Results 51 to 60 of about 466 (162)

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

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, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Ultra Neutrosophic Crisp Sets And Relations

, 2016
In this paper we present a new neutrosophic crisp family generated from the three components’ neutrosophic crisp sets presented by Salama [4]. The idea behind Salam’s neutrosophic crisp set was to classify the elements of a universe of discourse with respect to an event ”A” into three classes: one class contains those elements that are fully supportive
HEWAYDA ELGHAWALBY, A. A. SALAMA
openaire   +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, Federica Zeuli, Olga Grieva, Octavio Escobar, Fabian Bernhard   +4 more
wiley   +1 more source

Strategic Optimization of Medical Oxygen Supply Chains for Healthcare Response in Concurrent Multi‐Disaster Scenarios

Concurrency and Computation: Practice and Experience, Volume 38, Issue 8, April 2026.
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, Suraj Kumar, Fariba Goodarzian, Uttam Kumar Bera, Erfan Babaee Tirkolaee, Absalom El‐Shamir Ezugwu, Laith Abualigah   +6 more
wiley   +1 more source

AIRP‐UNet: A Multimodal Brain Tumour Segmentation Method Based on Attention‐Guided Inverted Residual Pyramid Network

IET Image Processing, Volume 20, Issue 1, January/December 2026.
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, Meiyu Liang, Li Yang, Jiao Ding   +3 more
wiley   +1 more source

A novel modified Khatter’s approach for solving Neutrosophic Data Envelopment Analysis

Croatian Operational Research Review, 2023
The evaluation of the performance of decision-making units (DMUs) that use comparable inputs to produce related outputs can be accomplished through a non-parametric linear programming (LP) technique called Data Envelopment Analysis (DEA).
Kshitish Kumar Mohanta, Deena Sunil Sharanappa, Abha Aggarwal   +2 more
doaj   +1 more source

Development of Linear Diophantine Fuzzy Z‐Number Aczel–Alsina Aggregation Operators and Their Use in a Hybrid MCDM Framework for Medical Diagnosis

International Journal of Mathematics and Mathematical Sciences, Volume 2026, Issue 1, 2026.
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, Rukhshanda Anjum, Rabia Ali, Teeda Njie, Fernando Bobillo   +4 more
wiley   +1 more source

A Neural Network‐Based Decision Framework Utilizing Large Language Models and Neutrosophic Sets for Sustainable Supplier Selection

International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
Sustainable supplier selection is a high‐impact decision problem in which organizations must jointly evaluate economic performance, environmental impact, and social responsibility under heterogeneous stakeholder preferences, asymmetric decision authority, and predominantly linguistic assessments. Conventional multiattribute group decision‐making (MAGDM)
Amirhossein Nafei, Zhi Li, S. Pourmohammad Azizi, Richard Murray   +3 more
wiley   +1 more source

Enhancing Artificial Intelligence With (p,  q)‐Fractional Fuzzy Decision Model Using Aczel–Alsina Operators

International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
Cybersecurity tools are essential components in maintaining the security and integrity of information technology infrastructures. These tools shape themselves to prevent, detect, and respond to various security breaches, confirming the protection, confidentiality, and accessibility of data.
Saifullah, Saleem Abdullah, Marya Nawaz, Saeed Ullah, Hameed Gul Ahmadzai, Kallol Mohanta   +5 more
wiley   +1 more source

Standard Neutrosophic Soft Theory: Some First Results [PDF]

Neutrosophic Sets and Systems, 2016
The traditional soft set is a mapping from a parameter set to family of all crisp subsets of a universe. Molodtsov introduced the soft set as a generalized tool for modelling complex systems involving uncertain or not clearly defined objects.
Bui Cong Cuong , Pham Hong Phong, Florentin Smarandache   +2 more
doaj