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A hardware-efficient computing engine for FPGA-based deep convolutional neural network accelerator

Research article (Microelectronics Journal, 2022) · cited 18× · AI/ML
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A hardware-efficient computing engine for FPGA-based deep convolutional neural network accelerator

Summary

A hardware-efficient computing engine for FPGA-based deep convolutional neural network accelerator is a scholarly article[1].

Key Facts

  • A hardware-efficient computing engine for FPGA-based deep convolutional neural network accelerator's instance of is recorded as scholarly article[2].

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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). A hardware-efficient computing engine for FPGA-based deep convolutional neural network accelerator. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-hardware-efficient-computing-engine-for-fpga-based-deep-convolutional-neural-network-accelerator
MLA “A hardware-efficient computing engine for FPGA-based deep convolutional neural network accelerator.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-hardware-efficient-computing-engine-for-fpga-based-deep-convolutional-neural-network-accelerator.
BibTeX @misc{4ortxyz_a-hardware-efficient-computing-engine-for-fpga-based-deep-convolutional-neural-network-accelerator_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A hardware-efficient computing engine for FPGA-based deep convolutional neural network accelerator}}, year = {2026}, url = {https://4ort.xyz/entity/a-hardware-efficient-computing-engine-for-fpga-based-deep-convolutional-neural-network-accelerator}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A hardware-efficient computing engine for FPGA-based deep convolutional neural network accelerator — https://4ort.xyz/entity/a-hardware-efficient-computing-engine-for-fpga-based-deep-convolutional-neural-network-accelerator (retrieved 2026-05-24)

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