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An Interactive Online App for Predicting Diabetes via Machine Learning from Environment-Polluting Ch...
Application of Machine Learning Classification to Improve the Performance of Vancomycin Therapeutic ...
Sparse multivariate functional principal component analysis
How to improve oil consumption forecast using google trends from online big data?: the structured re...
Machine learning approach for study on subway passenger flow
Optimal preventive switching of components in degrading systems
A new warranty policy for heterogeneous items subject to monotone degradation processes
Revisiting the analysis pipeline for overdispersed Poisson and binomial data
Development of a new pharmacokinetic model for target-concentration controlled infusion of vancomyci...
On the ordering of credibility factors
Age-replacement policy for items described by stochastic degradation with dependent increments
On a hazard (failure) rate process with delays after shocks
A review on recent advances and applications of h-likelihood method
A self-normalization break test for correlation matrix
Variables acceptance reliability sampling plan based on degradation test
Tree-Structured Regression Model Using a Projection Pursuit Approach
SEEDCCA: An Integrated R-Package for Canonical Correlation Analysis and Partial Least Squares
Identification of Major Psychiatric Disorders From Resting-State Electroencephalography Using a Mach...
On principal graphical models with application to gene network
Development and evaluation of attachable anti-vibration handle
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