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Theory and Practice of Natural Computing

Overview of attention for book
Cover of 'Theory and Practice of Natural Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Analysing Emergent Dynamics of Evolving Computation in 2D Cellular Automata
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    Chapter 2 Human-Inspired Socially-Aware Interfaces
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    Chapter 3 Stochastic Mechanisms of Growth and Branching in Mediterranean Coral Colonies
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    Chapter 4 Operation Insertion on the Conjugacy and Commutativity of Words
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    Chapter 5 Boolean Recombinase-Based Devices
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    Chapter 6 Card-Based Protocol Against Actively Revealing Card Attack
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    Chapter 7 Optimizing Convolutional Neural Networks for Embedded Systems by Means of Neuroevolution
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    Chapter 8 Migration Threshold Tuning in the Deterministic Dendritic Cell Algorithm
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    Chapter 9 Improving Resource Allocation in MOEA/D with Decision-Space Diversity Metrics
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    Chapter 10 An Analysis of Evolutionary Algorithms for Multiobjective Optimization of Structure and Learning of Fuzzy Cognitive Maps Based on Multidimensional Medical Data
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    Chapter 11 Genetic Algorithm for Optimization of the Replacement Schedules for Major Surface Combatants
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    Chapter 12 Adaptive Task Allocation for Planar Construction Using Response Threshold Model
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    Chapter 13 Deep Reinforcement Learning for Multi-satellite Collection Scheduling
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    Chapter 14 Evolution of Locomotion Gaits for Quadrupedal Robots and Reality Gap Characterization
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    Chapter 15 Non-abelian Gauge-Invariant Cellular Automata
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    Chapter 16 On Post-processing the Results of Quantum Optimizers
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    Chapter 17 Quantum Algorithms for the Most Frequently String Search, Intersection of Two String Sequences and Sorting of Strings Problems
Attention for Chapter 17: Quantum Algorithms for the Most Frequently String Search, Intersection of Two String Sequences and Sorting of Strings Problems
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Mentioned by

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2 X users

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8 Mendeley
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Chapter title
Quantum Algorithms for the Most Frequently String Search, Intersection of Two String Sequences and Sorting of Strings Problems
Chapter number 17
Book title
Theory and Practice of Natural Computing
Published in
arXiv, November 2019
DOI 10.1007/978-3-030-34500-6_17
Book ISBNs
978-3-03-034499-3, 978-3-03-034500-6
Authors

Kamil Khadiev, Artem Ilikaev, Khadiev, Kamil, Ilikaev, Artem

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

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 25%
Unspecified 1 13%
Lecturer 1 13%
Other 1 13%
Student > Doctoral Student 1 13%
Other 1 13%
Unknown 1 13%
Readers by discipline Count As %
Physics and Astronomy 3 38%
Computer Science 1 13%
Unspecified 1 13%
Decision Sciences 1 13%
Engineering 1 13%
Other 0 0%
Unknown 1 13%
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 08 January 2020.
All research outputs
#18,349,015
of 23,577,654 outputs
Outputs from arXiv
#452,149
of 973,463 outputs
Outputs of similar age
#320,680
of 460,442 outputs
Outputs of similar age from arXiv
#13,575
of 28,683 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 973,463 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 460,442 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28,683 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.