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Artificial Intelligence and Mobile Services – AIMS 2018

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Cover of 'Artificial Intelligence and Mobile Services – AIMS 2018'

Table of Contents

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    Book Overview
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    Chapter 1 A Two-Stage Bi-LSTM Model for Chinese Company Name Recognition
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    Chapter 2 Multi-modal Multi-scale Speech Expression Evaluation in Computer-Assisted Language Learning
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    Chapter 3 From Global to Local: A Context-Embedded LSTM Recurrent Network for Local Content Popularity Prediction
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    Chapter 4 Matching Low-Quality Photo to DSLR-Quality with Deep Convolutional Networks
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    Chapter 5 Learning Frame-Level Recurrent Neural Networks Representations for Query-by-Example Spoken Term Detection on Mobile Devices
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    Chapter 6 Plant Identification Based on Image Set Analysis
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    Chapter 7 Economic Index Forecasting via Multi-scale Recursive Dynamic Factor Analysis
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    Chapter 8 Sub Goal Oriented A* Search
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    Chapter 9 Towards Efficient Mobile Augmented Reality in Indoor Environments
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    Chapter 10 MAD-API: Detection, Correction and Explanation of API Misuses in Distributed Android Applications
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    Chapter 11 Relaxed Event-Triggered Control of Networked Control Systems Under Denial of Service Attacks
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    Chapter 12 Sentiment Analysis Based on Hybrid Bi-attention Mechanism in Mobile Application
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    Chapter 13 Automotive Diagnostics as a Service: An Artificially Intelligent Mobile Application for Tire Condition Assessment
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    Chapter 14 AICDS: An Infant Crying Detection System Based on Lightweight Convolutional Neural Network
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    Chapter 15 Exploring Trends of Lung Cancer Research Based on Word Representation
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    Chapter 16 Effective Facial Obstructions Removal with Enhanced Cycle-Consistent Generative Adversarial Networks
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    Chapter 17 Applied Analysis of Social Network Data in Personal Credit Evaluation
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    Chapter 18 Deep Neural Network Based Frame Reconstruction for Optimized Video Coding
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    Chapter 19 Detection and Tracking of Moving Objects for Indoor Mobile Robots with a Low-Cost Laser Scanner
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    Chapter 20 Using It/Is Applications to Empower Physically Challenged Individuals to Enjoy a High Quality of Life
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4 X users
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5 patents
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1 Facebook page

Readers on

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Title
Artificial Intelligence and Mobile Services – AIMS 2018
Published by
Springer International Publishing, July 2018
DOI 10.1007/978-3-319-94361-9
ISBNs
978-3-31-994360-2, 978-3-31-994361-9
Editors

Aiello, Marco, Yang, Yujiu, Zou, Yuexian, Zhang, Liang-Jie

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Student > Bachelor 2 29%
Researcher 1 14%
Unknown 2 29%
Readers by discipline Count As %
Computer Science 2 29%
Physics and Astronomy 1 14%
Engineering 1 14%
Unknown 3 43%