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978-3-540-73922-7 |
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20230222032218.0 |
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100301s2007 gw | s |||| 0|eng d |
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|a 9783540739227
|9 978-3-540-73922-7
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|a 10.1007/978-3-540-73922-7
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|a Artificial Immune Systems
|h [electronic resource] :
|b 6th International Conference, ICARIS 2007, Santos, Brazil, August 26-29, 2007, Proceedings /
|c edited by Leandro N. de Castro, Fernando J. Von Zuben, Helder Knidel.
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| 250 |
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|a 1st ed. 2007.
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| 264 |
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1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2007.
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| 300 |
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|a XII, 440 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a Theoretical Computer Science and General Issues,
|x 2512-2029 ;
|v 4628
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| 505 |
0 |
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|a Search and Optimization -- A Gradient-Based Artificial Immune System Applied to Optimal Power Flow Problems -- Multimodal Dynamic Optimization: From Evolutionary Algorithms to Artificial Immune Systems -- NAIS: A Calibrated Immune Inspired Algorithm to Solve Binary Constraint Satisfaction Problems -- A Solution Concept for Artificial Immune Networks: A Coevolutionary Perspective -- Classification and Clustering -- Artificial Immune Systems for Classification of Petroleum Well Drilling Operations -- The SUPRAIC Algorithm: A Suppression Immune Based Mechanism to Find a Representative Training Set in Data Classification Tasks -- The Influence of Diversity in an Immune-Based Algorithm to Train MLP Networks -- Applying Biclustering to Text Mining: An Immune-Inspired Approach -- Anomaly Detection and Negative Selection -- Defence Against 802.11 DoS Attacks Using Artificial Immune System -- A Novel Immune Inspired Approach to Fault Detection -- Towards a Novel Immune Inspired Approach to Temporal Anomaly Detection -- Bankruptcy Prediction Using Artificial Immune Systems -- Phase Transition and the Computational Complexity of Generating r-Contiguous Detectors -- Real-Valued Negative Selection Algorithm with a Quasi-Monte Carlo Genetic Detector Generation -- A Novel Fast Negative Selection Algorithm Enhanced by State Graphs -- Robotics, Control and Electronics -- Clonal Selection Algorithms for 6-DOF PID Control of Autonomous Underwater Vehicles -- An Immuno Robotic System for Humanitarian Search and Rescue (Application Stream) -- The Application of a Dendritic Cell Algorithm to a Robotic Classifier -- On Immune Inspired Homeostasis for Electronic Systems -- Modeling Papers -- Modeling Migration, Compartmentalization and Exit of Naive T Cells in Lymph Nodes Without Chemotaxis -- Revisiting the Central and Peripheral Immune System -- Topological Constraints in the Evolution of Idiotypic Networks -- A Computational Model for the Cognitive Immune System Theory Based on Learning Classifier Systems -- Conceptual Papers -- Motif Detection Inspired by Immune Memory -- An Immune-Inspired Approach to Speckled Computing -- Biological Inspiration for Artificial Immune Systems -- Regulatory T Cells: Inspiration for Artificial Immune Systems -- Technical Papers and General Applications -- Automated Blog Design System with a Population-Based Artificial Immune Algorithm -- Immune and Evolutionary Approaches to Software Mutation Testing -- An Artificial Immune System Based Approach for English Grammar Checking -- A Novel Clonal Selection Algorithm Based Fragile Watermarking Method -- BeeAIS: Artificial Immune System Security for Nature Inspired, MANET Routing Protocol, BeeAdHoc -- A Cultural Immune System for Economic Load Dispatch with Non-smooth Cost Functions -- Artificial Immune System to Find a Set of k-Spanning Trees with Low Costs and Distinct Topologies -- How to Obtain Appropriate Executive Decisions Using Artificial Immunologic Systems -- An Artificial Immune System-Inspired Multiobjective Evolutionary Algorithm with Application to the Detection of Distributed Computer Network Intrusions.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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0 |
|a Computer science.
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| 650 |
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|a Algorithms.
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| 650 |
|
0 |
|a Data mining.
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| 650 |
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0 |
|a Information storage and retrieval systems.
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| 650 |
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|a Bioinformatics.
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| 650 |
1 |
4 |
|a Artificial Intelligence.
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| 650 |
2 |
4 |
|a Theory of Computation.
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| 650 |
2 |
4 |
|a Algorithms.
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| 650 |
2 |
4 |
|a Data Mining and Knowledge Discovery.
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| 650 |
2 |
4 |
|a Information Storage and Retrieval.
|
| 650 |
2 |
4 |
|a Computational and Systems Biology.
|
| 700 |
1 |
|
|a Castro, Leandro N. de.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Von Zuben, Fernando J.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
|
|a Knidel, Helder.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
2 |
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|a SpringerLink (Online service)
|
| 773 |
0 |
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|t Springer Nature eBook
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783540841616
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783540739210
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| 830 |
|
0 |
|a Theoretical Computer Science and General Issues,
|x 2512-2029 ;
|v 4628
|
| 856 |
4 |
0 |
|u https://doi.uam.elogim.com/10.1007/978-3-540-73922-7
|z Texto Completo
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| 912 |
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|a ZDB-2-SCS
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| 912 |
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|a ZDB-2-SXCS
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| 912 |
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|a ZDB-2-LNC
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| 950 |
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|a Computer Science (SpringerNature-11645)
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| 950 |
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|a Computer Science (R0) (SpringerNature-43710)
|
