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Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing

Overview of attention for book
Cover of 'Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing'

Table of Contents

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    Book Overview
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    Chapter 1 A-IDE: A Non-intrusive Cross-Platform Development Environment for AVR Programming in Assembly
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    Chapter 2 Develop a Horizontal Virtual Frame by Adding Field of View Restrictions to Reduce VR Sickness
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    Chapter 3 Represent Score as the Measurement of User Influence on Twitter
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    Chapter 4 The Experience of Developing a FAT File System Module in the Rust Programming Language
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    Chapter 5 Factors Influencing Consumers’ Online Grocery Shopping Under the New Normal
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    Chapter 6 Skeletal Muscle Segmentation at the Third Lumbar Vertebral Level in Radiotherapy CT Images
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    Chapter 7 Speed-Up Single Shot Detector on GPU with CUDA
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    Chapter 8 An Empirical Study on the Economic Factors Affecting on the Export of Defense Industry Using Hofstede’s Culture Dimension Theory
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    Chapter 9 A Study on the Application of Blockchain Technology in Non-governmental Organizations
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    Chapter 10 Confidential Documents Sharing Model Based on Blockchain Environment
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    Chapter 11 Distance Based Clustering in Wireless Sensor Network
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    Chapter 12 Study on OSINT-Based Security Control Monitoring Utilization Plan
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    Chapter 13 A Study on the Strategy of SWOT Extraction in the Metavers Platform Review Data: Using NLP Techniques
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    Chapter 14 Does Facial Expression Accurately Reveal True Emotion? Evidence from EEG Signal
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    Chapter 15 NSGA-II-AMO: A Faster Genetic Algorithm for QWSCP
Attention for Chapter 3: Represent Score as the Measurement of User Influence on Twitter
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Chapter title
Represent Score as the Measurement of User Influence on Twitter
Chapter number 3
Book title
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-19604-1_3
Book ISBNs
978-3-03-119603-4, 978-3-03-119604-1
Authors

Noji, Yuto, Okada, Ryotaro, Nakanishi, Takafumi

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X Demographics

The data shown below were collected from the profile of 1 X user 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Social Sciences 1 100%

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