The 2nd *International Workshop on Machine Learning for Next *
*Generation Systems and Networks (MLNGSN'2020) *
*to be held in conjunction with IEEE ISNCC 2020*
*16-18 June 2020, Montreal, Canada.*
http://www.isncc-conf.org/workshops/mlngsn
Dear Colleagues,
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.
==========Scope==========
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.
==========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Authors are invited to submit previously unpublished papers to this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
==========Submission Link: ============
https://isncc-2020-mlngsnworkshop.edas.info/
==========Technically sponsored by: ==========
IEEE and IEEE ComSoc
===========Important Dates=================
Submission: *February 10, 2020*
Acceptance notification: March 29, 2020
Camera-ready : May 03, 2020
--
*Dr. M.Lahby*
Laboratory of Mathematics and Applications, University Hassan II, Ecole
Normale Supérieure (ENS) Casablanca, Morocco
mlahby@gmail.com
GSM : +212 6 65 29 23 76
In the world of Linux, who needs Windows and Gates
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