Exploring Deep Learning for Efficient and Reliable Mobile Sensing

  in Special Issue   Posted on August 17, 2017

Information for the Special Issue

Submission Deadline: Fri 01 Dec 2017
Journal Impact Factor : 8.808
Journal Name : IEEE Network
Journal Publisher:
Website for the Special Issue: http://www.comsoc.org/netmag/cfp/exploring-deep-learning-efficient-and-reliable-mobile-sensing
Journal & Submission Website: http://www.comsoc.org/netmag

Special Issue Call for Papers:

Submission Deadline: December 1, 2017
First Reviews Due: February 28, 2018
Notification of Acceptance: April 30, 2018
Final Manuscripts Due: May 31, 2018
Publication: July 2018

We solicit papers in a variety of topics presenting the current development and addressing the challenges in DLMS. Topics of interest include, but are not limited to, the following:

Deep learning algorithms tailored to mobile devices
Deep learning algorithms requiring limited set of data
Deep learning algorithms for highly heterogeneous data
Mobile runtime support for deep learning models
Energy efficient design and development for DLMS
New edge computing architectures and implementations for DLMS
Privacy concerns and security policies for DLMS
DLMS applications, services and systems

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