Results 51 to 60 of about 10,239,397 (160)

Resisting bad mouth attack in vehicular platoon using node-centric weight-based trust management algorithm (NC-WTM)

open access: yesConnection Science, 2022
Individuals use Vehicular Ad Hoc Networks (VANETs) to secure, reliable communication networks as a viable route of transmission. Platooning uses Inter-Vehicular Communication to supervise a group of vehicles (IVC).
R. Priya, N. Sivakumar
doaj   +1 more source

Guidance on the use of read‐across for chemical safety assessment in food and feed

open access: yesEFSA Journal, Volume 23, Issue 7, July 2025.
Abstract Read‐across is a method used in chemical risk assessment to predict the toxicological properties of a target substance by using data from structurally and mechanistically similar substances, known as source substances. EFSA's Scientific Committee has developed an approach for using read‐across in food and feed risk assessment.
EFSA Scientific Committee   +26 more
wiley   +1 more source

Algorithms for dempster-shafer theory

open access: yes, 2000
The method of reasoning with uncertain information known as Dempster-Shafer theory arose from the reinterpretation and development of work of Arthur Dempster [Dempster, 67; 68] by Glenn Shafer in his book a mathematical theory of evidence [Shafer, 76 ...
Nic Wilson
core   +1 more source

Keypoint descriptor fusion with Dempster-Shafer Theory [PDF]

open access: yes, 2017
Keypoint matching is the task of accurately nding the location of a scene point in two images. Many keypoint descriptors have been proposed in the literature aiming at providing robustness against scale, translation and rotation transformations, each ...
Marín-Jiménez, M.J.   +4 more
core   +1 more source

An Extension to Deng’s Entropy in the Open World Assumption with an Application in Sensor Data Fusion

open access: yesSensors, 2018
Quantification of uncertain degree in the Dempster-Shafer evidence theory (DST) framework with belief entropy is still an open issue, even a blank field for the open world assumption.
Yongchuan Tang   +2 more
doaj   +1 more source

Reinforcing Cloud Attack Tolerance on a Large Scale: Advanced Blockchain Technologies With Hierarchical Risk and Smart Contracts

open access: yesIET Blockchain, Volume 5, Issue 1, January/December 2025.
We propose a blockchain‐based system to enhance cloud systems' resilience against distributed denial of service attacks. Our approach integrates a hierarchical risk‐based attack tolerance mechanism with smart contracts, dynamically estimating risks at local, cluster, and global levels using Dempster–Shafer theory. Simulations show improved availability,
Faiza Benmenzer   +2 more
wiley   +1 more source

The Dempster-Shafer theory of evidence: An alternative approach to multicriteria decision modeling

open access: yes, 2000
The objective of this paper is to describe the potential oered by the Dempster–Shafer theory (DST) of evidence as a promising improvement on ‘‘traditional’ ’ approaches to decision analysis.
Peter Morgan   +5 more
core   +1 more source

Expert System for Early Childhood Talent Detection Using Certainty Factor and Dempster Shafer Algorithms

open access: yesJournal of Information Systems and Informatics
Early life is a crucial window for recognizing children’s interests and talents that shape later development. This study implements and compares two reasoning algorithms—Certainty Factor (CF) and Dempster–Shafer Theory (DST)—within a rule-based expert ...
Supardi Supardi   +2 more
doaj   +1 more source

A Method of Detections’ Fusion for GNSS Anti-Spoofing

open access: yesSensors, 2016
The spoofing attack is one of the security threats of systems depending on the Global Navigation Satellite System (GNSS). There have been many GNSS spoofing detection methods, and each of them focuses on a characteristic of the GNSS signal or a ...
Huiqi Tao, Hong Li, Mingquan Lu
doaj   +1 more source

Distribution‐Matched Imputation for Incomplete Data Evidential Classification

open access: yesElectronics Letters, Volume 61, Issue 1, January/December 2025.
This paper introduces a novel distribution‐matched imputation (DMI) method that leverages evidential reasoning to address classification challenges in datasets with missing values, optimizing weights to minimize the inconsistency between training and test sets.
Qiong Hu   +5 more
wiley   +1 more source

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