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Development and Analysis of Deep Learning Architectures

Overview of attention for book
Cover of 'Development and Analysis of Deep Learning Architectures'

Table of Contents

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    Book Overview
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    Chapter 1 Direct Error Driven Learning for Classification in Applications Generating Big-Data
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    Chapter 2 Deep Learning for Soft Sensor Design
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    Chapter 3 Case Study: Deep Convolutional Networks in Healthcare
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    Chapter 4 Deep Domain Adaptation for Regression
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    Chapter 5 Deep Learning-Based Pedestrian Detection for Automated Driving: Achievements and Future Challenges
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    Chapter 6 Deep Learning in Speaker Recognition
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    Chapter 7 Baby Cry Detection: Deep Learning and Classical Approaches
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    Chapter 8 Securing Industrial Control Systems from False Data Injection Attacks with Convolutional Neural Networks
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    Chapter 9 Deep Learning for Wireless Communications
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    Chapter 10 Identifying Extremism in Text Using Deep Learning
Attention for Chapter 9: Deep Learning for Wireless Communications
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Citations

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9 Dimensions

Readers on

mendeley
111 Mendeley
Summary Dimensions citations
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Chapter title
Deep Learning for Wireless Communications
Chapter number 9
Book title
Development and Analysis of Deep Learning Architectures
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-31764-5_9
Book ISBNs
978-3-03-031763-8, 978-3-03-031764-5
Authors

Tugba Erpek, Timothy J. O’Shea, Yalin E. Sagduyu, Yi Shi, T. Charles Clancy

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 111 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 18%
Student > Master 13 12%
Researcher 11 10%
Student > Bachelor 8 7%
Student > Doctoral Student 7 6%
Other 20 18%
Unknown 32 29%
Readers by discipline Count As %
Engineering 44 40%
Computer Science 20 18%
Unspecified 7 6%
Agricultural and Biological Sciences 3 3%
Economics, Econometrics and Finance 2 2%
Other 4 4%
Unknown 31 28%

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