The negative selection algorithm (NSA) is one of the important methods in the field of
immunological computation (or artificial immune systems). Over the years, some progress …

Identifying structural damage is an essential task for ensuring the safety and functionality of
civil, mechanical, and aerospace structures. In this study, the structural damage identification …

A negative selection algorithm generates detectors to realize abnormality detection by
simulating the maturation process of T cells in human immunity. Holes are areas of feature …

Negative selection algorithms play an important role in anomaly detection. Interface
detectors are a special negative selection algorithm that completely eliminates outer holes …

Even small damages in engineered systems can endanger the users or lead to significant
economic costs. The detection of damage existence is only the first task within the Damage …

Civil infrastructure relies heavily on structural health monitoring systems. However, these
systems often encounter challenges due to sensor failures and environmental damage …

Negative selection algorithm is the core algorithm of artificial immune system. It only uses
the self for training and generates detectors to detect abnormalities. Holes are feature space …

In Databases, the most prevalent cause of data breaches comes from insiders who misuse
their account privileges. Due to the difficulty of discovering such breaches, an adaptive …

Vibration-based damage identification methods have been explored in several engineering
fields. However, the effective damage-sensitivity of vibration-based features and the balance …

In order to solve the problem that is difficult to extract the fault data of bearing of pumping
unit in operation, a negative selection algorithm based on extension theory is proposed to …