Millions of humans worldwide have been impacted by consecutive COVID-19 waves during
the past three years. The correct treatment for COVID-19 has not yet been identified because …

Software malware detection and classification leverage sophisticated procedures and
methods from the cybersecurity domain for identifying and categorizing malicious software …

This research proposes the idea of implementing an innovative mechanism to detect the
edges in distinct MR brain medical images based on the aspect of Neutrosophic sets (NSs) …

Medical diagnosis often relies on intricate relationships between symptoms, diseases, and
patient data. Traditional methods struggle to account for the inherent uncertainties and …

This paper presents a neutrosophic inference model for bioinformatics. The model is used to
develop a system for accurate comparisons of human nucleic acids, where the new nucleic …

In this paper, we introduce and study the NeutroAlgebra structure and many of operations
and properties of the mathematical morphology. This is a generalization of the operations of …

With the increasing strain on the health system, there is a growing need for automatic
medical image diagnosis. Emerging technologies for medical diagnosis can help to achieve …

Educational institutions face inherent uncertainties in student performance, stakeholder
priorities, and data analysis. This paper explores how cloud computing, with its data storage …

This study proposes a method to improve the security of decentralized mobile networks
using Neutrosophic Fuzzy Local Function Algorithms D*, B*, and A* to optimize the decision …

The global pandemic of coronavirus disease 2019 (COVID-19) causes severe respiratory
problems in humans. The Chest X-ray (CXR) imaging technique majorly assists in detecting …