Feature selection (FS) methods can be used in data pre-processing to achieve efficient data
reduction. This is useful for finding accurate data models. Since exhaustive search for …

Cyber attack detection technology plays a vital role today, since cyber attacks have been
causing great harm and loss to organizations and individuals. Feature selection is a …

Drug repositioning is a new way of applying the existing therapeutics to new disease
indications. Due to the exorbitant cost and high failure rate in developing new drugs, the …

Abstract System modeling is a vital part of building energy optimization and control. Grey
and white box modeling requires knowledge about the system and a lot of human …

Clustering is a vital task in magnetic resonance imaging (MRI) brain imaging and plays an
important role in the reliability of brain disease detection, diagnosis, and effectiveness of the …

With the current increase in the number of online users, there has been a concomitant
increase in the amount of data shared online. Techniques for discovering knowledge from …

Antimicrobial peptides (AMPs) are a promising alternative to small-molecules-based
antibiotics. These peptides are part of most living organisms' innate defense system. In order …

Along with the fourth industrial revolution, research in the biomedical engineering field is
being actively conducted. Among these research fields, the brain–computer interface (BCI) …

The makeup of human microbiota has been linked to a number of autoimmune disorders.
Recent developments in whole metagenome sequencing and 16S rRNA sequencing …

Machine learning algorithms are used to discover complex nonlinear relationships in
biomedical data. However, sophisticated learning models becomes computationally …