Results 61 to 70 of about 1,129,405 (164)
Engineering Reports, Volume 8, Issue 9, September 2026.Selecting build‐to‐suit telecom contractors is a high‐stakes decision shaped by vague expert judgments. This study develops an interval type‐3 fuzzy Analytic Hierarchy Process whose secondary credibility grade models uncertainty about the judgments themselves.
Leah‐Maria Ndokezi, Haryson Nyobuya
wiley +1 more source
Introduction to neutrosophic soft bitopological spaces
, 2021 In this study, the concept of neutrosophic soft bitopological space is defined and it is one of the few studies that have dealt with this concept. In addition, pairwise neutrosophic soft open (closed) set on neutrosophic soft bitopological spaces are ...
Dadas H., Demiralp S.
core +1 more source
Advanced Intelligent Systems, Volume 8, Issue 7, July 2026.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Sustainability in Healthcare: The Role of Digital Technologies for Improving Patient Engagement
Business Ethics, the Environment &Responsibility, Volume 35, Issue 3, Page 2227-2278, July 2026.ABSTRACT Sustainability in healthcare is getting considerable research attention as systems worldwide tend to balance environmental, social, and economic factors. In this context, digital technologies have demonstrated significant potential to enhance engagement among different consumer groups across various industries.
Francesco Schiavone +4 more
wiley +1 more source
Journal of Applied Clinical Medical Physics, Volume 27, Issue 5, May 2026.Abstract Purpose Automated classification of retinal diseases from optical coherence tomography (OCT) images plays a significant role in supporting early diagnosis and clinical decision‐making. In this study, a deep learning (DL) framework is developed by integrating a neutrosophic similarity score (NSS) with the EfficientNetB3 to improve image ...
Devi M, G. Hannah Grace
wiley +1 more source
Neutrosophic Sets and Systems, 2022 The simulation process depends on generating a series of random numbers subject to the uniform probability distribution in the interval [0, 1]. The generation of these numbers is starting from the cumulative distribution function of the uniform distribution.
Maissam Jdid +2 more
openaire +2 more sources
IET Collaborative Intelligent Manufacturing, Volume 8, Issue 1, January/December 2026.This paper proposes a robust multi‐criteria decision‐making framework that integrates circular q‐rung orthopair fuzzy sets (CqROFSs) with the CoCoFISO method to evaluate digital‐twin adoption strategies under uncertainty in smart manufacturing. The model effectively manages ambiguity, hesitation and conflicting criteria, enabling reliable ranking of 27
Asma Farhad +3 more
wiley +1 more source
Random Samples Generation from Neutrosophic Distributions Using the neutrostat Package in R [PDF]
Neutrosophic Sets and SystemsRandom sample generation plays a fundamental role in statistical simulation, model validation, and performance evaluation. In the context of neutrosophic statistics, where uncertainty, indeterminacy, and imprecision are explicitly modeled, generating ...
M. I. Khan +2 more
doaj +1 more source
A Neutrosophic Set‐Based Active Contour Model for Medical Image Segmentation
IET Image Processing, Volume 20, Issue 1, January/December 2026.We propose a neutrosophic set‐based active contour model for accurate and efficient segmentation of magnetic resonance (MR) and retinal images. By combining neutrosophic truth, falsity, and indeterminacy subsets with a Heaviside‐based level set formulation, the method robustly handles noise, intensity inhomogeneity, and weak edges.
Kazım Hanbay
wiley +1 more source
International Journal of Data Science and Analytics, 2023 Count data modeling's significance and its applicability to real-world occurrences have been emphasized in a number of research studies. The purpose of this work is to introduce a new one-parameter discrete distribution for the modeling of count datasets.
Muhammad Ahsan Ul Haq, Javeria Zafar
openaire +2 more sources