The immune system is a remarkable and complex natural system, which has been shown to be of interest to computer scientists and engineers alike. This paper reports an on-going investigation into the usefulness of the negative selection metaphor for immune inspired fault tolerance. Various procedures to generate detectors for the negative selection algorithm are reviewed and compared in terms of...

How to detect computer malicious executables is an important research direction of computer security, especially, unknown malicious executables and new variants. Inspired by biological immune systems, a based on real-valued negative selection algorithm approach to detect malicious executables is proposed in this paper, which is referred to MEDRNS. In order to avoid detectors covering self space...

the objective of this study was to classify the shoosh aquifer to several zones with different water quality in khuzestan province, iran. in this regard, the performance of classification methods (discriminant function and cluster analysis) for the classification of groundwater based on the level of pollution with an emphasis on the problem of over-fitting in training data were considered. an o...

Satisfiability modulo theories (SMT) solvers implement a wide range of optimizations that are often tailored to particular class problems, and differ significantly between solvers. As result, one solver may solve query quickly while another might be flummoxed completely. Predicting the performance given is difficult for users SMT-driven applications, particularly when problems they have do not ...

Background: The immunomagnetic separation technique is the basis of monocyte isolation and further generation of monocyte-derived dendritic cells. Objective: To compare the efficiency of monocyte positive and negative separation, concentration of beads, and their impact on generated dendritic cells. Methods: Monocytes were obtained using monoclonal antibody-coated magnetic beads followed the Fi...