Standing-Posture Recognition in Human-Robot Collaboration Based on Deep Learning and the Dempster-Shafer Evidence Theory. [PDF]
Li G, Liu Z, Cai L, Yan J.
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Fault Diagnosis of Unmanned Aerial Systems Using the Dempster–Shafer Evidence Theory
Unmanned aerial systems (UASs) find diverse applications across military, civilian, and commercial sectors, including military reconnaissance, aerial photography, environmental monitoring, precision agriculture, logistics, and rescue operations, offering
Nikun Liu +4 more
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We compared probability surfaces derived using one set of environmental variables in three Geographic Information Systems (GIS)-based approaches: logistic regression and Akaike’s Information Criterion (AIC), Multiple Criteria Evaluation (MCE), and ...
Shelley M. ALEXANDER, Hejun KANG
doaj
A Novel Belief Entropy for Measuring Uncertainty in Dempster-Shafer Evidence Theory Framework Based on Plausibility Transformation and Weighted Hartley Entropy. [PDF]
Pan Q, Zhou D, Tang Y, Li X, Huang J.
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A Time-Space Domain Information Fusion Method for Specific Emitter Identification Based on Dempster-Shafer Evidence Theory. [PDF]
Jiang W, Cao Y, Yang L, He Z.
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A ranking procedure by incomplete pairwise comparisons using information entropy and Dempster-Shafer evidence theory. [PDF]
Pan D, Lu X, Liu J, Deng Y.
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Novel paradigm for constructing masses in Dempster-Shafer evidence theory for wireless sensor network's multisource data fusion. [PDF]
Zhang Z, Liu T, Zhang W.
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A Tunnel Fire Detection Method Based on an Improved Dempster-Shafer Evidence Theory. [PDF]
Wang H, Shi Y, Chen L, Zhang X.
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Fusing multiple source data for foundation excavation risk assessment based on cloud model and Dempster Shafer evidence theory. [PDF]
An Y, Li L, Gao H, Luo Z, He Y.
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A collapse risk assessment method for subway foundation pit based on cloud model and improved Dempster-Shafer evidence theory. [PDF]
Wu B +5 more
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