Network on Chip (NoC) is a new paradigm for designing core based System on Chips. It supports high degree of reusability and is scalable. In this paper, an efficient Two-Step Gene...
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...
—This paper proposes a circuit optimization approach that can ease the computational burden on the simulation-based circuit optimizers by leveraging simple design equations that ...
Analyzing protein sequence data becomes increasingly important recently. Most previous work on this area has mainly focused on building classification models. In this paper, we i...
In this paper we propose a new harmonic balance simulation methodology based on a linear-centric modeling approach. A linear circuit representation of the nonlinear devices and as...