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The accuracy of uncertainty analysis in suspension systems is closely tied to the precision of the probability distribution of sprung mass. Consequently, traditional assumptions regarding the probability distribution fail to guarantee the accuracy of ...
Cheng Li, Yuan Jing, Jinting Ni
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A new uncertainty quantifier is presented for linear transfer functions of wave-induced ship motions and loads obtained by various seakeeping codes. The numerical simulations are conducted for the high-speed Flokstra container ship in regular waves at ...
Hossam S. Abdelwahab +3 more
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IntroductionThe COVID-19 pandemic has exacerbated mental health challenges, particularly depression among college students. Detecting at-risk students early is crucial but remains challenging, particularly in developing countries.
Lorena Cecilia López Steinmetz +8 more
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Uncertainty Analysis for Topographic Correction of Hyperspectral Remote Sensing Images
Quantitative uncertainty analysis is generally taken as an indispensable step in the calibration of a remote sensor. A full uncertainty propagation chain has not been established to set up the metrological traceability for surface reflectance inversed ...
Zhaoning Ma +3 more
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High spatial–temporal resolution surface net radiation (RN) data are of great significance to the study of climate, ecology, hydrology and cryosphere changes on the Tibetan Plateau (TP), but the verification of the surface net radiation products on the ...
Limimg Gao, Yaonan Zhang, Lele Zhang
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Subcooled boiling flow taking place in the reactor system plays a critical role in the safety of nuclear power plants. It has been studied by experiments and system codes in the past decades.
Xiang Zhang +3 more
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Fissure detection in ancient buildings is of vital importance in the evaluation of resistance or remediation in urban areas. Electrical resistivity imaging is an efficient tool to detect fissures or moisture erosion in buildings by highlighting the ...
Shan Xu +3 more
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This study presents a novel decision-making framework for the simultaneous selection and transfer of technology and equipment under uncertainty, applied to the gas industry.
Mohsen Khorshidnia +3 more
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The Effect Size in Uncertainty Analysis
In model-based health economic evaluation, uncertainty analysis is often done using parametric bootstrapping. This requires specifying probability distributions for the model variables that are uncertain.The effect size of the intervention is often expressed as a relative risk, and the standard assumption for a relative risk is that it has a lognormal ...
openaire +5 more sources
Use of Neutrosophic Cognitive Maps for a more complex representation of human perceptions [PDF]
The research addresses a central problem in the modeling and analysis of human perceptions: the need for tools that capture more richly and accurately the complexity inherent in opinions, especially in contexts of high uncertainty and contradiction. In a
Juan Alberto Rojas Cardenas +3 more
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