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Now showing items 11-15 of 15
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 ...
Modern process planning for additive manufacturing assisted a 356 aluminum casting
(2023-05)
Foundry engineering integrates mechanical design, thermal-fluid dynamics, and material science to cast components of a unique design. This project was intended to apply these concepts to optimize the casting process of an ...
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 ...
Floating-point comparator with relu operator for machine learning enhancement
(2021-05)
This article provides various comparator designs that provide comparisons to double, single, half, and bfloat floating-point values as well as provide comparison modes for 32 and 64 bit two's compliment integer encoded ...