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Subject:
From:
Ali Idrees <[log in to unmask]>
Reply To:
Ali Idrees <[log in to unmask]>
Date:
Wed, 4 Mar 2020 16:49:34 +0300
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*CALL FOR PAPERS - ICWMC 2020*

*Special track*

*DSIoT: Data Science for the Internet of Things*

*along with*

*ICWMC 2020, The Sixteenth International Conference on Wireless and Mobile
Communications*

*https://www.iaria.org/conferences2020/ICWMC20.html
<https://www.iaria.org/conferences2020/ICWMC20.html>*

*June 28, 2020 to July 02, 2020 - Athens, Greece*



Data Science has driven the business world by storm. Nowadays, improving
business productivity and performance greatly depends on the collection and
analyzing data. Data science can be defined as an interdisciplinary field
including methods to gather, store, analyze, manage and publish data.

In the Internet of Things (IoT), smartphones and household appliances can
simply become sensor devices and constitute sensor networks, measuring
environmental parameters and generating user interaction data. As the
popularity of IoT increases, a surge of data lies in the future. The growth
in data is not only going to require a better infrastructure, but smarter
data science approaches. As sensor networks are principally data-oriented
networks, data science methods have been chosen to enhance the IoT in terms
of data management, throughput, and optimization. Data Science can produce
good solutions to overcome the most IoT challenges.

The Artificial Intelligence (AI) can be exploited and integrated with data
science and this can make the processing of the data easier and
self-learning of the device faster (e.g., via Machine Learning). IoT is one
of the biggest data generators and this is precisely why Data Science will
be needed in IoT. The integration between Data Science and IoT still
represents a research and application challenge.





*Topics include, but not limited to:*

·       Data Management in IoT devices

·       Methods for assessing IoT data quality

·       Wearable IoT data optimization systems

·       IoT Data Analytics

·       Machine Learning for IoT

·       Energy Efficient IoT Systems

·       Data reduction in IoT

·       Data aggregation in IoT

·       Integrating IoT data with external data sources

·       Data Science approaches for Smart Cities

·       Green Networking

Sensor Networking

·       Big data for IoT networking



*Important Datelines*

Submission: May 4

Notification: May 24

Registration: June 3

Camera-ready: June 3



*Contribution Types*

-  Regular papers [in the proceedings, digital library]

-  Short papers (work in progress) [in the proceedings, digital library]

-  Posters: two pages [in the proceedings, digital library]

-  Posters: slide only [slide-deck posted on www.iaria.org
<http://www.iaria.org/>]

-  Presentations: slide only [slide-deck posted on www.iaria.org]

-  Demos: two pages [posted on www.iaria.org <http://www.iaria.org/>]



*Paper Format*

-  See: http://www.iaria.org/format.html

-  Before submission, please check and comply with the editorial rules:
http://www.iaria.org/editorialrules.html



*Publications*

-  Extended versions of selected papers will be published in IARIA Journals:
http://www.iariajournals.org

-  Print proceedings will be available via Curran Associates, Inc.:
http://www.proceedings.com/9769.html

-  Articles will be archived in the free access ThinkMind Digital Library:
http://www.thinkmind.org



*Paper Submission *
https://www.iariasubmit.org/conferences/submit/newcontribution.php?event=ICWMC+2020+Special
Please
select Track Preference as *DSIoT*



*Registration*

-  Each accepted paper needs at least one full registration, before the
camera-ready manuscript can be included in the proceedings.

-  Registration fees are available at http://www.iaria.org/registration.html



*Contact*

Chair:

      Prof. Dr. Ali Kadhum Idrees, University of Babylon, Iraq

       [log in to unmask]


Logistics:

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