Results 51 to 60 of about 375 (168)
ABSTRACT We propose a dynamic optimization framework for Medical Oxygen Supply Chains (MOSCs) operating under concurrent disasters. The framework aims to minimize both the total response and transportation time, as well as the total operational cost. These goals are subject to constraints involving evacuation, capacity, maintenance, and inventory.
Saptadeep Biswas +6 more
wiley +1 more source
This paper proposes a novel image steganographic method based on an enhanced Pyramid Integer Wavelet Transform (PIWT) combined with a Modified Optimal Pixel Adjustment Process (MOPAP). The PIWT enables integer‐to‐integer transformation, avoiding floating‐point computations and improving its suitability for efficient implementation.
Ali Yahya Al‐Ashwal +2 more
wiley +1 more source
Glioma segmentation from multimodal MRI is challenging due to tumour heterogeneity and imaging noise. To address this, we propose AIRP‐UNet, an asymmetric hybrid network that integrates an attention‐guided inverted residual decoder and a pyramid pooling module to selectively focus on tumour regions and capture multi‐scale context.
Chunhui Shu +3 more
wiley +1 more source
A Decision‐Making Problem for Smartphone Selection Using Neutrosophic Distance Measures
A neutrosophic distance measure using average functions is defined, and the metric axioms are verified by discussing its properties on a neutrosophic structure. Further, the similarity measure’s axioms are also derived for the complement of the proposed distance measure.
M. Arockia Dasan +5 more
wiley +1 more source
A linear Diophantine Z‐number Aczel–Alsina t‐norm operator is implemented for solving a linear Diophantine Z‐number problem, along with explaining its reliability, along with the solution derived. Some basic mathematical characteristics of the introduced operator, such as monotonicity, boundedness, and homogeneity, are rigorously deduced mathematically
Muhammad Umar Mirza +4 more
wiley +1 more source
Irregular Pythagorean Neutrosophic Graphs [PDF]
Pythagorean Neutrosophic Fuzzy Graphs integrate the concepts of Pythagorean neutrosophic sets and graph theory to effectively represent imprecise, inconsistent, and vague information inherent in many real-world problems.
P. Chellamani, D. Ajay
doaj +1 more source
Contact Graphs in Fuzzy and Neutrosophic Graphs
Graph Theory is a branch of mathematics dedicated to studying graphs, which depict relationships between objects through vertices and edges. A significant focus in this field is the study of contact graphs, where vertices correspond to sets, and edges represent intersections between those sets.
openaire +1 more source
In this outlet, a journey amid three models are designed. Graphs, fuzzy graphs and neutrosophic graphs are three models which form main parts. Assigning one specific number with some conditions to vertices and edges of graphs make them to be titled as fuzzy graphs and assigning three specific numbers with some conditions to vertices and edges of graphs
openaire +2 more sources
On the Double of the Laplace–Mayan Transformation and Its Properties With Applications
In this study, we have been able to extend the concept of a Mayan integral transform for a one‐dimensional Mayan integral transform to a two dimensional, also called the double Laplace–Mayan integral transform. Some key concepts, definitions, and theorems for the double Laplace–Mayan transform have also been defined in this study.
Eman A. Mansour +5 more
wiley +1 more source
Permutation Graphs in Fuzzy and Neutrosophic Graphs
Graph theory is a fundamental branch of mathematics that examines networks composed of nodes (vertices) and connections (edges). This paper explores the concepts of permutation graphs within the frameworks of fuzzy, intuitionistic fuzzy, neutrosophic, and Turiyam Neutrosophic graphs, all of which handle uncertainty in graph structures.
openaire +1 more source

