**
**
*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_**_(NEW DEADLINE: 31_**_*_st_* January 2019) _*
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.
