[ecoop-info] CFP : ICACCI Special Session on Machine Intelligence in IoT (MIIoT 2015)

Suman Sankar Bhunia bhunia.suman at gmail.com
Sun Apr 12 12:57:05 CEST 2015

Apologies for cross-postings.

Call for Papers - Special Session on  Machine Intelligence in IoT (MIIoT


Fourth International Conference on Advances in Computing, Communications
and Informatics (ICACCI-2015)
August 10-13, 2015, Kochi, India

Technically Co-sponsored by IEEE Communications Society and IEEE Systems,
Man, and Cybernetics Society

The Internet of Things (IoT) refers to uniquely addressable objects and
their virtual representations in an internet-like structure. The concepts
of pervasive computing and ubiquitous computing are related to the internet
of things, in the sense that all of these paradigms are enabled by
large-scale embedded sensor devices. On the other hand, Machine
Intelligence aims to design and develop robust automated decision making
systems. Its objective is to minimize the manual interruptions and maximize
the accuracy of the machine made ‘thoughts’ in a system.

Since IoT can sense and communicate, they have become tools for
understanding complexity, and may often enable autonomic responses to
challenging scenarios without human intervention. The large number of
devices simultaneously producing data in an automated way will greatly
dwarf the information which individuals can enter manually. Machine
Intelligence provides us the framework and tools to go beyond trivial
real-time decision and automation use cases for IoT. This is a quite
challenging task as the real time accurate decisions are to be made in
various circumstances over similar ‘things’ may be with some different
features. This session aims to introduce the machine intelligence features
to solve the challenges in IoT or to enhance its performance and to have
interface among academicians and industry people over the problems and
feasible solutions.

Topics of interest include, but are not limited to:

   - Real-time machine learning
   - Iterative machine learning
   - Multi-target learning
   - Automated video surveillance and tracking
   - Generating data analysis pipelines
   - Evaluation of machine learning models tailored to sensor data
   - Data extraction from sensor networks
   - Data conversion and calibration issues
   - Meta-learning, e.g., learning to adjust the analysis pipeline
   - Interpretable models, e.g., Rule Learning or Decision Tree Learning
   - Generating high-quality data sets
   - Data quality issues
   - Dealing with missing and low quality data
   - Gesture recognition
   - Object recognition
   - Feature Engineering with a focus on sensor data features
   - Generating high-quality features from sensor data
   - Application in various areas like e-health, smart city, intelligent
   transportation system

Authors should submit their papers online using EDAS. Unregistered authors
should first create an account on EDAS to log on. Further guidelines for
submission are posted at:http://icacci-conference.org/web/call-for-papers
All papers that conform to submission guidelines will be peer reviewed and
evaluated based on originality, technical and/or research content/depth,
correctness, relevance to conference, contributions, and readability. The
manuscripts should be submitted in PDF format. Acceptance of papers will be
communicated to authors by email. At least one full paying author of each
accepted paper must register for the conference before the indicated
deadline. Accepted and presented papers will be published in the conference
proceedings and submitted to IEEE Xplore as well as other Abstracting and
Indexing (A&I) databases.


Debarati Bhunia Chakraborty, Indian Statistical Institute, Kolkata, India

Suman Sankar Bhunia, Jadavpur University, Kolkata, India

<bhunia.suman at gmail.com>


Paper Submission Ends: May 1, 2015 (Firm)
Acceptance Notification:  May 25, 2015
Final Paper Deadline:  June 25, 2015

Suman Sankar Bhunia
School of Mobile Computing and Communication
Jadavpur University
Kolkata, INDIA
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://web.satd.uma.es/pipermail/ecoop-info/attachments/20150412/8250367c/attachment.html>

More information about the ecoop-info mailing list