Results 61 to 70 of about 10,239,397 (160)

Misbehavior Detection Based on Support Vector Machine and Dempster-Shafer Theory of Evidence in VANETs

open access: yesIEEE Access, 2018
Vehicular ad hoc networks (VANETs) support safety and comfortable driving through frequent information exchange among intelligent vehicles. As an open access environment, VANETs are vulnerable to security threats, such as electronic attack and privacy ...
Chunhua Zhang   +3 more
doaj   +1 more source

Synthetic database of space objects encounter events subject to epistemic uncertainty

open access: yesData in Brief, 2020
The databases included on this article refers to variables and parameters belonging to the Space Traffic Management (STM), Evidence Theory and Machine Learning (ML) fields.
Luis Sánchez, Massimiliano Vasile
doaj   +1 more source

Reliability Analysis Based on Aleatory and Epistemic Uncertainty Using Binary Decision Diagrams

open access: yesInternational Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.
The development of a mathematical model is an important step in reliability analysis. However, initial data are often not clearly defined, and some necessary information about the system’s behavior may be missing. Most mathematical models in reliability analysis primarily address aleatory uncertainty.
Elena Zaitseva   +2 more
wiley   +1 more source

Fusion of GIS, remote sensing, geophysics and Dempster Shafer theory of evidence for mapping groundwater prospectivity: A case study of the central parts of Lagos State, Nigeria

open access: yesSolid Earth Sciences
Water utilization for different human activities is universally crucial, but it is not readily available for consumption in some areas, such as the central parts of Lagos State, Nigeria.
K.S. Ishola   +5 more
doaj   +1 more source

Dynamic Twitter friend grouping based on similarity, interaction, and trust to account for ever‐evolving relationships

open access: yesIET Communications, Volume 18, Issue 17, Page 1018-1048, October 2024.
The proposed study aims to enhance online privacy within social networking platforms by categorizing users into three trust levels (acquaintances, friends, close friends) based on engagement and trust. The method dynamically adjusts relationship status over time, considering past and present offenses, offering a more realistic simulation of real‐world ...
Nisha P. Shetty   +4 more
wiley   +1 more source

Multi-Hypotheses Tracking using the Dempster-Shafer Theory. Application to ambiguous road context. [PDF]

open access: yes, 2016
This paper presents a Multi-Hypotheses Tracking (MHT) approach that allows solving ambiguities that arise with previous methods of associating targets and tracks within a highly volatile vehicular environment.
DEMMEL, Sébastien   +3 more
core   +1 more source

Non-exclusive hypotheses in Dempster–Shafer Theory [PDF]

open access: yes, 2012
This paper studies the relations which exist between Dempster–Shafer Theory and one of its extensions which considers frames of discernment with non-exclusive hypotheses.
Laurence Cholvy, Cholvy, Laurence
core   +1 more source

Toward a Dempster-Shafer theory of concepts [PDF]

open access: yes, 2020
In this paper, we generalize the basic notions and results of Dempster-Shafer theory from predicates to formal concepts. Results include the representation of conceptual belief functions as inner measures of suitable probability functions, and a Dempster-
Tzimoulis, A.   +14 more
core   +2 more sources

Paradox Elimination in Dempster–Shafer Combination Rule with Novel Entropy Function: Application in Decision-Level Multi-Sensor Fusion

open access: yesSensors, 2019
Multi-sensor data fusion technology in an important tool in building decision-making applications. Modified Dempster−Shafer (DS) evidence theory can handle conflicting sensor inputs and can be applied without any prior information.
Md Nazmuzzaman Khan, Sohel Anwar
doaj   +1 more source

Rating the Significance of Detected Network Events [PDF]

open access: yes, 2014
Existing anomaly detection systems do not reliably produce accurate severity ratings for detected network events, which results in network operators wasting a large amount of time and effort in investigating false alarms.
Mungro, Meenakshee
core  

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