[CFP] Elsevier Information Systems Journal [Impact Factor=1.456] -- Special Issue on "Information Fusion in Internet of Things"

Dear All,

Please find below a call for papers of the special issue for
Information Systems Journal (Elsevier) on "Information Fusion in Internet
of Things".
Please accept our apologies if you receive multiple copies of this
announcement.
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Call for papers for the special issue of the Information Systems Journal
(Elsevier) on
"Information Fusion in Internet of Things"

Link: http://www.journals.elsevier.com/information-systems/


AIMS AND SCOPE
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Increasing miniaturization of computing technologies and rapid advancements
in communication technologies have made the heterogeneous objects of our
daily lives invisibly interweave with sensors, actuators, and other
computational elements, while keeping a continuous network connection. The
continuous connectivity of these heterogeneous smart objects enables them
to communicate with each other and with the users of Internet of Things
(IoT) technologies. These continuously connected data, generating
heterogeneous objects, produce a huge amount of data that needs to be
processed, distributed, and examined under consideration of the application
objectives. Processing such unstructured and semi-structured data,
generated by heterogeneous sources with different contextual and conceptual
representations, is a challenging task. By leveraging the synergy among the
collected data, information fusion techniques can minimize the amount of
data traffic, filter irrelevant data, and make predictions and inferences
using the collected data in the IoT environment. Information fusion helps
combine the information into a new set of information while minimizing
uncertainty.



Researchers are leveraging information fusion techniques to minimize the
uncertainty of the data for enabling the smart objects of IoT to make the
reliable decisions. The exploitation of information fusion techniques in
IoT will open new dimensions for designing the reliable and autonomous
systems that can operate without the need for human interactions. Hence,
there is a need to investigate the potential opportunities of applying
information fusion in the designs of protocols and algorithms of IoT. Such
investigation will open up a totally new spectrum of functionalities with
unprecedented benefits for IoT-based environments. This special issue
invites new and unpublished work in the domain of information fusion in an
IoT context. More specifically, this special issue will focus on recent
research efforts in applying information fusion in IoT.



Topics of interest include:

Information Fusion

<https://mail.google.com/mail/u/0/?tab=wm#5170209766202537581__msocom_1>

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Data mining from multiple sources

Knowledge discovery for higher-level information fusion

Fusion of data mining knowledge

Data, text and web mining in information fusion

New theoretical approaches for information fusion

Intelligent information fusion

Context-based information fusion

Imprecision, uncertainty and vagueness in data mining

Anomaly and exception detection from datasets

Data pre- and post- processing

Parallel and distributed data fusion algorithms

Information summarization and visualization

Linguistic description of information

Applications of information fusion, such as surveillance, emergency
management, etc.

Security concerns of information fusion

Information Fusion in IoT

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Theory and representation of IoT information

New theoretical approaches for information fusion in IoT

Distributed information fusion for interactive cognitive IoT environments

Anomaly detection - techniques and applications for IoT

Quality-based information fusion in IoT

Fusion methods for Big Data in IoT

Novel feature/score/rank/decision-level fusion schemes for IoT

Knowledge discovery for higher-level information fusion in IoT

Fusion of data mining knowledge in IoT

Uncertainty management in IoT

Technologies for uncertainty reasoning in IoT

Intelligent information fusion techniques for IoT

Context-based information fusion techniques for IoT

Data registration methods in IoT

Data classification in IoT

Pattern assessment and process management in IoT

Active and passive information fusion  in IoT

High and low level information fusion in IoT

Multi-Level fusion: bridging the gap between high and low level fusion in
IoT

Hard and soft information fusion in IoT

Image fusion, database fusion in IoT

Distributed information fusion algorithms for IoT

Simulation tools; benchmarks; testbeds for information fusion in IoT

Fusion/tracking performance modeling,fusion/tracking performance
evaluation; performance metrics for IoT

Applications of information fusion in IoT

Security concerns of information fusion in IoT

IMPORTANT DATES
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Manuscript Due: 15th May 2016

Acceptance notification: 15th September 2016

Revised paper due: 15th November 2016

Final manuscript due: 15 December 2016

Expected Publication of the Special Issue: 25 January 2017

SUBMISSION GUIDELINES
----------------------------------------

All submissions have to be prepared according to the Guide for Authors as
published in the Journal website at
https://www.elsevier.com/journals/information-systems/0306-4379/guide-for-authors.
Authors should select “SI:IF-IoT”, from the “Choose Article Type” pull-down
menu during the submission process. All contributions must not have been
previously published or be under consideration for publication elsewhere. A
submission based on one or more papers that appeared elsewhere has to
comprise major value-added extensions over what appeared previously (at
least 30% new material). Authors are requested to attach to the submitted
paper their relevant, previously published articles and a summary document
explaining the enhancements made in the journal version.


GUEST EDITORS OF THE SPECIAL ISSUE
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* Ejaz Ahmed, Lead Guest Editor
  University of Malaya, Malaysia
  Email: [email protected]

* Mubashir Husain Rehmani
  COMSATS Institute of Information Technology, Pakistan
  Email: [email protected]

* Philippe Bonnet
  IT University of Copenhagen, Denmark
  Email: [email protected]




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Mubashir Husain Rehmani, Ph.D., Senior Member IEEE
Editor, IEEE Communications Surveys and Tutorials
Associate Editor, IEEE Communications Magazine
Associate Editor, IEEE *Access*
Associate Editor, Elsevier CAEE and JNCA Journals
Associate Editor, Springer Wireless Networks
Associate Editor, AHSWN Journal and JCN Journal
Assistant Professor, Department of Electrical Engineering
COMSATS Institute of Information Technology, Wah Cantt, Pakistan
Tel: +92-333-3052764
https://sites.google.com/site/mshrehmani/
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