As the big data generated by the development of modern experiments and computing
technology becomes more and more accessible, the material design method based on …

Cancer is a group of diseases causing abnormal cell growth, altering the genome, and
invading or spreading to other parts of the body. Among therapeutic peptide drugs …

Feature selection aims at finding the most relevant features of a problem domain. It is very
helpful in improving computational speed and prediction accuracy. However, identification of …

Objective (s): This study addresses feature selection for breast cancer diagnosis. The
present process uses a wrapper approach using GA-based on feature selection and PS …

Monitoring and evaluating ecological quality and changes are crucial for policy formulation
to guide ecosystem management and socioeconomic sustainable development. However …

In April 1981 Xerox announced the 8010 Star Information System, a new personal computer
designed for office professionals who create, analyze, and distribute information. The Star …

Motivation: Gene selection for cancer classification is one of the most important topics in the
biomedical field. However, microarray data pose a severe challenge for computational …

Abstract Machine learning (ML) is the most promising subset of artificial intelligence.
Quantum computing is prevalent for fast problem-solving approaches. The complex …

Feature selection is a fundamental problem in machine learning and data mining. How to
choose the most problem-related features from a set of collected features is essential. In this …

Features that have good predictive power for classes or output variables are useful features
and hence most feature selection methods try to find them. However, since there may be …