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Artificial Intelligence and Mobile Services – AIMS 2019

Overview of attention for book
Cover of 'Artificial Intelligence and Mobile Services – AIMS 2019'

Table of Contents

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    Book Overview
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    Chapter 1 Population-Based Variable Neighborhood Descent for Discrete Optimization
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    Chapter 2 The Constrained GAN with Hybrid Encoding in Predicting Financial Behavior
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    Chapter 3 ECGAN: Image Translation with Multi-scale Relativistic Average Discriminator
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    Chapter 4 Pork Registration Using Skin Image with Deep Neural Network Features
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    Chapter 5 ORB-Based Multiple Fixed Resolution Approach for On-Board Visual Recognition
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    Chapter 6 GRASP Method for Vehicle Routing with Delivery Place Selection
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    Chapter 7 Indexed Search
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    Chapter 8 Cognitively-Inspired Agent-Based Service Composition for Mobile and Pervasive Computing
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    Chapter 9 Accelerating Deep Learning Inference on Mobile Systems
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    Chapter 10 Design of Mobile Service of Intelligent Large-Scale Cyber Argumentation for Analysis and Prediction of Collective Opinions
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    Chapter 11 ResumeVis: Interactive Correlation Explorer of Resumes
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    Chapter 12 Named Entity Recognition in Clinical Text Based on Capsule-LSTM for Privacy Protection
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    Chapter 13 Domain Knowledge Enhanced Error Correction Service for Intelligent Speech Interaction
Attention for Chapter 7: Indexed Search
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Citations

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Readers on

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3 Mendeley
Summary Dimensions citations
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Chapter title
Indexed Search
Chapter number 7
Book title
Artificial Intelligence and Mobile Services – AIMS 2019
Published by
Springer, Cham, June 2019
DOI 10.1007/978-3-030-23367-9_7
Book ISBNs
978-3-03-023366-2, 978-3-03-023367-9
Authors

Erdal Kose, Kose, Erdal

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Unknown 2 67%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 33%
Unknown 2 67%

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