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Information and Communication Technologies in Education, Research, and Industrial Applications

Overview of attention for book
Cover of 'Information and Communication Technologies in Education, Research, and Industrial Applications'

Table of Contents

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    Book Overview
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    Chapter 1 The Internet of Things – Technical Challenges for Interoperability
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    Chapter 2 Architecting for Adaptive Resource Management in Mobile Augmented Reality Systems: Models, Metrics and Prototype Software Solutions
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    Chapter 3 Intelligent Cyber Defense System Using Artificial Neural Network and Immune System Techniques
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    Chapter 4 Application of Ordered Fuzzy Decision Trees in Construction of Structure Function of Multi-State System
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    Chapter 5 Using Choreography of Actors and Rewriting Rules to Adapt Legacy Fortran Programs to Cloud Computing
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    Chapter 6 Descriptive Models of System Dynamics
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    Chapter 7 Implementation of an ICT Curriculum
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    Chapter 8 Robotics and Prosthetics at Cleveland State University: Modern Information, Communication, and Modeling Technologies
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    Chapter 9 The Cloud-Based Learning Component with Maxima System and Its Evaluation
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    Chapter 10 Mobile Learning Technologies in English Learning
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    Chapter 11 The Experience of the Master Classes as a Means of Formation of Readiness of Teachers to Implement Innovation
Overall attention for this book and its chapters
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Title
Information and Communication Technologies in Education, Research, and Industrial Applications
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-69965-3
ISBNs
978-3-31-969964-6, 978-3-31-969965-3
Editors

Athula Ginige, Heinrich C. Mayr, Dimitris Plexousakis, Vadim Ermolayev, Mykola Nikitchenko, Grygoriy Zholtkevych, Aleksander Spivakovskiy

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 50%
Student > Doctoral Student 1 50%
Readers by discipline Count As %
Computer Science 2 100%

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