IEEE

ASNet: Introducing Approximate Hardware to High-Level Synthesis of Neural Networks

Abstract: Approximate Computing is a design paradigm which makes use of error tolerance inherent to many applications in order to trade off accuracy for performance ...
IEEE

Network Innovation using OpenFlow: A Survey

Abstract: OpenFlow is currently the most commonly deployed Software Defined Networking (SDN) technology. SDN consists of decoupling the control and data planes of a network. A software-based ...
GitHub

Neural Network Libraries - Examples

This repository contains working examples of Neural Network Libraries. Before running any of the examples in this repository, you must install the Python package for Neural Network Libraries. The ...
IEEE

Survey on Network Slicing for Internet of Things Realization in 5G Networks

Abstract: Internet of Things (IoT) is an emerging technology that makes people's lives smart by conquering a plethora of diverse application and service areas. In near future, the fifth-generation (5G ...
IEEE

Network Slicing and Softwarization: A Survey on Principles, Enabling Technologies, and Solutions

Abstract: Network slicing has been identified as the backbone of the rapidly evolving 5G technology. However, as its consolidation and standardization progress, there are no literatures that ...
IEEE

A Survey on OFDM-Based Elastic Core Optical Networking

Abstract: Orthogonal frequency-division multiplexing (OFDM) is a modulation technology that has been widely adopted in many new and emerging broadband wireless and wireline communication systems. Due ...