The purpose of community detection in complex networks is to identify the structural location
of nodes. Complex network methods are usually graphical, with graph nodes representing …

The COVID-19 is one of the most significant obstacles that humanity is now facing. The use
of computed tomography (CT) images is one method that can be utilized to recognize …

Fog computing paradigm provides diverse processing resources and storage close to the
edge of Internet of Things (IoT) networks. Workflow scheduling is an open issue in fog …

Abstract Moth Flame Optimization (MFO) is a nature-inspired optimization algorithm, based
on the principle of navigation technique of moth toward moon. Due to less parameter and …

Thermal-aware routing protocols in WBANs consider temperature factors in the routing
process for preventing overheating of the tissues surrounding the sensor nodes. However …

Employing Reconfigurable Intelligent Surface (RIS) is an advanced strategy to enhance the
efficiency of wireless communication systems. However, the number and positions of the …

Psychological disorders, notably social anxiety and depression, exert detrimental effects on
university students, impeding academic achievement and overall development. Timely …

This paper presents the development of the Success-Based Optimization Algorithm (SBOA),
a novel metaheuristic inspired by success attribution theory, designed to address complex …

In the context of increasing data scale, contemporary optimization algorithms struggle with
cost and complexity in addressing the feature selection (FS) problem. This paper introduces …

For the simultaneous optimization of many conflicting objectives, the capability of
optimization algorithms must be increased. In this research, a non-dominated sorting (NDS) …