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Hybrid Soft Computing Approaches

Overview of attention for book
Cover of 'Hybrid Soft Computing Approaches'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Hybrid CS–GSA Algorithm for Optimization
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    Chapter 2 Study of Economic Load Dispatch by Various Hybrid Optimization Techniques
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    Chapter 3 Unsolved Problems of Ambient Computationally Intelligent TBM Algorithms
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    Chapter 4 Hybridizing Differential Evolution Variants Through Heterogeneous Mixing in a Distributed Framework
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    Chapter 5 Collaborative Simulated Annealing Genetic Algorithm for Geometric Optimization of Thermo-electric Coolers
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    Chapter 6 Color Magnetic Resonance Brain Image Segmentation by ParaOptiMUSIG Activation Function: An Application
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    Chapter 7 Convergence Analysis of Backpropagation Algorithm for Designing an Intelligent System for Sensing Manhole Gases
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    Chapter 8 REFII Model as a Base for Data Mining Techniques Hybridization with Purpose of Time Series Pattern Recognition
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    Chapter 9 A Soft Computing Approach for Targeted Product Promotion on Social Networks
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    Chapter 10 Hybrid Rough-PSO Approach in Remote Sensing Imagery Analysis
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    Chapter 11 A Study and Analysis of Hybrid Intelligent Techniques for Breast Cancer Detection Using Breast Thermograms
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    Chapter 12 Neuro-Fuzzy Hybridized Model for Seasonal Rainfall Forecasting: A Case Study in Stock Index Forecasting
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    Chapter 13 Hybridization of 2D-3D Images for Human Face Recognition
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    Chapter 14 Neutrosophic Trust Evaluation Model in B2C E-Commerce
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    Chapter 15 Immune-Based Feature Selection in Rigid Medical Image Registration Using Supervised Neural Network
Overall attention for this book and its chapters
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

twitter
4 X users
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2 Facebook pages

Readers on

mendeley
45 Mendeley
Summary X Facebook
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Title
Hybrid Soft Computing Approaches
Published by
Studies in Computational Intelligence, January 2016
DOI 10.1007/978-81-322-2544-7
ISBNs
978-8-13-222543-0, 978-8-13-222544-7
Editors

Siddhartha Bhattacharyya, Paramartha Dutta, Susanta Chakraborty

View on publisher site
X Demographics

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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 24%
Researcher 6 13%
Student > Master 5 11%
Student > Doctoral Student 3 7%
Professor 3 7%
Other 4 9%
Unknown 13 29%
Readers by discipline Count As %
Engineering 14 31%
Computer Science 11 24%
Energy 3 7%
Medicine and Dentistry 1 2%
Decision Sciences 1 2%
Other 0 0%
Unknown 15 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 07 July 2017.
All research outputs
#8,785,110
of 25,992,468 outputs
Outputs from Studies in Computational Intelligence
#1
of 1 outputs
Outputs of similar age
#128,918
of 402,374 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 43rd percentile – i.e., 43% 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 3.0. 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 402,374 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
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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