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**
**
*Call for Book Chapters for the Springer-Verlag Handbook:***
*“Convergence of Artificial Intelligence and Internet of
Things”***
*Series on Internet of Things - Technologies, Communications and
Computing (covered by Scopus)*
*//*
*/Editors/*
*George Mastorakis, Technological Educational Institute of Crete,
Greece*
*Constandinos X. Mavromoustakis, University of Nicosia, Cyprus*
*Jordi Mongay Batalla, National Institute of Telecommunications,
Poland*
*Evangelos Pallis, Technological Educational Institute of Crete,
Greece*
**
The Internet of Things (IoT) paradigm has been introduced to
characterize smart objects that can communicate and exchange
information via the existing Web infrastructure, as well as future
5G mobile networking architectures. Cloud-based IoT mechanisms are
utilized to enable the interconnection of a variety of smart
objects, such as, cars, cell phones and sensors inside smart
cities, smart businesses and smart home environments. IoT based
objects produce a vast volume of information frequently called as
Big Data, which cannot be easily processed by traditional
algorithms and schemes. However, future smart environments will
enable efficient handling and processing of Big Data that is
generated by the associated objects for an effective communication
and co-operation among them. In any case, there is profoundly
helpful data and many values in trying to analyze, as well as
process it. IoT-based objects have an increased consideration from
researchers in several scientific fields and disciplines.
In addition, Artificial Intelligence (AI) will play a crucial role
in such environments, enabling for smarter services, applications,
business processes and social interaction among the IoT objects.
In this respect, a great potential exists for advanced
technological solutions combined with AI and IoT-enabled
capabilities. AI mechanisms applied in IoT environments can be
exploited in smart homes to analyze human actions via motion or
facial recognition sensors. AI will play a significant role in
future IoT applications and infrastructures, by providing insights
from collected data. This capability will enable the
identification of patterns and will allow operational predictions
with higher accuracy in small time periods. AI applications for
smart devices will also enable businesses to develop new products,
reduce possible risks and increase efficiency during the
production time, by predicting failures that are usually
non-detectable by humans or simple devices.
The future of the implementation of AI-powered IoT infrastructures
depends on the effective solutions to a number of technical
challenges that such paradigms introduce. These challenges include
intelligent sensor capabilities improvement, smart Big Data
analytics, automated remote data management, as well as open and
secure composition of processes, which may be implemented into
emerging AI-enabled IoT scenarios. Some initiatives try to
incorporate Artificial Intelligence schemes in IoT environments,
but new frameworks have to be defined. In fact, the approach of
IoT is to find the potential benefits of AI, in order to build
extensive ecosystems, for increasing the number of automated
services and their value. In this respect, this book aims to
gather recent research works in emerging Artificial Intelligence
methods for processing and storing the data generated from
cloud-based Internet of Things infrastructures. The major subjects
of the proposed book will cover the analysis and the development
of AI-powered mechanisms in future IoT applications and
architectures.
Topics of interest include but are /_not limited_/ to:
•Emerging trends of AI in the IoT
•Architectures and systems for AI and IoT convergence
•IoT with Machine Learning technologies
•AI and IoT applications
•AI-enabled IoT systems
•Performance Evaluation of Deep Learning and IoT-related
mechanisms
•IoT interfaces
•IoT programming and APIs issues/concepts and architectures
•IoT with deep learning schemes
•Social computing and Intelligent IoT
•Context oriented computing
•Blockchain oriented schemes and related topics
•Big Data Analysis
•Modern Artificial Intelligence and Automation
•Ethics of Artificial Intelligence
•AI for health care systems
•Web intelligence applications & search
•Ambient Intelligence
•Artificial immune systems
•Autonomous and ubiquitous computing
•Data Fusion
•Self-Organising Networks
•Virtual and Augmented Reality
•Intelligent sensors
//
/We strongly welcome _other topic suggestions,_ dealing with AI
and //IoT and any converged approach./
_Schedule & Deadlines_
·*_31^st December 2018_**__*
Chapter proposal (max. 2-pages)/Intention to submit a chapter
·*_31^st March 2019_**__*
Full chapter submission via e-mail:
mastorakis@gmail.comand via
Easychair (
https://easychair.org/conferences/?conf=aiot19)
·*_31^st May 2019_**__*
Review comments
·*_30^th June 2019_**__*
Submission of the revised version
·*_31^st July 2019_**__*
Final acceptance notification
·*_31^st August 2019_**__*
Final manuscript
_Manuscript Preparation_
* Please follow the manuscript formatting guidelines below and
submit
the original version (in */Microsoft word/*) and or */LaTex/*
format
as per the guidelines (URL:
www.cs.unic.ac.cy/cmavrom/T1-book(IoT).zip
<http://www.cs.unic.ac.cy/cmavrom/T1-book%28IoT%29.zip>).
·Each final manuscript should be about 25-35 pages long
(formatted). Depending on the number of submissions, longer
manuscripts will also be accepted.
* Please prepare your manuscript according to the following
guidelines:
http://www.springer.com/gp/authors-editors/book-authors-editors/manuscript-preparation/5636#c3324
http://www.cs.unic.ac.cy/cmavrom/PermissionReqForm%28Springer%292018.doc
o Download the Consent-to-Publish (CTP) form and along with your
chapter sign, scan and submit it simultaneously. The form can be
found at:
http://www.cs.unic.ac.cy/cmavrom/CTP%28SpringerAI_IOT%292018.pdf
* Submit the proposal of your chapter(s) via e-mail:
mastorakis@gmail.comand via */_Easychair_/*. The submission Web
site
is:
https://easychair.org/conferences/?conf=aiot19
* Note that both (*e-mail and via EasyChair*) submission methods
should be used for cross confirmation.
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