CFC_Artificial Intelligence and Internet of Things

> **
>
> **
>
> *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.
>