Abstract--This paper surveys and unifies a number of recent contributions that have collectively developed a metric for decentralized wireless network analysis known as transmissio...
This paper provides a comprehensive framework for the state space approach to Boolean networks. First, it surveys the authors' recent work on the topic: Using semitensor produ...
Recently, there has been strong interest in large-scale simulations of biological spiking neural networks (SNN) to model the human brain mechanisms and capture its inference capabi...
Mohammad A. Bhuiyan, Vivek K. Pallipuram, Melissa ...
Most of recent research on distributed shared memory (DSM)systems have focused on either careful design of node controllersor cache coherenceprotocols. Whileevaluating these desig...
Learning long-term temporal dependencies with recurrent neural networks can be a difficult problem. It has recently been shown that a class of recurrent neural networks called NA...