Results 101 to 110 of about 16,160 (185)
Introduction To Neutrosophic Measure, Neutrosophic Integral, And Neutrosophic Probability
, 2011 Neutrosophic Science means development and applications of neutrosophic logic/set/measure/integral/probability etc. and their applications in any field.
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New Mathematics and Natural Computation, 2017 The aim of this paper is to extend the concept of cubic sets to the neutrosophic sets. The notions of truth-internal (indeterminacy-internal, falsity-internal) neutrosophic cubic sets and truth-external (indeterminacy-external, falsity-external) neutrosophic cubic sets are introduced, and related properties are investigated.
Jun, Young Bae +2 more
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Engineering Reports, Volume 7, Issue 2, February 2025.The Flow chart represents a model for the selection of optimized diagnostic approach for cardio vascular diseases. This novel model follows the concept of computational process incorporated with novel aggregation operators that are more flexible in nature.
M. Ameer +3 more
wiley +1 more source
Breaking barriers toward a net‐zero economy
Natural 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
NAHP: Neutrosophic Hierarchical Analysis for Pest Prioritization in Plantain Cultivation [PDF]
Neutrosophic Sets and SystemsThe following study addresses the impact of pests on plantain cultivation, recognizing them as a critical factor for both sustainability and productivity.
Marely del Rosario Cruz Felipe +2 more
doaj
, 2011 This book has seven chapters. In chapter one we give the basics needed to make this book a self contained one. Chapter two introduces the notion of interval semigroups and interval semifields and are algebraically analysed.
Kandasamy, W. B. Vasantha +1 more
core
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
Neutrosophic Cybersecurity Intelligence for Self-Healing Cellular Networks [PDF]
Neutrosophic Sets and SystemsSelf-healing cellular networks must detect faults and attacks, decide under uncertainty, and act without human supervision. We introduce a compact neutrosophic decision layer that represents each time window by a triple (T, I, F): evidence of harm (T ...
Salma A. Walli, Hossam Reda Mohamed
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Optimising Internet of Things (IoT) Performance Through Cloud, Fog and Edge Computing Architecture
IET Wireless Sensor Systems, Volume 15, Issue 1, January/December 2025.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
Improving Classification in Support Vector Machine Using Neutrosophic Logic [PDF]
Neutrosophic Sets and SystemsSupport Vector Machine (SVM) is considered one of the most effective methods for classification tasks. However, randomness in classifying observations on the optimal separating hyperplane decision — which are often indeterminate in their class membership
Hiba Habbak +2 more
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