It is a fact that the world's population has increased twofold in the last 50 years, which has
meant that the availability of freshwater for all required activities, industrial use, agriculture …

In light of the emerging discourse on AI systems' effect on society, whose perception swings
widely between utopian and dystopian, we conduct herein a critical analysis of how artificial …

Abstract This paper improved Cuckoo Search Optimization (CSO) algorithm with a Genetic
Algorithm (GA) for community detection in complex networks. CSO algorithm has problems …

With recent advances in single-cell RNA sequencing, enormous transcriptome datasets
have been generated. These datasets have furthered our understanding of cellular …

Nature-inspired metaheuristics comprise a compelling family of optimization techniques.
These algorithms are designed with the idea of emulating some kind natural phenomena …

Archaeology has made significant advances in the last 20 years. This can be seen by the
remarkable increase in specialised literature on all archaeology-related disciplines. These …

All metaheuristic optimization algorithms require some initialization, and the initialization for
such optimizers is usually carried out randomly. However, initialization can have some …

The COVID-19 pandemic has triggered a global economic crisis and is leading multiple
local, regional, and national governments to increase public debt to unprecedented levels …

The research of dynamic community detection is becoming increasingly popular since it can
disclose how the community structures change over time in dynamic networks. Evolutionary …

Detecting groups within a set of interconnected nodes is a widely addressed problem that
can model a diversity of applications. Unfortunately, detecting the optimal partition of a …