Results 311 to 320 of about 26,379,250 (355)

Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy

Information Fusion, 2019
Multi-sensor data fusion technology plays an important role in real applications. Because of the flexibility and effectiveness in modeling and processing the uncertain information regardless of prior probabilities, Dempster–Shafer evidence theory is ...
Fuyuan Xiao
semanticscholar   +1 more source

Data Fusion in Sensor Networks

2006 IEEE International Conference on Video and Signal Based Surveillance, 2005
There is a growing excitement about the potential application of large scale sensor networks in diverse applications such as precision agriculture, geophysical and environment monitoring, remote health care, and security. Rapid progress in sensing hardware, communications and low-power computing has resulted in a profusion of commercially available ...
openaire   +1 more source

Data Fusion with Entropic Priors

2011
In classification problems, lack of knowledge of the prior distribution may make the application of Bayes' rule inadequate. Uniform or arbitrary priors may often provide classification answers that, even in simple examples, may end up contradicting our common sense about the problem.
Francesco Palmieri 0001, Domenico Ciuonzo   +1 more
openaire   +3 more sources

FuseSeg: Semantic Segmentation of Urban Scenes Based on RGB and Thermal Data Fusion

IEEE Transactions on Automation Science and Engineering, 2020
Semantic segmentation of urban scenes is an essential component in various applications of autonomous driving. It makes great progress with the rise of deep learning technologies.
Yuxiang Sun, Weixun Zuo, H. Wang, Ming Liu   +3 more
semanticscholar   +1 more source

Sensor integration and data fusion

Journal of Robotic Systems, 1990
AbstractThe problem of sensor integration and data fusion is addressed. We consider the problem of combining information from diversified sources in a coherent fashion. We assume that information from various sensors may be available in different forms at the fusion.
openaire   +1 more source

A Systematic Review of Trustworthy and Explainable Artificial Intelligence in Healthcare: Assessment of Quality, Bias Risk, and Data Fusion

Information Fusion, 2023
A. Albahri, Ali M. Duhaim, M. Fadhel, A. Alnoor, Noor S. Baqer, Laith Alzubaidi, O. Albahri, A. Alamoodi, Jinshuai Bai, Asma Salhi, José I. Santamaría, Chun Ouyang, Ashish Gupta, Yuantong Gu, Muhammet Deveci   +14 more
semanticscholar   +1 more source

Multimod Data Manager: A tool for data fusion

Computer Methods and Programs in Biomedicine, 2007
Nowadays biomedical engineers regularly have to combine data from multiple medical imaging modalities, biomedical measurements and computer simulations and this can demand the knowledge of many specialised software tools. Acquiring this knowledge to the depth necessary to perform the various tasks can require considerable time and thus divert the ...
Marco Viceconti, Fulvia Taddei, Laura Montanari, Debora Testi, Alberto Leardini, Gordon Clapworthy, Serge L. Van Sint Jan   +6 more
openaire   +3 more sources

Multimodal Data Fusion

2022
Zhikui Chen, Liang Zhao 0005, Qiucen Li, Xin Song, Jianing Zhang 0001   +4 more
openaire   +1 more source

Mechanisms of SNARE proteins in membrane fusion

Nature Reviews Molecular Cell Biology, 2023
Reinhard Jahn, Lukas K Tamm, Jahn Reinhard   +2 more
exaly  

Deep learning based multimodal biomedical data fusion: An overview and comparative review

Information Fusion
J. Duan, Jiaqi Xiong, Yinghui Li, Weiping Ding   +3 more
semanticscholar   +1 more source