Browsing Electronic & Electrical Eng (Scholarly Publications) by Subject "ARTIFICIAL NEURAL NETWORKS"
Now showing items 1-2 of 2
-
IMEC: A Memory-Efficient Convolution Algorithm For Quantised Neural Network Accelerators
(IEEE, 2022)Quantised convolution neural networks (QCNNs) on FPGAs have shown tremendous potential for deploying deep learning on resource constrained devices closer to the data source or in embedded applications. An essential building ... -
A Lightweight FPGA-based IDS-ECU Architecture for Automotive CAN
(IEEE, 2022)Recent years have seen an exponential rise in complex software-driven functionality in vehicles, leading to a rising number of electronic control units (ECUs), network capabilities, and interfaces. These expanded ...