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Advances in Communication, Cloud, and Big Data

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Cover of 'Advances in Communication, Cloud, and Big Data'

Table of Contents

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    Book Overview
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    Chapter 1 Survey on Energy-Efficient Routing Protocols in Wireless Sensor Networks Using Game Theory
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    Chapter 2 Design and Analysis of Optimum APSK Modulation Technique
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    Chapter 3 Big Data Analytics in the Higher Education: Need of the Future
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    Chapter 4 Land Capability Classification for Agriculture: GIS and Remote Sensing Approach—A Survey
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    Chapter 5 Review on Vehicular Radar for Road Safety
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    Chapter 6 Landmark-Based Robot Navigation: A Paradigm Shift from Onboard Processing to Cloud
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    Chapter 7 From Cognitive Psychology to Image Segmentation: A Change of Perspective
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    Chapter 8 An Exploration in Perception-Based Digital Media Processing: A Psychological Perspective
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    Chapter 9 Converting and Developing Live Web Site into a Web Content Management System
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    Chapter 10 A Review On Existing QoS Routing Protocols in Vanet Based on Link Efficiency and Link Stability
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    Chapter 11 A Diamond-Shaped Fractal Bow-Tie Antenna for THz Applications
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    Chapter 12 A Study on Few Approaches to Counter Security Breaches in MANETs
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    Chapter 13 A Survey: EMG Signal-Based Controller for Human–Computer Interaction
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    Chapter 14 IEEE 802.15.4 as the MAC Protocol for Internet of Things (IoT) Applications for Achieving QoS and Energy Efficiency
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    Chapter 15 HMM-Based Speaker Gender Recognition for Bodo Language
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    Chapter 16 Accurate Drainage Network Extraction from Satellite Imagery—A Survey
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    Chapter 17 Survey on Transmission Control Protocol Performance Over Different Mobile Ad Hoc Routing Protocols
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    Chapter 18 A Survey on Detection and Mitigation of Distributed Denial-of-Service Attack in Named Data Networking
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Citations

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Readers on

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36 Mendeley
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Title
Advances in Communication, Cloud, and Big Data
Published by
Springer Singapore, June 2018
DOI 10.1007/978-981-10-8911-4
ISBNs
978-9-81-108910-7, 978-9-81-108911-4
Editors

Sarma, Hiren Kumar Deva, Borah, Samarjeet, Dutta, Nitul

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 19%
Student > Ph. D. Student 6 17%
Researcher 4 11%
Student > Bachelor 2 6%
Professor 2 6%
Other 5 14%
Unknown 10 28%
Readers by discipline Count As %
Computer Science 12 33%
Engineering 7 19%
Psychology 2 6%
Economics, Econometrics and Finance 1 3%
Earth and Planetary Sciences 1 3%
Other 2 6%
Unknown 11 31%