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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