Results 81 to 90 of about 13,159 (226)
Assessing the Usefulness of Assurance Cases: Experience With the Large Hadron Collider
ABSTRACT Assurance cases (ACs) are structured arguments designed to show that a system is sufficiently reliable to function properly in its operational environment. They are mandated by safety standards and are largely used in industry to support risk management for systems; however, ACs often contain proprietary information and are not publicly ...
Torin Viger +7 more
wiley +1 more source
Fault detection in an engine by fusing information from multivibration sensors
Fault detection based on the vibration signal of an engine is an effective non-disassembly method for engine diagnosis because a vibration signal includes a lot of information about the condition of the engine.
Ruili Zeng +4 more
doaj +1 more source
Multimodal Sentiment Recognition via Residual‐Contraction Convolution and Cross‐Attention
We propose a structured fusion‐based multimodal emotion recognition (SF‐MER) method to enhance emotion recognition capabilities. SF‐MER extracts EEG and facial expression features separately, classifies them using independent classifiers and fuses the classification results to generate the final emotion category.
Fang Liu, Simiao Jiang, Ningxi Su
wiley +1 more source
On (Anti)Conditional Independence in Dempster-Shafer Theory
This paper verifies a result of {Shenoy:94} concerning graphoidal structure of Shenoy's notion of independence for Dempster-Shafer theory of belief functions. Shenoy proved that his notion of independence has graphoidal properties for positive normal valuations.
openaire +5 more sources
A multi‐layer information fusion framework for proactive traffic congestion detection in V2V scenario is proposed; The underlying correlation between vehicle motion characteristics and real‐time traffic states is addressed; The feasibility and priority of the proposed congestion detection model in low CVs penetration rate scenario is validated ...
Tian Lei +5 more
wiley +1 more source
Fusing multiple change detection results has great potentials in dealing with the spectral variability in multitemporal very high-resolution (VHR) remote sensing images.
Hui Luo, Chong Liu, Chen Wu, Xian Guo
semanticscholar +1 more source
Navigation risk assessment scheme based on fuzzy Dempster–Shafer evidence theory
In order to reduce the influence of subjective factors on navigation risk assessment, we present a novel scheme based on the fuzzy Dempster–Shafer evidence theory in this article.
Bo Li
doaj +1 more source
Algebraic structures related to Dempster-Shafer theory [PDF]
There are described some algebraic structures on a space of belief functions on a two-element frame, namely so called Dempster's semigroup (with Dempster's operation ⊕), dempsteroids, and their basic properties. The present paper is devoted to the investigation of automorphisms of Dempster's semigroup.
openaire +2 more sources
ConvNet and Dempster-Shafer Theory for Object Recognition [PDF]
We propose a novel classifier based on convolutional neural network (ConvNet) and Dempster-Shafer theory for object recognition allowing for ambiguous pattern rejection, called the ConvNet-BF classifier. In this classifier, a ConvNet with nonlinear convolutional layers and a global pooling layer extracts high-dimensional features from input data.
Zheng Tong, Philippe Xu, Thierry Denoeux
openaire +1 more source
Updating the Evidence in the Dempster-Shafer Theory.
An algorithm for updating the evidence in the Dempster-Shafer theory is presented. The algorithm is based on an idea of indices. These indices are used to code the process of reasoning under uncertainty (the combination of evidence)using the Dempster-Shafer theory.
openaire +1 more source

