objectives in order to increase the classification accuracy of airs, this study introduces a new hybrid system that incorporates a support vector machine into airs for diagnosing tuberculosis. background tuberculosis (tb) is a major global health problem, which has been ranked as the second leading cause of death from an infectious disease worldwide. diagnosis based on cultured specimens is the...

Abstract This work presents the Opt-ID software developed by Rosalind Franklin Institute (RFI) and Diamond Light Source (DLS) in collaboration with Helmholtz-Zentrum Berlin (HZB). allows for efficient simulation of synchrotron Insertion Devices (ID) B fields produced a given arrangement candidate magnets. It provides an optimization framework built on Artificial Immune System (AIS) algorithm sw...

The mammalian acquired immune system is a robust and powerful information processing system that demonstrates features such as decentralised control, parallel processing, adaptation, and learning by experience. Artificial immune systems (AIS) are machine-learning algorithms that are imbued with some of the principles, and attempt to take advantage of some benefits of natural immune systems for ...

In this paper, some initial investigations are conducted to apply Artificial immune system(AIS) for classification of remotely sensed images. As a novel branch of computational intelligence, AIS has strong capabilities of pattern recognition, learning and associative memory, hence it is natural to view AIS as a powerful information processing and problem-solving paradigm in both the scientific ...

Recent years have seen a dramatic increase in the application of biologically-inspired algorithms to business problems. Applications of neural networks and evolutionary algorithms have become common. However, as yet there have been few applications of artificial immune systems (AIS), algorithms that are inspired by the workings of the natural immune system. The natural immune system can be cons...