Results 51 to 60 of about 3,994,529 (125)

Triple Lacunary ∆-Statistical Convergence in Neutrosophic Normed Spaces [PDF]

, 2022
The aim of this article is to investigate triple lacunary ?-statistically convergent and triple lacunary ?-statistically Cauchy sequences in a neutrosophic normed space (NNS).
Gürdal, Verda, Kişi, Ömer
core   +1 more source

A spectral analysis extension to DEMATEL for strategic leverage points identification

International Transactions in Operational Research, EarlyView.
Abstract Efforts to intervene in complex systems often emphasize influential factors, yet system behavior is equally shaped by the relationships among them. Methods such as Decision‐Making Trial and Evaluation Laboratory (DEMATEL) map causal structures but remain descriptive and do not identify which relationships provide the greatest leverage for ...
Pavlos Delias, Kerasia Kalkitsa
wiley   +1 more source

Fixed-Point Results in Neutrosophic Normed Spaces

Trans. Fuzzy Sets Syst.
This paper investigates fixed-point theorems within the framework of neutrosophic normed spaces. We provide a novel proof of the Banach Contraction Principle, offering fresh insights into its applicability in neutrosophic environments. Additionally, we extend both Caccioppoli’s and Kannan’s fixed-point theorems to neutrosophic linear spaces ...
Nirmal Sarkar, Jayanta Das, Ashoke Das
openaire   +2 more sources

Tauberian theorems for Cesàro summability in neutrosophic normed spaces

Filomat, 2023
In this paper, we introduce the concepts of Ces?ro summability and Tauberian theorem in neutrosophic normed spaces. We study that Ces?ro summability in neutrosophic norm space does not imply ordinary convergence, and we give an example in support of our statement.
Vakeel Khan, Mohd Faisal
openaire   +1 more source

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

A Hybrid Probabilistic-Neutrosophic Adaptive Convergence Model for Analyzing Innovative Performance of Agricultural Technology Enterprises in the Digital Economy [PDF]

Neutrosophic Sets and Systems
This paper introduces a novel mathematical framework that integrates hybrid probabilistic-neutrosophic logic with adaptive rough ideal statistical convergence (AR-I st) to model and analyze the dynamic performance of innovative agricultural technology ...
Hongyan Xie
doaj   +1 more source

Retinal disease classification from OCT images using EfficientNetB3 with neutrosophic similarity score enhancement

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

Exploring Topological characteristics of Neutrosophic Banach Spaces [PDF]

Neutrosophic Sets and Systems
The open mapping theorem, the closed graph theorem, and other topological characteristics of neurosophic Banach spaces are examined in this paper. Moreover, in neutrosophic normed spaces, the closedness characteristics of the sum of two linear operators ...
Pandiselvi. M, Jeyaraman. M
doaj   +1 more source

Cesàro Statistical Convergence on Neutrosophic Normed Spaces

Turkish Journal of Mathematics and Computer Science, 2022
Cesàro statistical convergence in neutrosophic normed spaces is investigated in this research. Additionally, in this study, we concentrate at several features of Cesàro statistical convergence in NNS such as concepts of Cesàro statistically Cauchy, Cesàro statistically convergent neutrosophic normed Cauchy.
openaire   +2 more sources

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