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Artificial Immune Systems

Overview of attention for book
Cover of 'Artificial Immune Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Agent Based Modeling of Lung Metastasis-Immune System Competition
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    Chapter 2 Using UML to Model EAE and Its Regulatory Network
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    Chapter 3 Non-deterministic Explanation of Immune Responses: A Computer Model
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    Chapter 4 Dendritic Cell Trafficking: From Immunology to Engineering
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    Chapter 5 A Hybrid Agent Based and Differential Equation Model of Body Size Effects on Pathogen Replication and Immune System Response
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    Chapter 6 Nonself Detection in a Two-Component Cellular Frustrated System
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    Chapter 7 Questions of Function: Modelling the Emergence of Immune Response
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    Chapter 8 Object-Oriented Refactoring of Existing Immune Models
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    Chapter 9 Mathematical Model of HIV Superinfection and Comparative Drug Therapy
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    Chapter 10 Exploration of the Dendritic Cell Algorithm Using the Duration Calculus
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    Chapter 11 On AIRS and Clonal Selection for Machine Learning
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    Chapter 12 A Theoretical Analysis of Immune Inspired Somatic Contiguous Hypermutations for Function Optimization
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    Chapter 13 Comparing Different Aging Operators
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    Chapter 14 Efficient Algorithms for String-Based Negative Selection
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    Chapter 15 T Cell Receptor Signalling Inspired Kernel Density Estimation and Anomaly Detection
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    Chapter 16 An Immuno-engineering Approach for Anomaly Detection in Swarm Robotics
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    Chapter 17 An Immune-Inspired Approach to Qualitative System Identification of the Detoxification Pathway of Methylglyoxal
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    Chapter 18 Application of AIS Based Classification Algorithms to Detect Overloaded Areas in Power System Networks
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    Chapter 19 Artificial Immune System Applied to the Multi-stage Transmission Expansion Planning
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    Chapter 20 Immune Learning in a Dynamic Information Environment
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    Chapter 21 Unsupervised Structure Damage Classification Based on the Data Clustering and Artificial Immune Pattern Recognition
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    Chapter 22 A Sense of ‘Danger’ for Windows Processes
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    Chapter 23 An Immunity Inspired Real-Time Cooperative Control Framework for Networked Multi-agent Systems
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    Chapter 24 Managing Diversity on an AIS That Solves 3-Colouring Problems
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    Chapter 25 An Error Propagation Algorithm for Ad Hoc Wireless Networks
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    Chapter 26 Grammar-Based Immune Programming for Symbolic Regression
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    Chapter 27 A New Algorithm Based on Negative Selection and Idiotypic Networks for Generating Parsimonious Detector Sets for Industrial Fault Detection Applications
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    Chapter 28 Parametric Modelling of a Flexible Plate Structure Using Artificial Immune System Algorithm
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    Chapter 29 A Hybrid Approach for Learning Concept Hierarchy from Malay Text Using GAHC and Immune Network
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    Chapter 30 An Immune Inspired Algorithm for Solving Dynamic Vehicle Dispatching Problem in a Port Container Terminal
Attention for Chapter 14: Efficient Algorithms for String-Based Negative Selection
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Citations

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Chapter title
Efficient Algorithms for String-Based Negative Selection
Chapter number 14
Book title
Artificial Immune Systems
Published by
Springer, Berlin, Heidelberg, August 2009
DOI 10.1007/978-3-642-03246-2_14
Book ISBNs
978-3-64-203245-5, 978-3-64-203246-2
Authors

Michael Elberfeld, Johannes Textor, Elberfeld, Michael, Textor, Johannes

View on publisher site
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 %
United Kingdom 1 14%
Germany 1 14%
Unknown 5 71%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 71%
Student > Master 2 29%
Readers by discipline Count As %
Computer Science 7 100%

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