[Om-announce] CFC_Artificial Intelligence and Internet of Things

George Mastorakis mastorakis at gmail.com
Fri Nov 2 12:57:57 CET 2018



*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)*



*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 at 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:

·Each final manuscript should be about 25-35 pages long (formatted). 
Depending on the number of submissions, longer manuscripts will also be 

  * Please prepare your manuscript according to the following guidelines:



      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:
  * Submit the proposal of your chapter(s) via e-mail:
    mastorakis at 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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