Metaheuristic algorithms have applicability in various fields where it is necessary to solve
optimization problems. It has been a common practice in this field for several years to …

Pulmonary hypertension (PH) is an uncommon yet severe condition characterized by
sustained elevation of blood pressure in the pulmonary arteries. The delaying treatment can …

Continuous ant colony optimization was a population-based heuristic search algorithm
inspired by the pathfinding behavior of ant colonies with a simple structure and few control …

Abstract Feature Subset Selection (FSS) is an NP-hard problem to remove redundant and
irrelevant features particularly from medical data, and it can be effectively addressed by …

Abstract Internet of Things (IoT) services and devices have raised numerous challenges
such as connectivity, computation, and security. Therefore, networks should provide and …

Recent growth in data dimensions presents challenges to data mining and machine
learning. A high-dimensional dataset consists of several features. Data may include …

Feature selection (FS) methods play essential roles in different machine learning
applications. Several FS methods have been developed; however, those FS methods that …

Abstract According to the World Health Organization, millions of infections and a lot of
deaths have been recorded worldwide since the emergence of the coronavirus disease …

Air pollution nowadays has seriously hindered the sustainable development. PM 2.5 greatly
affects air quality and human health, even facilitates virus transmission, making its …

In recent years, with the increasing demand for social production, engineering design
problems have gradually become more and more complex. Many novel and well-performing …