Results 71 to 80 of about 1,384 (184)

TRUST‐Net: Robust and Uncertainty‐Aware Work Mode Recognition of Multifunction Radar Under Non‐Ideal Pulse Sequences

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
We propose TRUST‐Net, a BiGRU–TCN framework that leverages robust PDW feature reconstruction and a Dirichlet‐based uncertainty‐aware module to significantly improve MFR work mode recognition accuracy. By providing calibrated confidence measures, it effectively handles ambiguous samples and avoids overconfident decisions.
Haoying Feng, Zixiang Zhou, Chuyi Liu, Jian Dong, Ping Lang, Xiongjun Fu   +5 more
wiley   +1 more source

Using the Dempster-Shafer Theory of Evidence to Rank Documents

Tsinghua Science and Technology, 2012
Multi-source information can be utilized collaboratively to improve the performance of information retrieval. To make full use of the document and collection information, this paper introduces a new information retrieval model that relies on the Dempster-
Jiuling Zhang, Beixing Deng, Xing Li
doaj   +1 more source

Automatic Updates of Transition Potential Matrices in Dempster-Shafer Networks Based on Evidence Inputs

Sensors, 2020
Sensor fusion is a topic central to aerospace engineering and is particularly applicable to unmanned aerial systems (UAS). Evidential Reasoning, also known as Dempster-Shafer theory, is used heavily in sensor fusion for detection classification.
Joel Dunham, Eric Johnson, Eric Feron, Brian German   +3 more
doaj   +1 more source

D numbers theory: a generalization of Dempster-Shafer evidence theory

CoRR, 2014
31 pages, 5 figures.
openaire   +2 more sources

Approximations for Decision Making in the Dempster-Shafer Theory of Evidence

CoRR, 2013
The computational complexity of reasoning within the Dempster-Shafer theory of evidence is one of the main points of criticism this formalism has to face. To overcome this difficulty various approximation algorithms have been suggested that aim at reducing the number of focal elements in the belief functions involved.
openaire   +3 more sources

Dempster-Shafer's Basic Probability Assignment Based on Fuzzy Membership Functions

ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2004
In this paper, an image segmentation method based on Dempster-Shafer evidence theory is proposed. Basic probability assignment (bpa) is estimated in unsupervised way using pixels fuzzy membership degrees derived from image histogram.
Abdel-Ouahab Boudraa, Ayachi Bentabet, Fabien Salzenstein   +2 more
doaj   +1 more source

Comprehensive model development based on Dempster-Shafer evidence theory for pollution source analysis in chemical parks. [PDF]

Heliyon, 2023
Bai X, Yang Y, Tian X, Wen P, Ma Z.
europepmc   +1 more source

D-S Evidence Fusion Method Based on High Conflict Correction [PDF]

Jisuanji gongcheng, 2018
Before using D-S(Dempster-Shafer) theory for evidence fusion,the extent of the conflict among evidences should be determined.Aiming at this problem,this paper proposes a conflict measure and correction method based on trust degree and false degree.It ...
MENG Yuanyuan,XU Liancheng,REN Min,WANG Yanfei
doaj  

A classifier-combined method for grading breast cancer based on Dempster-Shafer evidence theory. [PDF]

Quant Imaging Med Surg, 2023
Liu Z, Lin F, Huang J, Wu X, Wen J, Wang M, Ren Y, Wei X, Song X, Qin J, Lee EY, Shao D, Wang Y, Cheng X, Hu Z, Luo D, Zhang N.   +16 more
europepmc   +1 more source

UDF-3D: Uncertainty-Driven Decision-Level Fusion for Camera–LiDAR 3D Object Detection

Applied Sciences
Camera and LiDAR provide highly complementary information, and effective fusion of both modalities is desirable for 3D object detection. However, existing decision-level fusion methods mainly rely on the confidence of objects while neglecting the object ...
Chongyang Hu, Chuangye Di, Yanwei Liu
doaj   +1 more source