Navegação Microeletrônica por Assunto "Neural networks"
Resultados 1-2 de 2
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Early soft error reliability assessment of convolutional neural networks executing on resource-constrained IoT edge devices
(2022) [Tese]Machine learning (ML) algorithms have provided straightforward solutions to a wide range of applications. The high computational demand of such algorithms limits their adoption in resource-constrained devices, which typically ... -
Energy-efficient recurrent neural network hardware architecture for heart rate estimation based on photoplethysmography
(2020) [Tese]The increasing power density and the pervasive use of compute-intensive and powerhungry applications demand energy-efficient CMOS design. The quest for energy-efficient systems particularly concerns in wearable devices for ...