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» A Hierarchical Artificial Immune Model for Virus Detection
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JNW
2006
108views more  JNW 2006»
13 years 6 months ago
System-Level Fault Diagnosis Using Comparison Models: An Artificial-Immune-Systems-Based Approach
The design of large dependable multiprocessor systems requires quick and precise mechanisms for detecting the faulty nodes. The problem of system-level fault diagnosis is computati...
Mourad Elhadef, Shantanu Das, Amiya Nayak
GECCO
2006
Springer
178views Optimization» more  GECCO 2006»
13 years 10 months ago
A dynamic approach to artificial immune systems utilizing neural networks
The purpose of this work is to propose an immune-inspired setup to use a self-organizing map as a computational model for the interaction of antigens and antibodies. The proposed ...
Stefan Schadwinkel, Werner Dilger
BMCBI
2011
13 years 1 months ago
Detection of viral sequence fragments of HIV-1 subfamilies yet unknown
Background: Methods of determining whether or not any particular HIV-1 sequence stems - completely or in part - from some unknown HIV-1 subtype are important for the design of vac...
Thomas Unterthiner, Anne-Kathrin Schultz, Jan Bull...
ICARIS
2007
Springer
14 years 12 days ago
A Novel Immune Inspired Approach to Fault Detection
This paper presents a novel immune inspired algorithm, named DERA (Dynamic Effector Regulatory Algorithm), aimed at fault detection and other anomaly detection problems. It integr...
Thiago S. Guzella, Tomaz A. Mota-Santos, Walmir M....
CORR
2010
Springer
139views Education» more  CORR 2010»
13 years 6 months ago
Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm
Dendritic cells are antigen presenting cells that provide a vital link between the innate and adaptive immune system, providing the initial detection of pathogenic invaders. Resea...
Julie Greensmith, Uwe Aickelin, Gianni Tedesco