MLNGSN 2020 : The 2nd International Workshop on Machine Learning for Next Generation Systems and Networks
Call For Papers
We are pleased to invite you to submit Full Papers to the second International Workshop on Machine Learning for Next Generation Systems and Networks Workshop co-located with IEEE ISNCC 2020, will be held on June 16-18, 2019 Montreal, Canada.
The future network world will be embedded with many network 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 network architectures, network management service approaches will need to support scalability and robustness in a more proactive and intelligent fashion.
In recent years, Machine learning (ML) techniques have shown promise to be powerful tools in various domains, such as computer vision, natural language processing (NLP), speech recognition, computational biology, and others. Motivated by these successes, researchers all over the world have recently started to investigate applications of this technology 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 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.
Authors are invited to submit previously unpublished papers to this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
==========Submission Link: ============
==========Technically sponsored by: ==========
IEEE and IEEE ComSoc
Submission: February 10, 2020
Acceptance notification: March 29, 2020
Camera-ready paper submissions: May 03, 2020