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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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 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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Sensor data fusion for accurate cloud presence prediction using Dempster-Shafer evidence theory. [PDF]
Li J, Luo S, Jin JS.
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Comparative Study of Decision-Level Fusion Strategies for Multi-Sensor CNN-Based Bearing Fault Diagnosis. [PDF]
Makrouf I +5 more
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A Deng Entropy-Based Heuristic Method to Determine Discounting Coefficient in Dempster-Shafer Evidence Fusion. [PDF]
Huang S, Deng Y.
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Robust and Interpretable Deep Learning Fault Diagnosis in Complex Chemical Processes: Performance Enhancement via Dempster-Shafer Theory and Feature Attention. [PDF]
Ewuzie RN +4 more
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Development of Surveillance Robots Based on Face Recognition Using High-Order Statistical Features and Evidence Theory. [PDF]
Chaabane SB +3 more
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An evidence-fused neutrosophic framework for uncertainty-aware treatment selection. [PDF]
Mann M, Badoni RP, Narooka P, Singh P.
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Continuous Full-Domain Highway Trajectory Tracking Based on Improved Deep-SORT and Inverse Covariance Intersection. [PDF]
Tian Z, Duan C, Gao S, Gu J, Lyu N.
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