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Deep Learning Applications, Volume 2

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Cover of 'Deep Learning Applications, Volume 2'

Table of Contents

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    Book Overview
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    Chapter 1 Deep Learning-Based Recommender Systems
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    Chapter 2 A Comprehensive Set of Novel Residual Blocks for Deep Learning Architectures for Diagnosis of Retinal Diseases from Optical Coherence Tomography Images
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    Chapter 3 Three-Stream Convolutional Neural Network for Human Fall Detection
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    Chapter 4 Diagnosis of Bearing Faults in Electrical Machines Using Long Short-Term Memory (LSTM)
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    Chapter 5 Automatic Solar Panel Detection from High-Resolution Orthoimagery Using Deep Learning Segmentation Networks
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    Chapter 6 Training Deep Learning Sequence Models to Understand Driver Behavior
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    Chapter 7 Exploiting Spatio-Temporal Correlation in RF Data Using Deep Learning
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    Chapter 8 Human Target Detection and Localization with Radars Using Deep Learning
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    Chapter 9 Thresholding Strategies for Deep Learning with Highly Imbalanced Big Data
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    Chapter 10 Vehicular Localisation at High and Low Estimation Rates During GNSS Outages: A Deep Learning Approach
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    Chapter 11 Multi-Adversarial Variational Autoencoder Nets for Simultaneous Image Generation and Classification
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    Chapter 12 Non-convex Optimization Using Parameter Continuation Methods for Deep Neural Networks
Attention for Chapter 10: Vehicular Localisation at High and Low Estimation Rates During GNSS Outages: A Deep Learning Approach
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Citations

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Chapter title
Vehicular Localisation at High and Low Estimation Rates During GNSS Outages: A Deep Learning Approach
Chapter number 10
Book title
Deep Learning Applications, Volume 2
Published by
Springer, Singapore, January 2021
DOI 10.1007/978-981-15-6759-9_10
Book ISBNs
978-9-81-156758-2, 978-9-81-156759-9
Authors

Uche Onyekpe, Stratis Kanarachos, Vasile Palade, Stavros-Richard G. Christopoulos, Onyekpe, Uche, Kanarachos, Stratis, Palade, Vasile, Christopoulos, Stavros-Richard G.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 38%
Student > Ph. D. Student 2 25%
Student > Master 2 25%
Lecturer 1 13%
Professor > Associate Professor 1 13%
Other 0 0%
Readers by discipline Count As %
Engineering 4 50%
Computer Science 3 38%
Medicine and Dentistry 1 13%

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