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Deep Learning and Missing Data in Engineering Systems

Overview of attention for book
Deep Learning and Missing Data in Engineering Systems
Springer International Publishing

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to Missing Data Estimation
  3. Altmetric Badge
    Chapter 2 Introduction to Deep Learning
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    Chapter 3 Missing Data Estimation Using Bat Algorithm
  5. Altmetric Badge
    Chapter 4 Missing Data Estimation Using Cuckoo Search Algorithm
  6. Altmetric Badge
    Chapter 5 Missing Data Estimation Using Firefly Algorithm
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    Chapter 6 Missing Data Estimation Using Ant Colony Optimization Algorithm
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    Chapter 7 Missing Data Estimation Using Ant-Lion Optimizer Algorithm
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    Chapter 8 Missing Data Estimation Using Invasive Weed Optimization Algorithm
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    Chapter 9 Missing Data Estimation Using Swarm Intelligence Algorithms from Reduced Dimensions
  11. Altmetric Badge
    Chapter 10 Deep Learning Framework Analysis
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    Chapter 11 Concluding Remarks
Attention for Chapter 11: Concluding Remarks
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Citations

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44 Dimensions

Readers on

mendeley
1 Mendeley
Summary Dimensions citations
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Chapter title
Concluding Remarks
Chapter number 11
Book title
Deep Learning and Missing Data in Engineering Systems
Published by
Springer, Cham, December 2018
DOI 10.1007/978-3-030-01180-2_11
Book ISBNs
978-3-03-001179-6, 978-3-03-001180-2
Authors

Collins Achepsah Leke, Tshilidzi Marwala, Leke, Collins Achepsah, Marwala, Tshilidzi

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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 %
Researcher 1 100%
Readers by discipline Count As %
Economics, Econometrics and Finance 1 100%

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