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Now showing items 11-14 of 14
Studying employee absenteeism due to health-related factors: A data-science approach
(2022-07)
United States employers are spending approximately $950 billion on healthcare benefits, and these costs are impeding their ability to compete in their respective markets. Furthermore, these costs do not include employee ...
Self-tuned, block-coordinate, and incremental mirror descent methods with applications in machine learning and wireless communications
(2020-07)
Uncertainty, high-dimensionality, and matrix structure of the decision variables are among the main challenges that may arise in addressing a wide range of stochastic optimization and equilibrium problems in machine learning ...
Critical assessment of CEO succession on organizational performance through descriptive and predictive research methods
(2021-07)
This research offers a comprehensive analysis of extant CEO succession literature to discover and illuminate previously unanalyzed variable relationships and potential areas for future research. An analysis is performed ...
Leveraging atomistic simulations and machine learning for the design of ionic liquids as electrolytes for battery application
(2022-05)
Ionic liquids are classes of salts that are often found in a liquid state composed entirely of ions. They have gained widespread interest in the research community because of several unique and desirable features, such as ...