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 …

Particle swarm optimization (PSO) is one of the most popular population-based stochastic
algorithms for solving complex optimization problems. While PSO is simple and effective, it is …

Recently, we introduced a method based on Bruggeman homogenization formalism in
assistance with particle swarm optimization (PSO) to predict the optimized structure of the …

This paper proposes an approach to accurately estimate the impedance value of a high
impedance fault (HIF) and the distance from its fault location for a distribution system. Based …

The global alignment of biological networks (GABN) aims to find an optimal alignment
between proteins across species, such that both the biological structures and the topological …

The alignment of protein–protein interaction (PPI) networks is in the spotlight of the research
in bioinformatics. The main goal is to find structural or functional complexes that are …

The alignment of protein networks between different species has become a topic of
considerable interest in recent years. To perform such alignments between two protein …

The main challenge of biological network alignment is that the problem of finding the
alignments in two graphs is NP-hard. The discovery of protein-protein interaction (PPI) …

In this paper, we optimize the spectrum efficiency (SE) of uplink massive multiple-input
multiple-output (MIMO) system with imperfect channel state information (CSI) over Rayleigh …

Wearable intelligent systems that recognize the daily activities of humans have significantly
contributed to many useful applications. However, in practical wearable applications, the …