The 15th International Conference on Wireless Communications and Mobile Computing Machine learning Workshop, Tangier, Marokko

Abbrevation

IWCMC

Link

http://iwcmc.org/2019/

City

Tangier

Country

Morocco

Deadline Paper

2019-01-10

Start Date

2019-06-24

End Date

2019-06-28

Abstract

The future network world will be embedded with many networks architectures such as wireless sensor networks (WSN), Internet of things (IoT), Cloud networks (CN), Fetmocellus networks (FN), Vehicular networks (VN), and others. As innovative services and applications arise in these networks architectures, network management service approaches will need to support scalability and robustness in a more proactive and intelligent fashion. In recent years, Machine learning techniques provide powerful tools in various domains, such as computer vision, natural language processing, speech recognition, computational biology, and others. Motivated by these successes, researchers all over the world have recently started to investigate applications of this tool to deal with problems ranging from radio access technology (RAT) selection, to low–latency communication, to low energy consumption in WSN, to manage a massive number of Internet of Things (IoT) devices in real–time as well as the development of networked systems that support machine learning practices. The objective of this Workshop is to bring together researchers to discuss recent developments related to all aspects of machine learning applied to communication and networking systems. ==========Topics========== Authors are invited to submit previously unpublished papers to this Workshop. Topics include, but are not limited to: – Machine learning for next–generation wireless networks – Machine learning for next–generation cognitive networks – Machine learning for communication and network resource optimization – Machine learning for communication and network operation and control – Machine learning applied to WSN Applications – Machine learning applied WSN Data Management – Machine learning applied to WSN Data processing – Machine learning applied to IoT Applications – Machine learning applied IoT Data Management – Machine learning applied to IoT Data processing – Machine learning applied to Vehicular network applications – Performance analysis of machine learning algorithms in next generation networks <div> </div>