Results 61 to 70 of about 1,330 (179)

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

Intelligent algorithm for trapezoidal interval valued neutrosophic network analysis

CAAI Transactions on Intelligence Technology, 2020
The shortest path problem has been one of the most fundamental practical problems in network analysis. One of the good algorithms is Bellman-Ford, which has been applied in network, for the last some years.
Said Broumi, Deivanayagampillai Nagarajan, Malayalan Lathamaheswari, Mohamed Talea, Assia Bakali, Florentin Smarandache   +5 more
doaj   +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

Heptagonal Neutrosophic Quotient Mappings [PDF]

Neutrosophic Sets and Systems
In 2023, [6] Kungumaraj et al. presented the Heptagonal Neurosophic Number and Heptagonal Neurosophic Topology. Heptagonal neutrosophic numbers are essential because they provide a powerful tool for representing and managing uncertainty in decision ...
Subasree R, BasariKodi K, Saeid Jafari, Subramanian K   +3 more
doaj   +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

Optimising Wave Energy Plant Location Through Neutrosophic Multi‐Criteria Group Decision‐Making

CAAI Transactions on Intelligence Technology, Volume 11, Issue 1, Page 167-189, February 2026.
ABSTRACT The global shift towards sustainable energy has intensified research into renewable sources, particularly wave energy. Pakistan, with its long coastline, holds significant potential for wave energy development. However, identifying optimal locations for wave energy plants involves evaluating complex, multi‐faceted criteria.
Hafiz Muhammad Athar Farid, Ayesha Razzaq, Muhammad Riaz, Tapan Senapati, Sarbast Moslem   +4 more
wiley   +1 more source

A Novel Image Steganographic Method Based on Enhanced PIWT and Modified Optimal Pixel Adjustment Process

IET Image Processing, Volume 20, Issue 1, January/December 2026.
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, Waled Hussein Al‐Arashi, Mohammed Mohsen Alkhawlani   +2 more
wiley   +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

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

Big Data and Innovation: The State of the Art and Future Research Directions

R&D Management, Volume 56, Issue 1, Page 3-36, January 2026.
ABSTRACT Companies are increasingly aware of the benefits that can come from using big data. Of the various ways firms can make use of big data, in our research we have focused specifically on its use for innovation. As there are still many aspects that need to be clarified in this respect, our study addresses the following research question: how can ...
Francesco Cappa, Chiara Acciarini, Raffaele Oriani, Paolo Boccardelli   +3 more
wiley   +1 more source