An Energy-Efficient One-Shot Time-Based Neural Network Accelerator Employing Dynamic Threshold Error Correction in 65 nm

Research article (IEEE Journal of Solid-State Circuits, 2019) · cited 36× · AI/ML
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An Energy-Efficient One-Shot Time-Based Neural Network Accelerator Employing Dynamic Threshold Error Correction in 65 nm

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An Energy-Efficient One-Shot Time-Based Neural Network Accelerator Employing Dynamic Threshold Error Correction in 65 nm is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An Energy-Efficient One-Shot Time-Based Neural Network Accelerator Employing Dynamic Threshold Error Correction in 65 nm. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-energy-efficient-one-shot-time-based-neural-network-accelerator-employing-dynamic-threshold-error-correction-in-65-nm
MLA “An Energy-Efficient One-Shot Time-Based Neural Network Accelerator Employing Dynamic Threshold Error Correction in 65 nm.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-energy-efficient-one-shot-time-based-neural-network-accelerator-employing-dynamic-threshold-error-correction-in-65-nm.
BibTeX @misc{4ortxyz_an-energy-efficient-one-shot-time-based-neural-network-accelerator-employing-dynamic-threshold-error-correction-in-65-nm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Energy-Efficient One-Shot Time-Based Neural Network Accelerator Employing Dynamic Threshold Error Correction in 65 nm}}, year = {2026}, url = {https://4ort.xyz/entity/an-energy-efficient-one-shot-time-based-neural-network-accelerator-employing-dynamic-threshold-error-correction-in-65-nm}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Energy-Efficient One-Shot Time-Based Neural Network Accelerator Employing Dynamic Threshold Error Correction in 65 nm — https://4ort.xyz/entity/an-energy-efficient-one-shot-time-based-neural-network-accelerator-employing-dynamic-threshold-error-correction-in-65-nm (retrieved 2026-05-24)

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