Browsing Auburn Theses and Dissertations by Title
Now showing items 5623-5642 of 9337
MAC and Routing Protocols for Multi-Hop Cognitive Radio Networks
(2008-08-15)
Cognitive radio networks that allow dynamic spectrum access are considered spectrally more efficient than networks using fixed spectral allocation. These networks are characterized by dynamically changing channel sets at ...
Machine Learning Algorithms for QSPR/QSAR Predictive Model Development Involving High-Dimensional Data
(2019-03-21)
With advancements in fields such as computational chemistry, computer-aided molecular design and chemoinformatics, the scientific community has now become inundated with a very large set of molecular descriptors. The ...
A Machine Learning Approach to Transit Fraud Detection
(2022-04-25)
This research is a collection of 3 papers on the use of machine learning methods to detect and classify transit media fraud using passenger transaction data. Academically, this work is an extension of machine learning ...
Machine Learning Approaches for Disease State Classification from Neuroimaging Data
(2013-05-01)
Automated recognition and classification of brain diseases are of tremendous value to society. Attention deficit hyperactivity disorder (ADHD) is a diverse spectrum disorder whose clinical diagnosis is based on behavior. ...
Machine Learning Based Approach Using Electromyography to Predict Joint Angles of the Knee
(2020-07-13)
In order for an active exoskeleton and its user to achieve synchronous motion, the intended motion of the user needs to be detected with enough lead-time to process and move the exoskeleton accordingly. This must also ...
MACHINE LEARNING BASED MINERAL CHARACTERIZATION FROM PORE TO CORE SCALE AND IMPLICATIONS FOR GEOCHEMICAL REACTIVITY
(2022-11-29)
Geological formations have great potential for large-scale carbon sequestration to reduce the net rate of increase in atmospheric CO2. In these systems, CO2 is injected into formations and mineralized through geochemical ...
Machine Learning Meta-analysis of Proteolytic Cleavage Specificity
(2024-07-30)
Proteolytic enzymes, such as cathepsins and matrix metalloproteinases (MMPs), play crucial roles in various physiological processes, including metabolism, cell signaling, and apoptosis. Identifying their cleavage sites is ...
Machine learning-based additive manufacturing process optimization and quality prediction with photomicrography and tomography
(2023-08-03)
Process optimization and quality prediction are essential for promoting manufacturing quality and improving product reliability in Additive manufacturing (AM). However, the complex multi-physics processes of AM, involving ...
A Machine Learning-Based Approach for Lifting Load Estimation
(2024-07-30)
Lifting weight estimation has gained attention in recent years due to its potential applications in ergonomics, human-robot collaboration systems, and wearable devices. The primary objective of this dissertation was to ...
A Machine Vision and Sensing System for Braid Defect Detection, Diagnosis and Prevention During Manufacture
(2007-12-15)
The mechanical properties of braids are often quite convenient for achieving the high performance levels expected of composite materials. A favorable attribute of a braided structure is the ability for the design engineer ...
Machine-learning-enabled Synthesis & Characterization of Epitaxial Perovskite Oxide Films
(2024-08-01)
Perovskite oxides are a well-studied family of materials that possess a wide range of useful properties and novel properties. SrHfO3 (SHO) is a perovskite oxide with an orthorhombic Pnma structure and a large band gap of ...
MACN: Map-Aided Cooperative Inertial Navigation
(2020-05-18)
This thesis presents an inertial navigation system (INS) that leverages the global positioning system (GPS) and a sparse road network database to cooperatively localize ground vehicles within close proximity to one another. ...
Macro-propagation of native cane (Arundinaria spp.) in central Kentucky and restoration out-plantings in western Tennessee and southern Alabama.
(2015-07-23)
Canebrakes, monodominant stands of native bamboo (Arundinaria spp.; hereafter cane), are a critically endangered ecosystem in the Southeastern United States. Canebrakes have declined to <2% of their former range from ...
Macrophage CXCR7: A Potential New Target for Atherosclerosis
(2013-07-15)
Objective—The discovery of CXCR7 as a new receptor for SDF-1 places many previously described SDF-1 functions attributed to CXCR4 in question, though whether CXCR7 acts as a signaling or “decoy” receptor has been in debate. ...
Magma evolution and processes of the Ashi Volcano, NW Tibet, China: Sr isotope studies of plagioclase crystals
(2018-04-27)
The Ashi Volcano is a member of the Ashikule Volcanic Field (AVF) and is located on the northwestern margin of the Tibetan Plateau. The Ashi Volcano draws much attention from volcanologists due to its recent eruptions in ...
Magmatic Processes and Conditions of Ashikule Volcanic Cluster, NW Tibetan Plateau
(2023-11-21)
Although magmatism at mid-ocean ridges and subduction zones are reasonably well understood, our understanding of magmatic processes beneath thick continental plateaus is lacking. On the northwestern Tibetan Plateau, the ...
Magnetic Particle Characterization and Quantification of Endocytosis Mechanisms of Cultured Mammalian Cells by Magnetic Cytometry
(2020-12-01)
Magnetic characterization and quantification of individual magnetic particles and magnetically labeled cells of the sample is of much importance to assess the sample quality and better application in the fields of drug ...
Magnetic Resonance Imaging of Radiation-Induced Thymic Atrophy as a Model for Pathologic Changes in Acute Feline Immunodeficiency Virus Infection
(2008-08-15)
The thymus is a primary lymphoid organ responsible for the production of a diverse repertoire of immunocompetent and self-tolerant T lymphocytes (T cells), vital for proper immune function. T lymphocyte differentiation, ...
Magnetism and Spin Dynamics in Emergent Two-Dimensional van der Waals Magnets
(2021-11-12)
The low Curie temperature of most two-dimensional (2D) van der Waals (vdWs) magnets makes it challenging to incorporate them into device applications. This thesis explores two intriguing materials: Fe5GeTe2, a 2D vdWs room ...
Magnetoelastic Sensor Systems in Biomarker Sensing Applications
(2023-12-01)
Biosensors are receptor-transducer devices which convert biological responses into readable signals. Biosensor design and development have drawn increasing attention due to the extensive range of possible applications, ...