accessed: 2026-05-24}}
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