Browsing Microelectronics by Subject "Aprendizado de máquina"
Now showing items 1-2 of 2
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Automated design space exploration of approximate VLSI architectures for low-power tree-based learning models
(2023) [Thesis]The evolution in CMOS technology has led to an increased computational capacity of electronic devices, enabling complex applications to be processed in embedded platforms. An example of this is the growth of machine learning ... -
Early soft error reliability assessment of convolutional neural networks executing on resource-constrained IoT edge devices
(2022) [Thesis]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 ...