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A Modified Negative Selection Algorithm Applied in the Diagnosis of Voltage Disturbances in Distribution Electrical Systems
(Ieee, 2015-01-01)
This paper presents a modified negative selection algorithm for the diagnosis of disturbance in distribution electrical systems. This study analyzes voltage disturbances and high-impedance faults, based on three phase ...
A modified negative selection algorithm applied in the diagnosis of voltage disturbances in distribution electrical systems
(2015-11-10)
This paper presents a modified negative selection algorithm for the diagnosis of disturbance in distribution electrical systems. This study analyzes voltage disturbances and high-impedance faults, based on three phase ...
An artificial immune system with continuous-learning for voltage disturbance diagnosis in electrical distribution systems
(2016-09-01)
This paper presents a new artificial immune algorithm with continuous-learning, which is inspired by the biological immune system, to realize the voltage diagnosis in electrical distribution systems. This conception allows ...
Artificial Immune Systems Applied to the Analysis of Structural Integrity of a Building
(Trans Tech Publications Ltd, 2014-01-01)
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 ...
An immunological approach based on the negative selection algorithm for real noise classification in speech signals
(2017-02-01)
This paper presents a new approach to detect and classify background noise in speech sentences based on the negative selection algorithm and dual-tree complex wavelet transform. The energy of the complex wavelet coefficients ...
Artificial Immune Systems with Negative Selection Applied to Health Monitoring of Aeronautical Structures
(Trans Tech Publications Ltd, 2014-01-01)
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, ...
A longitudinal approach for understanding algorithm use
(WILEY, 2022)
Research suggests that algorithms-based on artificial intelligence or linear regression models-make better predictions than humans in a wide range of domains. Several studies have examined the degree to which people use ...
Damage diagnosis in an isotropic structure using an artificial immune system algorithm
(2019-11-01)
This work proposes a recent methodology for developing structural health monitoring based on intelligent computing techniques, with the purpose of detecting structural damages in aircrafts using artificial immune systems ...
Algorithm for the diagnosis of smear-negative pulmonary tuberculosis in high-incidence resource-constrained settings
(Wiley, 2013)
Objectives: Diagnosis of smear-negative pulmonary tuberculosis (SNPT) remains a challenge, particularly in resource-constrained settings. We evaluated a diagnostic algorithm that combines affordable laboratory tools and a ...
A New Artificial Immune System Based on Continuous Learning for Pattern Recognition
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2020)