The immune system is a remarkable information processing and self learning system that
offers inspiration to build artificial immune system (AIS). The field of AIS has obtained a …

Although the multi-layer perceptron (MLP) neural networks provide a lot of flexibility and
have proven useful and reliable in a wide range of classification and regression problems …

In recent years, with the emergence of big-data and high-throughput biological analyses,
massive biological data have been generated and accessed, and many heuristic and …

Research on multiobjective optimization (MO) becomes one of the hot points of intelligent
computation. Compared with evolutionary algorithm, the artificial immune system used for …

This paper presents an innovative feature engineering framework based on lattice structures
for the automated identification of Alzheimer's disease (AD) using electroencephalogram …

Simplified lattice models have played an important role in protein structure prediction and
protein folding problems. These models can be useful for an initial approximation of the …

Deep learning-based face recognition models are vulnerable to adversarial attacks. In
contrast to general noises, the presence of imperceptible adversarial noises can lead to …

Tumor detection using medical images plays a key role in medical practices. One challenge
in tumor detection is how to handle the nonlinear distribution of the real data. Owing to its …

Predicting the secondary structure of protein has been the focus of scientific research for
decades, but it remains to be a challenge in bioinformatics due to the increasing …

The human immune system has numerous properties that make it ripe for exploitation in the
computational domain, such as robustness and fault tolerance, and many different …