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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 Did Germinal Centers Evolve Under Differential Effects of Diversity vs Affinity?
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    Chapter 2 Modelling the Control of an Immune Response Through Cytokine Signalling
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    Chapter 3 Modeling Influenza Viral Dynamics in Tissue
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    Chapter 4 Cellular Frustration: A New Conceptual Framework for Understanding Cell-Mediated Immune Responses
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    Chapter 5 The Swarming Body: Simulating the Decentralized Defenses of Immunity
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    Chapter 6 Analysis of a Growth Model for Idiotypic Networks
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    Chapter 7 Randomly Evolving Idiotypic Networks: Analysis of Building Principles
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    Chapter 8 The Idiotypic Network with Binary Patterns Matching
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    Chapter 9 Tolerance vs Intolerance: How Affinity Defines Topology in an Idiotypic Network
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    Chapter 10 On Permutation Masks in Hamming Negative Selection
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    Chapter 11 Gene Libraries: Coverage, Efficiency and Diversity
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    Chapter 12 Immune System Modeling: The OO Way
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    Chapter 13 A Computational Model of Degeneracy in a Lymph Node
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    Chapter 14 Structural Properties of Shape-Spaces
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    Chapter 15 Integrating Innate and Adaptive Immunity for Intrusion Detection
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    Chapter 16 A Comparative Study on Self-tolerant Strategies for Hardware Immune Systems
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    Chapter 17 On the Use of Hyperspheres in Artificial Immune Systems as Antibody Recognition Regions
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    Chapter 18 A Heuristic Detector Generation Algorithm for Negative Selection Algorithm with Hamming Distance Partial Matching Rule
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    Chapter 19 A Novel Approach to Resource Allocation Mechanism in Artificial Immune Recognition System: Fuzzy Resource Allocation Mechanism and Application to Diagnosis of Atherosclerosis Disease
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    Chapter 20 Recognition of Handwritten Indic Script Using Clonal Selection Algorithm
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    Chapter 21 Diophantine Benchmarks for the B-Cell Algorithm
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    Chapter 22 A Population Adaptive Based Immune Algorithm for Solving Multi-objective Optimization Problems
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    Chapter 23 omni-aiNet: An Immune-Inspired Approach for Omni Optimization
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    Chapter 24 Immune Procedure for Optimal Scheduling of Complex Energy Systems
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    Chapter 25 Aligning Multiple Protein Sequences by Hybrid Clonal Selection Algorithm with Insert-Remove-Gaps and BlockShuffling Operators
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    Chapter 26 Controlling the Heating System of an Intelligent Home with an Artificial Immune System
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    Chapter 27 Don’t Touch Me, I’m Fine: Robot Autonomy Using an Artificial Innate Immune System
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    Chapter 28 Price Trackers Inspired by Immune Memory
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    Chapter 29 Theoretical Basis of Novelty Detection in Time Series Using Negative Selection Algorithms
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    Chapter 30 Danger Is Ubiquitous: Detecting Malicious Activities in Sensor Networks Using the Dendritic Cell Algorithm
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    Chapter 31 Articulation and Clarification of the Dendritic Cell Algorithm
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    Chapter 32 Immune-Inspired Adaptive Information Filtering
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    Chapter 33 An Immune Network for Contextual Text Data Clustering
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    Chapter 34 An Immunological Filter for Spam
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Citations

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Title
Artificial Immune Systems
Published by
Springer Science & Business Media, August 2006
DOI 10.1007/11823940
ISBNs
978-3-54-037749-8, 978-3-54-037751-1
Editors

Bersini, Hugues, Carneiro, Jorge

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

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 %
Student > Ph. D. Student 1 13%
Unknown 7 88%
Readers by discipline Count As %
Computer Science 1 13%
Unknown 7 88%