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Early Bearing Fault Diagnosis in PMSMs Based on HO-VMD and Weighted Evidence Fusion of Current-Vibration Signals. [PDF]
Sensors (Basel)He X +5 more
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Marine diesel engine reliable intelligent fault diagnosis method based on the generalized multi-source information fusion. [PDF]
iScienceXie Z, Mo C, Jia B.
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Confidence-Aware Fusion Using Dempster-Shafer Theory for Multispectral Pedestrian Detection
IEEE transactions on multimedia, 2023Multispectral pedestrian detection is an important and valuable task in many applications, which could provide a more accurate and reliable pedestrian detection result by using the complementary visual information from color and thermal images.
Qing Li +4 more
semanticscholar +1 more source
Communications in Statistics - Theory and Methods, 2023
Dempster-Shafer theory (DST) has attracted wide attention in many fields thanks to its strong advantages over probability theory. Whereas the uncertainty measure of basic belief assignment (BBA) in DST is an open and essential problem.
Zhe Liu +3 more
semanticscholar +1 more source
Dempster-Shafer theory (DST) has attracted wide attention in many fields thanks to its strong advantages over probability theory. Whereas the uncertainty measure of basic belief assignment (BBA) in DST is an open and essential problem.
Zhe Liu +3 more
semanticscholar +1 more source
Engineering applications of artificial intelligence, 2021
Dempster–Shafer theory (DST) has extensive and important applications in information fusion. However, when the evidences are highly conflicting with each other, the Dempster’s combination rule often leads to a series of counter-intuitive results. In this
Hongfei Wang +3 more
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Dempster–Shafer theory (DST) has extensive and important applications in information fusion. However, when the evidences are highly conflicting with each other, the Dempster’s combination rule often leads to a series of counter-intuitive results. In this
Hongfei Wang +3 more
semanticscholar +1 more source
Information Sciences, 2021
The Dempster–Shafer (DS) theory of evidence can combine evidence with one parameter. The evidential reasoning (ER) approach is an extension of DS theory that can combine evidence with two parameters (weights and reliabilities).
Yuanwei Du, Jiaofei Zhong
semanticscholar +1 more source
The Dempster–Shafer (DS) theory of evidence can combine evidence with one parameter. The evidential reasoning (ER) approach is an extension of DS theory that can combine evidence with two parameters (weights and reliabilities).
Yuanwei Du, Jiaofei Zhong
semanticscholar +1 more source
International journal of imaging systems and technology (Print), 2021
Deep learning‐based applications for disease detection are essential tools for experts to effectively diagnose diseases at different stages. In this article, a new approach based on an evidence based fusion theory is proposed, allowing the combination of
Safa Ben Atitallah +4 more
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Deep learning‐based applications for disease detection are essential tools for experts to effectively diagnose diseases at different stages. In this article, a new approach based on an evidence based fusion theory is proposed, allowing the combination of
Safa Ben Atitallah +4 more
semanticscholar +1 more source
, 2020
Floods are one of the most widespread natural hazards occurring across the globe. The main objective of this study was to produce flood susceptibility maps for the province of Salzburg, Austria, using two multi-criteria decision analysis (MCDA) models ...
Thimmaiah Gudiyangada Nachappa +5 more
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Floods are one of the most widespread natural hazards occurring across the globe. The main objective of this study was to produce flood susceptibility maps for the province of Salzburg, Austria, using two multi-criteria decision analysis (MCDA) models ...
Thimmaiah Gudiyangada Nachappa +5 more
semanticscholar +1 more source
Deep PET/CT fusion with Dempster-Shafer theory for lymphoma segmentation
MLMI@MICCAI, 2021Lymphoma detection and segmentation from whole-body Positron Emission Tomography/Computed Tomography (PET/CT) volumes are crucial for surgical indication and radiotherapy.
Ling Huang +4 more
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A Matrix Method of Basic Belief Assignment's Negation in Dempster–Shafer Theory
IEEE transactions on fuzzy systems, 2020Negation is a new perspective to represent knowledge. The negation of probability distribution has been proposed, and it has a lot of interesting properties, which can reach a maximum entropy. Because of the defects of the classical probability theory in
Ziyuan Luo, Yong Deng
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