Cargando…

A Networked Method for Multi-Evidence-Based Information Fusion

Dempster–Shafer evidence theory is an effective way to solve multi-sensor data fusion problems. After developing many improved combination rules, Dempster–Shafer evidence theory can also yield excellent results when fusing highly conflicting evidence. However, these approaches still have deficiencie...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liang, Qian, Liu, Zhongxin, Chen, Zengqiang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857947/ https://www.ncbi.nlm.nih.gov/pubmed/36673209 http://dx.doi.org/10.3390/e25010069

Ejemplares similares

Research on improved evidence theory based on multi-sensor information fusion
por: Lin, Zhen, et al.
Publicado: (2021)

Measuring Uncertainty in the Negation Evidence for Multi-Source Information Fusion
por: Tang, Yongchuan, et al.
Publicado: (2022)

A Novel Conflict Management Method Based on Uncertainty of Evidence and Reinforcement Learning for Multi-Sensor Information Fusion
por: Huang, Fanghui, et al.
Publicado: (2021)

Multi-Focus Image Fusion Method Based on Multi-Scale Decomposition of Information Complementary
por: Wan, Hui, et al.
Publicado: (2021)

Multi-fidelity information fusion with concatenated neural networks
por: Pawar, Suraj, et al.
Publicado: (2022)

Credibility Assessment Method of Sensor Data Based on Multi-Source Heterogeneous Information Fusion
por: Feng, Yanling, et al.
Publicado: (2021)

Gear Fault Diagnosis Method Based on Multi-Sensor Information Fusion and VGG
por: Huo, Dongyue, et al.
Publicado: (2022)

An Acquisition Method of Agricultural Equipment Roll Angle Based on Multi-Source Information Fusion
por: Li, Yang, et al.
Publicado: (2020)

Multi-classification method of arrhythmia based on multi-scale residual neural network and multi-channel data fusion
por: Zhang, Fuchun, et al.
Publicado: (2023)

Gearbox Fault Diagnosis Method Based on Multidomain Information Fusion
por: Xie, Fengyun, et al.
Publicado: (2023)

Application of a Bayesian Network Based on Multi-Source Information Fusion in the Fault Diagnosis of a Radar Receiver
por: Liu, Boya, et al.
Publicado: (2022)

Multi-Fidelity Aerodynamic Data Fusion with a Deep Neural Network Modeling Method
por: He, Lei, et al.
Publicado: (2020)

Multi-Target Tracking AA Fusion Method for Asynchronous Multi-Sensor Networks
por: Wang, Kuiwu, et al.
Publicado: (2023)

A Multi-Sensor Data-Fusion Method Based on Cloud Model and Improved Evidence Theory
por: Xiang, Xinjian, et al.
Publicado: (2022)

Defect Detection Method of Carbon Fiber Sucker Rod Based on Multi-Sensor Information Fusion and DBN Model
por: Hua, Chenquan, et al.
Publicado: (2022)

Multi-Modality Image Fusion and Object Detection Based on Semantic Information
por: Liu, Yong, et al.
Publicado: (2023)

A Weld Position Recognition Method Based on Directional and Structured Light Information Fusion in Multi-Layer/Multi-Pass Welding
por: Zeng, Jinle, et al.
Publicado: (2018)

The Multi-Focus-Image-Fusion Method Based on Convolutional Neural Network and Sparse Representation
por: Wei, Bingzhe, et al.
Publicado: (2021)

A Weighted Combination Method for Conflicting Evidence in Multi-Sensor Data Fusion
por: Xiao, Fuyuan, et al.
Publicado: (2018)

DNN-m6A: A Cross-Species Method for Identifying RNA N6-methyladenosine Sites Based on Deep Neural Network with Multi-Information Fusion
por: Zhang, Lu, et al.
Publicado: (2021)

Differentiation and comparison of Wolfiporia cocos raw materials based on multi-spectral information fusion and chemometric methods
por: Li, Yan, et al.
Publicado: (2018)

Human Activity Recognition Method Based on FMCW Radar Sensor with Multi-Domain Feature Attention Fusion Network
por: Cao, Lin, et al.
Publicado: (2023)

A Precise Multi-Exposure Image Fusion Method Based on Low-level Features
por: Qi, Guanqiu, et al.
Publicado: (2020)

Image Deblurring Using Multi-Stream Bottom-Top-Bottom Attention Network and Global Information-Based Fusion and Reconstruction Network
por: Zhou, Quan, et al.
Publicado: (2020)

An Interactive Image Segmentation Method Based on Multi-Level Semantic Fusion
por: Zou, Ruirui, et al.
Publicado: (2023)

MF-Net: Multi-Scale Information Fusion Network for CNV Segmentation in Retinal OCT Images
por: Meng, Qingquan, et al.
Publicado: (2021)

EEG Emotion Classification Network Based on Attention Fusion of Multi-Channel Band Features
por: Zhu, Xiaoliang, et al.
Publicado: (2022)

A multi-source information fusion approach in tunnel collapse risk analysis based on improved Dempster–Shafer evidence theory
por: Wu, Bo, et al.
Publicado: (2022)

Multi-Focus Image Fusion Based on Multi-Scale Generative Adversarial Network
por: Ma, Xiaole, et al.
Publicado: (2022)

News Stance Discrimination Based on a Heterogeneous Network of Social Background Information Fusion
por: Ren, Yanze, et al.
Publicado: (2022)

A Multi-Modal Fusion Method Based on Higher-Order Orthogonal Iteration Decomposition
por: Liu , Fen, et al.
Publicado: (2021)

Spammer detection using multi-classifier information fusion based on evidential reasoning rule
por: Liu, Shuaitong, et al.
Publicado: (2022)

Multi-Attribute Fusion Algorithm Based on Improved Evidence Theory and Clustering
por: Wang, Wenqing, et al.
Publicado: (2019)

A Time-Space Domain Information Fusion Method for Specific Emitter Identification Based on Dempster–Shafer Evidence Theory
por: Jiang, Wen, et al.
Publicado: (2017)

A New Deep Learning Based Multi-Spectral Image Fusion Method
por: Piao, Jingchun, et al.
Publicado: (2019)

A New Evidence Weight Combination and Probability Allocation Method in Multi-Sensor Data Fusion
por: Ma, Li, et al.
Publicado: (2023)

A Multi-Information Fusion Method for Gait Phase Classification in Lower Limb Rehabilitation Exoskeleton
por: Zhang, Yuepeng, et al.
Publicado: (2021)

Electronic Systems Diagnosis Fault in Gasoline Engines Based on Multi-Information Fusion
por: Hu, Jie, et al.
Publicado: (2018)

Sensors Information Fusion System with Fault Detection Based on Multi-Manifold Regularization Neighborhood Preserving Embedding
por: Wu, Jianping, et al.
Publicado: (2019)

A graph neural network-based stock forecasting method utilizing multi-source heterogeneous data fusion
por: Li, Xiaohan, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_ku4in4fl3fjb5moj1h905st0op