Background Medical image processing has a strong footprint in radio diagnosis for the
detection of diseases from the images. Several computer-aided systems were researched in …

The Neutrosophic set (NS) has grasped concentration by its ability for handling
indeterminate, uncertain, incomplete, and inconsistent information encountered in daily life …

The purpose of this chapter is to present an overview of neutrosophic sets. Professor
Florentin Smarandache defined the neutrosophic set and helped popularize the concept to …

The concept of a neutrosophic set is an extension of a fuzzy set that uses indeterminacy.
Similarly, an intuitionistic set has an extension, which is known as a single-valued …

The main objective of this paper is to introduce the notion of single-valued bipolar
pentapartitioned neutrosophic set (SVBPNS). We also present some supporting examples …

As far world history is concerned, human being faced many problems like world war, terrorist
attack, bomb blasters, natural disasters and so on. But all these problems are visible and …

For an admissible ideal I⊆ P (N) and a lacunary sequence θ=(ks), the aim of the present
paper is to introduce the concept of I (S)-summability and I (Sθ)-summability wrt …

In this paper, the authors introduce lattice valued neutrosophic sets and study their
properties. A decomposition theorem for lattice valued neutrosophic sets is obtained. Lattice …

Deep learning can successfully extract data features based on dealing greatly with
nonlinear problems. Deep learning has the highest performance in medical image analysis …

Fourier transform is one of the oldest and well-known technique in the field of mathematics
and engineering mathematical works. As the concept of uncertainty has been introduced in …