Browsing Electronic Theses, Dissertations, and Records of Study (2002– ) by Title
Now showing items 13919-13938 of 24264
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(2010-07-14)My dissertation research consists of two themes: (a) the analysis of Middle Jurassic - Early Cretaceous marine magnetic anomalies (M-anomalies) in order to construct a comprehensive geomagnetic polarity timescale and (b) ...
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(2011-08-08)The Simplest Quantified Modal Logic (SQML) is controversial because it seems to conflict with some of our most basic intuitions about what is possible and what is necessary. Two controversial principles, the Barcan Schema ...
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(2023-03-27)The understanding of wall-bounded flows is of paramount importance in high-speed vehicle design. Estimating aircraft thermal and viscous loads require robust turbulence models that can accurately predict turbulent statistics ...
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(Texas A&M University, 2005-02-17)In this study the energy dissipation performance of machine augmented composite (MAC) materials is investigated. MAC materials are formed by inserting simple machines into a matrix material. In this work the machines ...
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(2018-05-02)Estimated ultimate recovery (EUR) predictions are important in the petroleum industry. Many researchers have worked on implementing accurate EUR predictions. In this study, we used machine learning techniques to help predict ...
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(2021-04-26)With approximately 15 to 20 percent of adults aged 65 and older living with Mild Cognitive Impairment (MCI), researchers in neuropsychology have placed increasing emphasis in early detection to best preserve quality of ...
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(2022-12-08)This study investigates the applications of machine learning (ML) to weather and climate modeling. We first show the potential for data-driven weather prediction by creating a low resolution, ML-based global atmospheric ...
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(2014-12-15)With the scale of interconnect number grows to billions, parasitic capacitance extraction speed is an important issue for fast turn-around time for designers. In this thesis, we propose to build a regression model for the ...
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(2014-12-17)Despite a number of economic and environmental benefits that integration of renewable distributed generation (DG) into the distribution grid brings, there are many technical challenges that arise as well. One of the most ...
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(2017-12-05)This research proposes a weak grid detection method that is a steady state screening method to identify clusters of buses where potential coordinated voltage oscillations could occur. The objectives of this method are to ...
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(2018-07-31)Road surface quality is an essential component of roadway infrastructure that leads to better driving standards and reduces risk of traffic accident. Traditional road condition monitoring systems fall short of current need ...
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Machine Learning Based Classification of Textual Stimuli to Promote Ideation in Bioinspired Design (2013-08-09)Bioinspired design uses biological systems to inspire engineering designs. One of bioinspired design’s challenges is identifying relevant information sources in biology for an engineering design task. Currently information ...
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(2022-12-05)PM2.5 concentrations are monitored at ground stations and are often geographically sparse. Machine learning (ML) methods, and more conventional statistical models, have been used to estimate PM2.5 from aerosol optical depth ...
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Machine Learning Based Prediction Models for Flammability Characteristics in the Chemical Industry (2022-12-13)The prediction models based on Quantitative Structure-Property Relationship (QSPR) and machine learning have been widely applied in the research. Flammability characteristics are critical information for the chemical ...
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(2020-07-31)With increasing congestion of Radio Frequency (RF) spectrum, enabling radar and communication systems to coexist is becoming an important area of research for efficient spectrum utilization. Designing radar systems that ...
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(2017-07-21)This thesis work is an exploration into the application of machine learning to a current problem relating to streams of aerial images, with application to the imaging systems within the Texas A&M GEOSAT group and to the ...
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(2022-12-10)One of the obstacles to the deployment of shape memory alloys (SMAs) in solid-state actuation is the low efficiency and functional instability due to the transformation thermal hysteresis and large temperature ranges during ...
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(2020-12-02)Application of machine learning has become prominent in many fields and has captured the imaginations of various industries. The development of data driven algorithms and the ongoing digitization of subsurface geological ...
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(2019-03-25)Inertial confinement fusion (ICF) experiments at the National Ignition Facility (NIF) and their corresponding computer simulations produce an immense amount of rich data. However, quantitatively interpreting that data remains ...
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(2019-11-25)Predicting the radiative properties of porous media is highly important in many engineering applications (e.g. additive manufacturing). The radiative properties of packed beds highly depend on the geometry and configuration ...