Results 31 to 40 of about 122 (106)
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 +3 more
wiley +1 more source
On Covering Prosperities via Neutrosophic e‐Open Set in Neutrosophic Topological Space
Journal of Mathematics, Volume 2026, Issue 1, 2026.This research presents and explores a novel category of compactness in neutrosophic topological spaces (NTSs), termed neutrosophic e‐compact and neutrosophic locally e‐compact. This category is positioned within the frameworks of neutrosophic δ‐semicompactness and neutrosophic δ‐precompactness, while also encompassing neutrosophic β‐compactness.
Wadei Al-Omeri, Ammar Alsinai
wiley +1 more source
Pathways to a Sustainable Blue Economy: Exploring Its Barriers in an Emerging Economy
Business 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
Neutrosophic Systems with ApplicationsIn terms of heptagonal neutrosophic topological spaces, the purpose of this paper is to present the idea of heptagonal neutrosophic semi-open sets. Additionally, we examine a few of its characterizations and heptagonal neutrosophic semi-interior and heptagonal neutrosophic semi-closure operators.
Subasree R, BasariKodi K
openaire +1 more source
Anomaly Detection in an Open Set Environment Using Reinforcement Learning
IET 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
A Hybrid Convolutional Neural Network Model for the Classification of Multi‐Class Skin Cancer
International Journal of Imaging Systems and Technology, Volume 34, Issue 5, September 2024.ABSTRACT Skin cancer is a significant public health issue, making accurate and early diagnosis crucial. This study proposes a novel and efficient hybrid deep‐learning model for accurate skin cancer diagnosis. The model first employs DeepLabV3+ for precise segmentation of skin lesions in dermoscopic images.
Ahmet Nusret Toprak, Ibrahim Aruk
wiley +1 more source
Generalized Open Sets and Closure Operators via Point-to-Neighborhood Assignments
MathematicsWe equip a topological space (X,τ) with a function a:X→τ satisfying the single axiom x∈a(x). The resulting triple (X,τ,a), which we call an aura topological space, provides a point-to-open-set assignment that differs from all existing auxiliary ...
Ahu Açıkgöz
doaj +1 more source
Automated image segmentation method to analyse skeletal muscle cross section in exercise-induced regenerating myofibers. [PDF]
Sci Rep, 2021 Rahmati M, Rashno A.
europepmc +1 more source
Skin Lesion Analysis and Cancer Detection Based on Machine/Deep Learning Techniques: A Comprehensive Survey. [PDF]
Life (Basel), 2023 Zafar M +5 more
europepmc +1 more source
Edge-Driven Multi-Agent Reinforcement Learning: A Novel Approach to Ultrasound Breast Tumor Segmentation. [PDF]
Diagnostics (Basel), 2023 Karunanayake N, Moodleah S, Makhanov SS.
europepmc +1 more source