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Internet of Vehicles and its Applications in Autonomous Driving

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Cover of 'Internet of Vehicles and its Applications in Autonomous Driving'

Table of Contents

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    Book Overview
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    Chapter 1 An Overview of Intelligent Transportation Systems in the Context of Internet of Vehicles
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    Chapter 2 Intelligent Transportation Systems and Its Necessity in Various Traffic Conditions in Indian Scenarios
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    Chapter 3 Autonomous Driving Cars: Decision-Making
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    Chapter 4 IEEE 802.11ah for Internet of Vehicles: Design Issues and Challenges
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    Chapter 5 Medium Access Control in Connected Vehicles: Advances and Limitations
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    Chapter 6 An Overview of ADAS in Internet of Vehicles
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    Chapter 7 iDriveAR: In-Vehicle Driver Awareness and Drowsiness Framework Based on Facial Tracking and Augmented Reality
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    Chapter 8 The Concept of Fusion for Clear Vision of Hazy Roads in ADAS
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    Chapter 9 Blockchain-Enabled Security and Privacy for Internet-of-Vehicles
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    Chapter 10 Approximation Algorithm and Linear Congruence: A State-of-Art Approach in Information Security Issues Towards Internet of Vehicles
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    Chapter 11 Electric Power-Train Pre-fault Detection Using AI with IoT
Attention for Chapter 10: Approximation Algorithm and Linear Congruence: A State-of-Art Approach in Information Security Issues Towards Internet of Vehicles
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Citations

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Chapter title
Approximation Algorithm and Linear Congruence: A State-of-Art Approach in Information Security Issues Towards Internet of Vehicles
Chapter number 10
Book title
Internet of Vehicles and its Applications in Autonomous Driving
Published by
Springer, Cham, January 2021
DOI 10.1007/978-3-030-46335-9_10
Book ISBNs
978-3-03-046334-2, 978-3-03-046335-9
Authors

Anirban Bhowmik, Sunil Karforma, Joydeep Dey, Arindam Sarkar

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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 %
Researcher 1 50%
Student > Ph. D. Student 1 50%
Readers by discipline Count As %
Computer Science 2 100%

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