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Artificial Immune Systems: 11th International Conference, ICARIS 2012, Taormina, Italy, August 28-31, 2012, Proceedings 2012 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 293 pages, kõrgus x laius: 235x155 mm, kaal: 486 g, 84 Illustrations, black and white; XIX, 293 p. 84 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 7597
  • Ilmumisaeg: 24-Aug-2012
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642337562
  • ISBN-13: 9783642337567
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Artificial Immune Systems: 11th International Conference, ICARIS 2012, Taormina, Italy, August 28-31, 2012, Proceedings 2012 ed.Suurem pilt
  • Formaat: Paperback / softback, 293 pages, kõrgus x laius: 235x155 mm, kaal: 486 g, 84 Illustrations, black and white; XIX, 293 p. 84 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 7597
  • Ilmumisaeg: 24-Aug-2012
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642337562
  • ISBN-13: 9783642337567
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783642337567.html
Märksõnad:
This book constitutes the refereed proceedings of the 11th International Conference on Artificial Immune Systems, ICARIS 2012, held in Taormia, Italy, in August 2012. The 19 revised selected papers presented were carefully reviewed and selected for inclusion in this book. In addition 4 papers of the workshop on bio and immune inspired algorithms and models for multi-level complex systems are included in this volume. Artificial immune systems (AIS) is a diverse and maturing area of research that bridges the disciplines of immunology, biology, medical science, computer science, physics, mathematics and engineering. The scope of AIS ranges from modelling and simulation of the immune system through to immune-inspired algorithms and in silico, in vitro and in vivo solutions.
Face Recognition by Searching Most Similar Sample with Immune
Learning.- A Multi-Objective Artificial Immune System Based on Hypervolume.-
A Comparative Study of Negative Selection Based Anomaly Detection in Sequence
Data.- Immune-Inspired Self Healing in Wireless Sensor Networks.- A
Beginners Guide to Systems Simulation in Immunology.- Clustering-Based
Multi-objective Immune Optimization Evolutionary Algorithm.- Petri Nets
Approach to Modeling of Immune System and Autism.- Mathematical
Implementation of Interation between Malaria and Immune System.- Computing
Longest Common Subsequences with the B-Cell Algorithm.- Bait a Trap:
Introducing Natural Killer Cells to Artificial Immune System for Spyware
Detection.- AC-CS: An Immune-Inspired Associative Classification Algorithm.-
RC-DCA: A New Feature Selection and Signal Categorization Technique for the
Dendritic Cell Algorithm Based on Rough Set Theory.- Artificial Immune
Network Approach with Beta Differential Operator Applied to Optimization of
Heat Exchangers.- A Negative Selection Approach to Intrusion Detection.-
Clonal Expansion without Self-replicating Entities.- A Real Time Anomaly
Detection System Based on Probabilistic Artificial Immune Systems.- CSA/IE:
Novel Clonal Selection Algorithm with Information Exchange
for High Dimensional Global Optimization Problems.- An Ecological Approach to
Anomaly Detection: The EIA Model.- Rethinking Concepts of the Dendritic Cell
Algorithm for Multiple Data Stream Analysis.- Stability-Based Model Selection
for High Throughput Genomic Data: An Algorithmic Paradigm.- Towards an
Evolutionary Procedure for Reverse-Engineering Biological Networks.-
Distributed Computing with Prokaryotic Immune Systems.- The Immune System as
a Metaphor for Topology Driven Patterns
Formation in Complex Systems.