Results 51 to 60 of about 642 (182)

Improved neutrosophic exponential-ratio estimator of population mean with simple random sampling [PDF]

Neutrosophic Sets and Systems
In this paper we present a neutrosophic exponential-ratio estimator for calculating the population mean using simple random sampling. In sampling methods classical statistics always depends on exact and complete data, but when we are dealing with unclear
Bhatt Ravi Jitendrakumar, Ashish Kumar , Monika Saini   +2 more
doaj   +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

Analysis of Graeco-Latin square designs in the presence of uncertain data

Journal of Big Data
Objective This paper addresses the Graeco-Latin square design (GLSD) under neutrosophic statistics. In this work, we propose a novel approach for analyzing Graeco-Latin square designs using uncertain observations.
Abdulrahman AlAita, Muhammad Aslam, Khaled Al Sultan, Muhammad Saleem   +3 more
doaj   +1 more source

Neutrosophic $\mathcal{I}$-Statistical Convergence of a Sequence of Neutrosophic Random Variables In Probability

Universal Journal of Mathematics and Applications
This paper presents a novel perspective on established neutrosophic statistical convergence by utilizing ideals and proposing new ideas. Specifically, we explore the neutrosophic $\mathcal{I}$-statistical convergence of sequences of neutrosophic random variables (briefly, NRVs) in probability, as well as the neutrosophic $\mathcal{I}% $-lacunary ...
Granados, Carlos, Kişi, Ömer, Kişi, Ömer, Kişi, Ömer   +3 more
openaire   +4 more sources

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

Proceedings of the First International Conference on Neutrosophy, Neutrosophic Logic, Neutrosophic Set, Neutrosophic Probability and Statistics

, 2003
Papers on neutrosophy (a generalization of dialectics), on neutrosophic logic, set, probability and statistics (generalizations of fuzzy logic, fuzzy set, and imprecise probability respectively), by Florentin Smarandache, Jean Dezert, S. Bhattacharya, Andrzej Buller, M. Khoshnevisan, S. Singh, Feng Liu, Gh. C.
Smarandache, Florentin, Dezert, Jean, Bhattacharya, S., Buller, Andrzej, Khoshnevisan, M., Singh, S., Liu, Feng, Dinulescu-Campina, Gh. C., Lucas, Chris, Gershenson, C.   +9 more
openaire   +2 more sources

Neutrosophic Statistical Analysis of Arthrofibrosis of the Knee Rehabilitation

Neutrosophic Sets and Systems, 2021
This research aims at deepening the validation of knee arthrofibrosis rehabilitation techniques. It begins with a bibliographic review and an initial diagnosis that justifies the need to investigate these issues, and aspects that give consistency to them.
Sara Guerrón Enríquez, Zuly Ribel Nazate Chugá, Ruth Isabel Tavera, María Clemencia Villareal Gel, Darvin Manuel Ramírez Guerra   +4 more
openaire   +3 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

Neutrosophic regression type estimator for the finite population mean and its applications in real data scenarios

Frontiers in Applied Mathematics and Statistics
Research under classical statistics often relies on precise, determinate data to estimate population parameters. However, in certain situations, data may be indeterminate or imprecise.
Neha Purwar, Kaustav Aditya, B, Pankaj Das, Tauqueer Ahmad   +4 more
doaj   +1 more source

Monitoring Using X-Bar Control Chart Using Neutrosophic-Based Generalized Multiple Dependent State Sampling with Application

International Journal of Computational Intelligence Systems, 2022
In this article, an enhanced X-bar control chart using generalized multiple dependent state (GMDS) sampling under neutrosophic statistics is presented.
Nasrullah Khan, Liaquat Ahmad, Muhammad Aslam   +2 more
doaj   +1 more source