scholarly journals Clinical diagnosis of breast cancer samples using artificial immune systems with negative selection / Diagnóstico clínico de amostras de cancro da mama utilizando sistemas imunitários artificiais com selecção negativa

2021 ◽  
Vol 7 (12) ◽  
pp. 115757-115777
Author(s):  
Luiz Francisco Granville Gonçalvez ◽  
Simone Silva Frutuoso De Souza ◽  
Fábio Roberto Chavarette ◽  
Fernando Parra dos Anjos Lima
Keyword(s):  
Breast Cancer ◽  
Clinical Diagnosis ◽  
Negative Selection ◽  
Artificial Immune Systems ◽  
Artificial Immune ◽  
Immune Systems

How Do We Evaluate Artificial Immune Systems?

2005 ◽  
Vol 13 (2) ◽  
pp. 145-177 ◽  
Author(s):  
Simon M. Garrett
Keyword(s):  
Immune System ◽  
Negative Selection ◽  
Clonal Selection ◽  
Artificial Immune Systems ◽  
Artificial Immune ◽  
Immune Systems ◽  
Danger Theory

The field of Artificial Immune Systems (AIS) concerns the study and development of computationally interesting abstractions of the immune system. This survey tracks the development of AIS since its inception, and then attempts to make an assessment of its usefulness, defined in terms of ‘distinctiveness’ and ‘effectiveness.’ In this paper, the standard types of AIS are examined—Negative Selection, Clonal Selection and Immune Networks—as well as a new breed of AIS, based on the immunological ‘danger theory.’ The paper concludes that all types of AIS largely satisfy the criteria outlined for being useful, but only two types of AIS satisfy both criteria with any certainty.

Artificial Immune Systems Applied to the Analysis of Structural Integrity of a Building

2014 ◽  
Vol 472 ◽  
pp. 544-549 ◽  
Author(s):  
Fernando Parra dos Anjos Lima ◽  
Fábio Roberto Chavarette ◽  
Simone Silva Frutuoso de Souza ◽  
Adriano dos Santos e Souza ◽  
Mara Lúcia Martins Lopes
Keyword(s):  
Negative Selection ◽  
Structural Integrity ◽  
Artificial Immune Systems ◽  
Structural Failure ◽  
Selection Algorithm ◽  
Artificial Immune ◽  
Immune Systems ◽  
Negative Selection Algorithm ◽  
Identification And Characterization

This paper presents the application of artificial immune systems for analysis of the structural integrity of a building. Inspired by a biological process, it uses the negative selection algorithm to perform the identification and characterization of structural failure. This paper presents the application of artificial immune systems for analysis of the structural integrity of a building. Inspired by a biological process, it uses the negative selection algorithm to perform the identification and characterization of structural failure. This methodology can assist professionals in the inspection of mechanical and civil structures, to identify and characterize flaws, in order to perform preventative maintenance to ensure the integrity of the structure and decision-making. In order to evaluate the methodology was made modeling a two-story building and several situations were simulated (base-line condition and improper conditions), yielding a database of signs, which were used as input data for the negative selection algorithm. The results obtained by the present method efficiency, robustness and accuracy.

IMMUNOLOGY AND ARTIFICIAL IMMUNE SYSTEMS

2012 ◽  
Vol 21 (06) ◽  
pp. 1250031 ◽  
Author(s):  
MUHAMMAD ROZI MALIM ◽  
FARIDAH ABDUL HALIM
Keyword(s):  
Immune System ◽  
Network Theory ◽  
Negative Selection ◽  
Artificial Immune System ◽  
Clonal Selection ◽  
Artificial Immune Systems ◽  
Selection Mechanism ◽  
Artificial Immune ◽  
Time Line ◽  
Immune Systems

Artificial immune system is inspired by the natural immune system for solving computational problems. The immunological principles that are primarily used in artificial immune systems are the clonal selection principle, the immune network theory, and the negative selection mechanism. These principles have been applied in anomaly detection, pattern recognition, computer and network security, dynamic environments and learning, robotics, data analysis, optimization, scheduling, and timetabling. This paper describes how these three immunological principles were adapted by previous researchers in their artificial immune system models and algorithms. Finally, the applications of various artificial immune systems to various domains are summarized as a time-line.

Fuzzy rule induction and artificial immune systems in female breast cancer familiarity profiling

2008 ◽  
Vol 5 (3) ◽  
pp. 161-165 ◽  
Author(s):  
Filippo Menolascina ◽  
Roberto T. Alves ◽  
Stefania Tommasi ◽  
Patrizia Chiarappa ◽  
Myriam Delgado ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Artificial Immune Systems ◽  
Fuzzy Rule ◽  
Female Breast Cancer ◽  
Rule Induction ◽  
Artificial Immune ◽  
Immune Systems ◽  
Female Breast

Artificial Immune Systems with Negative Selection Applied to Health Monitoring of Aeronautical Structures

2013 ◽  
Vol 871 ◽  
pp. 283-289 ◽  
Author(s):  
Fernando Parra dos Anjos Lima ◽  
Fábio Roberto Chavarette ◽  
Adriano dos Santos e Souza ◽  
Simone Silva Frutuoso de Souza ◽  
Mara Lúcia Martins Lopes
Keyword(s):  
Decision Making ◽  
Health Monitoring ◽  
Negative Selection ◽  
Biological Process ◽  
Artificial Immune Systems ◽  
Structural Failure ◽  
Artificial Immune ◽  
Immune Systems ◽  
Aluminum Beam ◽  
Principle Of Discrimination

In this paper we present a system for aircraft structural health monitoring based on artificial immune systems with negative selection. Inspired by a biological process, the principle of discrimination proper/non-proper, identifies and characterizes the signs of structural failure. The main application of this method is to assist in the inspection of aircraft structures, to detect and characterize flaws and decision making in order to avoid disasters. We proposed a model of an aluminum beam to perform the tests of the method. The results obtained by this method are excellent, showing robustness and accuracy.

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