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Emerging Trends and Advanced Technologies for Computational Intelligence

Overview of attention for book
Cover of 'Emerging Trends and Advanced Technologies for Computational Intelligence'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Plantar Inclinometer Based Approach to Fall Detection in Open Environments
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    Chapter 2 Using Fuzzy Evidential Reasoning for Multiple Assessment Fusion in Spondylarthropathic Patient Self-management
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    Chapter 3 Rescue System with Sensor Network for Vital Sign Monitoring and Rescue Simulations by Taking into Account Triage with Measured Vital Signs
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    Chapter 4 An Approach for Detecting Traffic Events Using Social Media
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    Chapter 5 Applying Supervised and Unsupervised Learning Techniques on Dental Patients’ Records
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    Chapter 6 Technology in Primary Schools: Teachers’ Perspective Towards the Use of Mobile Technology in Children Education
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    Chapter 7 Designing, Implementing and Testing an Automated Trading Strategy Based on Dynamic Bayesian Networks, the Limit Order Book Information, and the Random Entry Protocol
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    Chapter 8 An Adaptive Multi Agent Service Discovery for Peer to Peer Cloud Services
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    Chapter 9 Modelling and Detection of User Activity Patterns for Energy Saving in Buildings
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    Chapter 10 A New Architecture to Guarantee QoS Using PSO in Fixed WiMAX Networks
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    Chapter 11 Colour-Preserving Contrast Enhancement Algorithm for Images
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    Chapter 12 Sequential Pattern Discovery for Weather Prediction Problem
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    Chapter 13 A Class-Based Strategy to User Behavior Modeling in Recommender Systems
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    Chapter 14 Feature Correspondence in Low Quality CCTV Videos
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    Chapter 15 Automatic Detection and Severity Assessment of Crop Diseases Using Image Pattern Recognition
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    Chapter 16 Image Complexity and Visual Working Memory Capacity
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    Chapter 17 Immersive Brain Entrainment in Virtual Worlds: Actualizing Meditative States
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    Chapter 18 A Real-Time Stereo Vision Based Obstacle Detection
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    Chapter 19 Depth and Thermal Image Fusion for Human Detection with Occlusion Handling Under Poor Illumination from Mobile Robot
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    Chapter 20 Exploiting the retinal vascular geometry in identifying the progression to diabetic retinopathy using penalized logistic regression and random forests
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    Chapter 21 A New Method for Improving the Detection Capability of RADAR in the Presence of Noise
Attention for Chapter 7: Designing, Implementing and Testing an Automated Trading Strategy Based on Dynamic Bayesian Networks, the Limit Order Book Information, and the Random Entry Protocol
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Mentioned by

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2 X users

Citations

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Readers on

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6 Mendeley
Summary X Dimensions citations
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Chapter title
Designing, Implementing and Testing an Automated Trading Strategy Based on Dynamic Bayesian Networks, the Limit Order Book Information, and the Random Entry Protocol
Chapter number 7
Book title
Emerging Trends and Advanced Technologies for Computational Intelligence
Published in
Studies in Computational Intelligence, June 2016
DOI 10.1007/978-3-319-33353-3_7
Book ISBNs
978-3-31-933351-9, 978-3-31-933353-3
Authors

Javier Sandoval, Germán Hernández

Editors

Liming Chen, Supriya Kapoor, Rahul Bhatia

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 17%
Researcher 1 17%
Lecturer 1 17%
Other 1 17%
Unknown 2 33%
Readers by discipline Count As %
Computer Science 2 33%
Social Sciences 2 33%
Unknown 2 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 June 2016.
All research outputs
#17,732,227
of 25,992,468 outputs
Outputs from Studies in Computational Intelligence
#1
of 1 outputs
Outputs of similar age
#229,489
of 357,666 outputs
Outputs of similar age from Studies in Computational Intelligence
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.0. This one scored the same or higher as 0 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 357,666 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them

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