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 ...
IEEE

GRAB-Net: Graph-Based Boundary-Aware Network for Medical Point Cloud Segmentation

Abstract: Point cloud segmentation is fundamental in many medical applications, such as aneurysm clipping and orthodontic planning. Recent methods mainly focus on designing powerful local feature ...
IEEE

A Survey of 5G Network: Architecture and Emerging Technologies

Abstract: In the near future, i.e., beyond 4G, some of the prime objectives or demands that need to be addressed are increased capacity, improved data rate, decreased latency, and better quality of ...
IEEE

PAPNet: Point-enhanced Attention-aware Pillar Network for 3D Object Detection in Autonomous Driving

Abstract: The conversion of raw point clouds into pillar representations has been widely adopted for 3D object detection. Such conversion allows a point cloud to be discretized into structured grids, ...
IEEE

Network Anomaly Detection: Methods, Systems and Tools

Abstract: Network anomaly detection is an important and dynamic research area. Many network intrusion detection methods and systems (NIDS) have been proposed in the literature. In this paper, we ...
IEEE

A Survey on Network Slicing Security: Attacks, Challenges, Solutions and Research Directions

Abstract: The dawn of softwarized networks enables Network Slicing (NS) as an important technology towards allocating end-to-end logical networks to facilitate diverse requirements of emerging ...