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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.
·
31st
December 2018
Chapter proposal (max. 2-pages)/Intention to submit a chapter
·
31st
March 2019
Full chapter submission via e-mail: [log in to unmask]
and via
Easychair (https://easychair.org/conferences/?conf=aiot19)
·
31st
May 2019
Review comments
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30th
June 2019
Submission of the revised version
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31st
July 2019
Final acceptance notification
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31st
August 2019
Final manuscript
· Each final manuscript should be about 25-35 pages long (formatted). Depending on the number of submissions, longer manuscripts will also be accepted.
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
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