IEEE

Design and Analysis of a Radix-4 Booth Multiplier with Approximate Computing and Sparsity Adaptation for Convolutional Neural Network Acceleration

Abstract: Efficient hardware multipliers are essential in VLSI systems, especially for compute-intensive tasks such as digital signal processing, image processing, and deep learning accelerators.
IEEE

Digital Twin for Power Converters Using Convolutional Neural Network and State Observer

Abstract: Development of electrification across industries impose higher demand on power converter reliability. To enhance reliability, this paper proposes a novel digital twin (DT) framework using ...