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Intelligent Techniques for Efficient Use of Valuable Resources

Overview of attention for book
Cover of 'Intelligent Techniques for Efficient Use of Valuable Resources'

Table of Contents

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    Book Overview
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    Chapter 1 Information and Communications Technology in the Context of Circular Economy
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    Chapter 2 Mathematical Model of the Financial Sustainability of a Public University
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    Chapter 3 Using Modern Information and Communication Technologies for Intelligent Capitalization of Cultural Resources
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    Chapter 4 eTeaching and eLearning Resources. A Challenge for University Education During Covid-19
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    Chapter 5 Challenges and Opportunities for the E-Learning Users During COVID-19 Pandemic Times
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    Chapter 6 Integrated System for New Product Development in Healthcare
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    Chapter 7 Towards Energy Efficient Data Centers and Computation: Exploring Some Ideas from Physicist’s Perspective
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    Chapter 8 The Dark Side of Technology Use: The Relationship Between Technostress Creators, Employee Work-Life Balance, and Job Burnout While Working Remotely During the COVID-19 Lockdown
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    Chapter 9 Evaluation Protocols for the Optimization of Water Treatment Plants
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    Chapter 10 Learning Model-Free Reference Tracking Control with Affordable Systems
Attention for Chapter 3: Using Modern Information and Communication Technologies for Intelligent Capitalization of Cultural Resources
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2 Mendeley
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Chapter title
Using Modern Information and Communication Technologies for Intelligent Capitalization of Cultural Resources
Chapter number 3
Book title
Intelligent Techniques for Efficient Use of Valuable Resources
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-09928-1_3
Book ISBNs
978-3-03-109927-4, 978-3-03-109928-1
Authors

Ciurea, Cristian, Filip, Florin Gheorghe

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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 %
Unspecified 1 50%
Unknown 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Unknown 1 50%

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