Results 21 to 30 of about 1,084 (137)

A Convolutional Neural Network model based on Neutrosophy for Noisy Speech Recognition

open access: yes, 2019
Convolutional neural networks are sensitive to unknown noisy condition in the test phase and so their performance degrades for the noisy data classification task including noisy speech recognition.
Akbari, Ahmad   +2 more
core   +1 more source

Introduction to Neutrosophic Statistics [PDF]

open access: yes, 2014
Neutrosophic Statistics means statistical analysis of population or sample that has indeterminate (imprecise, ambiguous, vague, incomplete, unknown) data.
Smarandache, Florentin
core   +3 more sources

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

open access: yes, 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).
Aggarwal, Abha   +2 more
core   +2 more sources

An Interval‐Valued Fermatean Neutrosophic Framework for Sustainable Transportation Under Uncertainty

open access: yesJournal of Mathematics, Volume 2026, Issue 1, 2026.
Transportation planning is facing heightened complexity because the dynamic parameters influenced by globalization and unpredictable technological disruptions. Traditional models are not capable to handle interval‐based uncertainties related to supply, demand, and costs, especially as the scale of suppliers and customers expands.
Muhammad Kamran   +4 more
wiley   +1 more source

A Comprehensive Study on Exact and Numerical Methods for Solving the Neutrosophic Fuzzy Advection–Diffusion Equation

open access: yesJournal of Mathematics, Volume 2026, Issue 1, 2026.
In this article, an in‐depth study of the advection–diffusion equation in a neutrosophic fuzzy environment is discussed for the first time in the literature, including truth (T), indeterminacy (I), and falsehood (F) fuzzy components. Furthermore, analytical and numerical methods that are Galilean transformation and explicit finite difference methods ...
Hamzeh Zureigat   +4 more
wiley   +1 more source

Semi-Compact and Semi-Lindelӧf Spaces via Neutrosophic Crisp Set Theory [PDF]

open access: yes
The aim of this paper is devoted to introduce and study the concepts of semi-compact (resp. semi-Lindelӧf, locally semi-compact) spaces in a neutrosophic crisp topological space. Several properties, functions properties of neutrosophic crisp semi-compact
A.A. Salama, I.M.Hanafy, M. S. Dabash
core   +1 more source

Pathways to a Sustainable Blue Economy: Exploring Its Barriers in an Emerging Economy

open access: yesBusiness Strategy and the Environment, Volume 34, Issue 5, Page 6095-6110, July 2025.
ABSTRACT A sustainable blue economy is primarily intended for responsible consumption of ocean resources, achieving economic growth, and strengthening the overall ecosystem. The roots of the blue economy are embedded in sustainable development, exploiting opportunities for economic welfare and growth, simultaneously focusing on conserving marine health.
Koppiahraj Karuppiah   +2 more
wiley   +1 more source

Breaking barriers toward a net‐zero economy

open access: yesNatural Resources Forum, Volume 49, Issue 1, Page 138-159, February 2025.
Abstract Following The Paris Agreement and United Nations Sustainable Development Goals (SDGs), a significant number of nations globally have pledged to achieve net‐zero emissions by 2050. The goal is to lower emissions while emphasizing economically and socially sustainable practices.
Rajan Kumar Gangadhari   +2 more
wiley   +1 more source

Neutrality and Many-Valued Logics [PDF]

open access: yes, 2007
In this book, we consider various many-valued logics: standard, linear, hyperbolic, parabolic, non-Archimedean, p-adic, interval, neutrosophic, etc. We survey also results which show the tree different proof-theoretic frameworks for many-valued logics, e.
Schumann, Andrew, Smarandache, Florentin
core   +2 more sources

Anomaly Detection in an Open Set Environment Using Reinforcement Learning

open access: yesIET Information Security, Volume 2025, Issue 1, 2025.
In this research, we attempt to develop unknown anomaly detection models using a large‐scale unlabeled dataset and a limited number of partially labeled anomalies, addressing an important but mostly unsolved anomaly detection problem. This is a common situation in many important applications.
Dharani Kanta Roy   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy