Results 61 to 70 of about 13,159 (226)

Supervised Swin Transformer‐Based Predictive Lithological Mapping and Uncertainty Quantification Using Aeromagnetic and Gravity Data

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Lithological mapping is essential for the exploration of critical minerals supporting energy transition and national defense. Although recent advancements have incorporated multi‐source data sets and leveraged machine learning and deep learning (DL) methods, lithological mapping continues to face significant challenges, such as data imbalance,
Liang Ding, Gilles Bellefleur, Olivier Boulanger, Phuong Vo   +3 more
wiley   +1 more source

Deep Learning and Dempster-Shafer Theory Based Insider Threat Detection

Journal on spesial topics in mobile networks and applications, 2020
Organizations’ own personnel now have a greater ability than ever before to misuse their access to critical organizational assets. Insider threat detection is a key component in identifying rare anomalies in context, which is a growing concern for many ...
Zhihong Tian, Wei Shi, Zhiyuan Tan, Jing Qiu, Yanbin Sun, Feng Jiang, Liu Yan   +6 more
semanticscholar   +1 more source

A new model for threat assessment in data fusion based on fuzzy evidence theory

IJAIN (International Journal of Advances in Intelligent Informatics), 2016
In this paper a new method for threat assessment is proposed based on Fuzzy Evidence Theory. The most widely classical and intelligent methods used for threat assessment systems will be Evidence or Dempster Shafer and Fuzzy Sets Theories.
Ehsan Azimirad, Javad Haddadnia
doaj   +1 more source

Particle filtering in the Dempster–Shafer theory

International Journal of Approximate Reasoning, 2011
AbstractThis paper derives a particle filter algorithm within the Dempster–Shafer framework. Particle filtering is a well-established Bayesian Monte Carlo technique for estimating the current state of a hidden Markov process using a fixed number of samples.
openaire   +1 more source

Ellipsoid‐Based Interval‐Type Uncertainty Model Updating Based on Riemannian Manifold and Gaussian Process Model

International Journal of Mechanical System Dynamics, Volume 6, Issue 1, Page 140-152, March 2026.
ABSTRACT Modern engineering systems require advanced uncertainty‐aware model updating methods that address parameter correlations beyond conventional interval analysis. This paper proposes a novel framework integrating Riemannian manifold theory with Gaussian Process Regression (GPR) for systems governed by Symmetric Positive‐Definite (SPD) matrix ...
Yanhe Tao, Qintao Guo, Jin Zhou, Cheng Yi   +3 more
wiley   +1 more source

UNCERTAINTY ASSESSMENT OF AIRCRAFT MAINTENANCE TIMES

Havacılık ve Uzay Teknolojileri Dergisi, 2009
This thesis demonstrates the use of the Dempster-Shafer Theory of evidence as a decision aid to specify maintenance time during wartime operations, by the help of expert judgment elicitation. This more precise time estimation enables the decision maker
Hüseyin Kudak , Sami Ercan
doaj  

Sistem Pakar Inklusif: Diagnosis Kesulitan Belajar Siswa dengan Teori Dempster-Shafer

Edumatic
Learning difficulties are complex issues in education that require early diagnosis to support effective and inclusive learning. This study aims to develop a web-based expert system using the Dempster–Shafer theory to diagnose students’ learning ...
Sri Rahayu Ningsih, Rohminatin Rohminatin, Rizaldi Rizaldi   +2 more
doaj   +1 more source

Blockchain and Digital Technologies in the Telecommunications Industry

Thunderbird International Business Review, Volume 68, Issue 2, Page 139-163, March/April 2026.
ABSTRACT This article examines how fourth industrial revolution (4IR) technologies, specifically blockchain and digital twin technologies, can be utilized to address the energy supply challenge and enhance the management of distributed telecom infrastructure assets in a research context.
Charles Okeyia, Nuno Marques de Almeida, Joe Amad‐Echendu, Simplice A. Asongu   +3 more
wiley   +1 more source

Fault Matters: Sensor Data Fusion for Detection of Faults using Dempster-Shafer Theory of Evidence in IoT-Based Applications [PDF]

Expert systems with applications, 2019
Fault detection in sensor nodes is a pertinent issue that has been an important area of research for a very long time. But it is not explored much as yet in the context of Internet of Things.
Nimisha Ghosh, R. Paul, Satyabrata Maity, Krishanu Maity, Sayantani Saha   +4 more
semanticscholar   +1 more source

Indistinguishability relations in Dempster–Shafer theory of evidence

International Journal of Approximate Reasoning, 2004
Each theory or model implicitly defines its inherent notion of equality for the objects in question. In turn, this equality, and its counterpart, the mathematical concept of equivalence, provides the basis on which to establish classification mechanisms for the domain at hand.
Hernandez, E, Recasens Ferrés, Jorge
openaire   +3 more sources