Browsing OSU Theses by Subject "machine learning"
Now showing items 1-8 of 8
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Analysis of time series forecasting in application to solar energy harvest
(2022-05)The promised future applications in solar energy harvest have been remarkably recognized. However, the hourly forecasting of normal solar irradiance (NSI) outputs is considered a problem due to the dynamic nature of ... -
Analyzing Optimal Performance of Evolutionary Search with Restart as Problem Complexity Changes
(Oklahoma State University, 2006-12-01)This research explores how the complexity of a problem domain affects the performance of an evolutionary search using a performance-based restart policy. Previous research indicates that using a restart policy to avoid ... -
Data-driven modeling and analysis for cardiovascular disease risk prediction and reduction
(2021-05)In recent decades, cardiovascular disease (CVD) has become the leading cause of death in most countries of the world. Since many types of CVD could be preventable by modifying lifestyle behaviors, the objective of this ... -
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 ... -
Mechanical characterization of heterogeneous hyperelastic membrane using inverse methods
(2021-12)Many soft biological tissues are heterogeneous, having different properties at different locations. Characterizing these tissues is very important for virtually testing potential medical technologies or protocols. Some ... -
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 ... -
Polynomials with small elliptic Mahler measure via genetic algorithms
(2020-05)For a minimal polynomial $f$ we denote by $M(f)$ the Mahler measure of the roots of $f$. The classical Lehmer conjecture is concerned with finding a definitive lower bound for $M(f)$. Lehmer's polynomial is known to have ... -
Quadcopter Trajectory Prediction and Wind Estimation Using Machine Learning
(2019-07)Small unmanned aerial systems are heavily impacted by wind disturbances. Wind causes deviations from desired trajectories, potentially leading to crashes. In this thesis, we consider two inherently related problems: ...