Results 141 to 150 of about 6,464,053 (197)

Lamb Wave-Based Damage Fusion Detection of Composite Laminate Panels Using Distance Analysis and Evidence Theory. [PDF]

Sensors (Basel)
Wang L, Liu G, Wang X, Yang Y.
europepmc   +1 more source

Collective effect of self-learning and social learning on language dynamics: a naming game approach in social networks. [PDF]

J R Soc Interface
Wen T, Chen YW, Lambiotte R.
europepmc   +1 more source

Research on intelligent decision support platform for tourism enterprises based on multi-source heterogeneous data fusion. [PDF]

Sci Rep
Song M.
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A Comparison of Algorithms to Achieve the Maximum Entropy in the Theory of Evidence. [PDF]

Entropy (Basel)
Abellán J, López-Gay A, Benítez MIA, Castellano FJG.   +3 more
europepmc   +1 more source

Data-driven Bayesian networks for risk scenario mapping of Falls from height accidents. [PDF]

PLoS One
Li J, Wang T.
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Permittivity Measurement in Multi-Phase Heterogeneous Concrete Using Evidential Regression Deep Network and High-Frequency Electromagnetic Waves. [PDF]

Materials (Basel)
Hou Z, Liu H, Cheng J, Zhang Q, Tong Z.
europepmc   +1 more source

Early Bearing Fault Diagnosis in PMSMs Based on HO-VMD and Weighted Evidence Fusion of Current-Vibration Signals. [PDF]

Sensors (Basel)
He X, Liu X, Lin C, Fu M, Wang J, Zhang J.   +5 more
europepmc   +1 more source

Marine diesel engine reliable intelligent fault diagnosis method based on the generalized multi-source information fusion. [PDF]

iScience
Xie Z, Mo C, Jia B.
europepmc   +1 more source

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Confidence-Aware Fusion Using Dempster-Shafer Theory for Multispectral Pedestrian Detection

IEEE transactions on multimedia, 2023
Multispectral 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, Changqing Zhang, Q. Hu, H. Fu, Pengfei Zhu   +4 more
semanticscholar   +1 more source

A new uncertainty measure via belief Rényi entropy in Dempster-Shafer theory and its application to decision making

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, Yushuo Cao, Xiangli Yang, Lusi Liu   +3 more
semanticscholar   +1 more source