Results 91 to 100 of about 6,074,672 (245)
In the epoch of the Internet of Things (IoT), we have confronted five challenges (Connectivity, Value, Security, Telepresence, and Intelligence) with complex structures.
Xindong Peng
semanticscholar +1 more source
Breaking barriers toward a net‐zero economy
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
Anomaly Detection in an Open Set Environment Using Reinforcement Learning
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
Optimising Internet of Things (IoT) Performance Through Cloud, Fog and Edge Computing Architecture
This review examines the integration of IoT with cloud, fog, and edge computing, highlighting their collective potential to enhance scalability, reduce latency, and improve computational efficiency. Whereas cloud computing offers scalable processing, fog and edge computing mitigate latency issues, improving response times by up to 40% and 30 ...
Shams Forruque Ahmed +5 more
wiley +1 more source
NS-k-NN: Neutrosophic Set-Based k-Nearest Neighbors Classifier
k-nearest neighbors (k-NN), which is known to be a simple and efficient approach, is a non-parametric supervised classifier. It aims to determine the class label of an unknown sample by its k-nearest neighbors that are stored in a training set.
Yaman Akbulut +3 more
semanticscholar +1 more source
The Role of Generalized β−J Contraction Mappings in Neutrosophic Metric Spaces and Its Applications
In this study, we have introduced the neutrosophic generalized β−J contraction as a generalization of the neutrosophic J‐contraction with admissible mappings. Sufficient conditions for the existence and uniqueness of the fixed points for a neutrosophic generalized β−J contraction are derived in complete strong neutrosophic metric spaces (SNMSs).
M. Pandiselvi +3 more
wiley +1 more source
Fermatean neutrosophic rough set [PDF]
In order to balance uncertainty, a reasonable approximation of a crisp set that yields lower as well as upper approximations of the set is made. Here, first, a special class of Fermatean Neutrosophic Set is devised by associating the Neutrosophic Set ...
S Bhuvaneshwari +2 more
doaj +1 more source
Neutrosophic Crisp Open Set and Neutrosophic Crisp Continuity via Neutrosophic Crisp Ideals [PDF]
The focus of this paper is to propose a new notion of neutrosophic crisp sets via neutrosophic crisp ideals and to study some basic operations and results in neutrosophic crisp topological spaces. Also, neutrosophic crisp L-openness and neutrosophic crisp L- continuity are considered as a generalizations for a crisp and fuzzy concepts.
A. A. Salama +2 more
openaire +1 more source
Fixed Point Results for Geraghty Type Contraction Mapping in Neutrosophic b‐Metric Spaces
In this article, we introduce the C‐triangular property and develop a new class of Geraghty‐type contractions within the framework of neutrosophic b‐metric spaces. These tools allow us to derive several new fixed point theorems that not only generalize the classical results but also provide a unified approach to various existing contraction principles.
M. Pandiselvi +3 more
wiley +1 more source
Short Introduction to Standard and NonStandard Neutrosophic Set and Logic (review paper) [PDF]
The definitions of Single-Valued Neutrosophic Set (SVNS), Interval-Valued Neutrosophic Set (IVNS), Subset-Valued Neutrosophic Set (SVNS), and respectively NonStandard Neutrosophic Set [Single-Valued (NoS SVNS), Interval-Valued (NoS IVNS), and Subset ...
Florentin Smarandache
doaj +1 more source

