In order to deepen our understanding of the virus and help guide the creation of efficient
therapies, this study uses artificial intelligence tools to thoroughly explore the genetic …

Network biology, an interdisciplinary field at the intersection of computational and biological
sciences, is critical for deepening understanding of cellular functioning and disease. While …

This paper proposes a simulation study to solve the optimal allocation of the Battery Energy
Storage System (BESS) problem in distribution networks. The effect of BESS's installation in …

Graph embedding approaches have been attracting increasing attention in recent years
mainly due to their universal applicability. They convert network data into a vector space in …

In recent years, metaheuristic methods have shown remarkable efficacy in resolving
complex combinatorial challenges across a broad spectrum of fields. Nevertheless, the …

Bioinformatics is a subject that studies life phenomena by using mathematical and
information science theories and techniques. Its main tasks, such as DNA sequence …

At this time the effectiveness of the COVID-19 vaccines has been proven, and it is crucial to
carry out the complete vaccination of the population. Therefore, it is imperative to optimize …

Network alignment involves identifying corresponding nodes across multiple networks. The
majority of existing methods adhere to the assumption of consistency. However, due to …

In recent years, several population-based evolutionary and swarm algorithms have been
developed and used in the literature. This work introduces an improved Cultural Algorithm …

The exponential growth in protein-protein interaction network provides lots of opportunities
and challenges to identify un-annotated essential proteins and reveal functional modules …