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Intelligent Computing Systems

Overview of attention for book
Cover of 'Intelligent Computing Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Optimization of the Dictionary Size Selection: An Efficient Combination of K-SVD and PCA to Denoise and Enhance Digital Mammography Contrast
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    Chapter 2 Robustness of Deep Convolutional Neural Networks for Image Recognition
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    Chapter 3 Predicting the RCGA Performance for the University Course Timetabling Problem
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    Chapter 4 Photovoltaic Module Temperature Estimation: A Comparison Between Artificial Neural Networks and Adaptive Neuro Fuzzy Inference Systems Models
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    Chapter 5 Thermal Efficiency Prediction of a Solar Low Enthalpy Steam Generating Plant Employing Artificial Neural Networks
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    Chapter 6 Using Semantic Technologies for an Intelligent Medical Trainer
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    Chapter 7 Intelligent Computing Systems
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    Chapter 8 Fuzzy-Based Visual Servo with Path Planning for a Ball-Plate System
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    Chapter 9 Online Breast Cancer Diagnosis System
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    Chapter 10 Recognizing Motion Images Solid Waste Jumbled on a Neural Network with a Simple Tracking Performed in an Automatic and Robotic Recycling Line
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    Chapter 11 Face Recognition Using Histogram Oriented Gradients
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    Chapter 12 An Approach to Codification Power on the Behavior of Genetic Algorithms
Attention for Chapter 2: Robustness of Deep Convolutional Neural Networks for Image Recognition
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Citations

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Readers on

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26 Mendeley
Summary Dimensions citations
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Chapter title
Robustness of Deep Convolutional Neural Networks for Image Recognition
Chapter number 2
Book title
Intelligent Computing Systems
Published by
Springer, Cham, March 2016
DOI 10.1007/978-3-319-30447-2_2
Book ISBNs
978-3-31-930446-5, 978-3-31-930447-2
Authors

Matej Uličný, Jens Lundström, Stefan Byttner

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 23%
Student > Ph. D. Student 4 15%
Other 2 8%
Student > Bachelor 2 8%
Researcher 1 4%
Other 1 4%
Unknown 10 38%
Readers by discipline Count As %
Computer Science 7 27%
Engineering 5 19%
Physics and Astronomy 2 8%
Mathematics 1 4%
Unknown 11 42%

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