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Computing, Analytics and Networks

Overview of attention for book
Cover of 'Computing, Analytics and Networks'

Table of Contents

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    Book Overview
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    Chapter 1 Performance Evaluation of De-noising Techniques Using Full-Reference Image Quality Metrics
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    Chapter 2 Using Open Clinical Data to Create an Embeddable Prediction System for Hospital Stay
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    Chapter 3 Smart Toll Collection Using Automatic License Plate Recognition Techniques
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    Chapter 4 A Co-design Methodology to Design and Develop Serious Educational Games: Integrating the Actors and Challenges in Each Phase
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    Chapter 5 VLSI Floorplanning Using Entropy Based Intelligent Genetic Algorithm
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    Chapter 6 Enhancing Levenshtein’s Edit Distance Algorithm for Evaluating Document Similarity
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    Chapter 7 Connected Cluster Based Node Reduction and Traversing for the Shortest Path on Digital Map
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    Chapter 8 Learning Cuckoo Search Strategy for t-way Test Generation
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    Chapter 9 Harnessing Supremacy of Big Data in Retail Sector via Hadoop
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    Chapter 10 Intelligent Modelling of Moisture Sorption Isotherms in Milk Protein-Rich Extruded Snacks Prepared from Composite Flour
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    Chapter 11 AI Based HealthCare Platform for Real Time, Predictive and Prescriptive Analytics
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    Chapter 12 Model Predictive Optimization for Energy Storage-Based Smart Grids
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    Chapter 13 Attacker Evidence System in WSN
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    Chapter 14 Conservation of Feature Sub-spaces Across Rootkit Sub-families
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    Chapter 15 Gini Coefficient Based Wealth Distribution in the Bitcoin Network: A Case Study
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    Chapter 16 A Cipher Based Acknowledgement Approach for Securing MANETs by Mitigating Black and Gray Hole Attacks
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Title
Computing, Analytics and Networks
Published by
Springer Singapore, August 2018
DOI 10.1007/978-981-13-0755-3
ISBNs
978-9-81-130754-6, 978-9-81-130755-3
Editors

Rajnish Sharma, Archana Mantri, Sumeet Dua

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 38%
Student > Master 2 15%
Researcher 2 15%
Professor > Associate Professor 1 8%
Student > Postgraduate 1 8%
Other 0 0%
Unknown 2 15%
Readers by discipline Count As %
Computer Science 6 46%
Biochemistry, Genetics and Molecular Biology 1 8%
Arts and Humanities 1 8%
Linguistics 1 8%
Decision Sciences 1 8%
Other 0 0%
Unknown 3 23%