A CASE-BASED REASONING STRATEGY OF INTEGRATING CASE-LEVEL AND COVARIATE-LEVEL REASONING TO AUTOMATICALLY SELECT COVARIATES FOR SPATIAL PREDICTION

A case-based reasoning strategy of integrating case-level and covariate-level reasoning to automatically select covariates for spatial prediction

ABSTRACTSpatial prediction is essential for obtaining the spatial distribution of geographic variables and selecting appropriate covariates for this process can be challenging, especially for non-expert users.For easing the burden of selecting the appropriate covariates, two case-based reasoning strategies, namely the most-similar-case and covariat

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Quantum walk processes in quantum devices

Simulation and programming of current quantum computers as Noisy Intermediate-Scale Quantum (NISQ) devices represent a hot topic at the border of current physical and information sciences.The quantum walk process represents a basic subroutine in many quantum algorithms and plays an important role in milwaukee 2981-20 studying physical phenomena.Sim

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Impact of household food insecurity on the nutritional status and the response to therapeutic feeding of people living with human immunodeficiency virus

Paluku Bahwere1,2,*, Hedwig Deconinck3,*, Theresa Banda1,*, Angella Mtimuni1,*, Steve Collins1,* 1Valid International, Oxford, United Kingdom; 2Center of Research in Epidemiology, Biostatistics, galaxy whisk and Clinical Research, School of Public Health, Free University of Brussels, Brussels, Belgium; 3Save the Children, Westport, CT, USA *These a

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A Novel Method for Fault Diagnosis of Rotating Machinery

When rotating machinery fails, the consequent vibration signal contains rich fault feature information.However, the vibration signal bears the characteristics of nonlinearity and nonstationarity, and is easily disturbed by noise, thus it may be difficult to accurately extract hidden fault features.To extract effective fault features from the collec

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