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Enhance Telecom-Related International Indicators Using Machine Learning, Omar Alnemer
Enhance Telecom-Related International Indicators Using Machine Learning, Omar Alnemer
Theses
This thesis investigates the enhancement of the Network Readiness Index (NRI) through the application of machine learning methodologies to refine indicator weighting, clustering, and dimensionality. The study builds on research promoting data-driven methods to address the limitations of equal-weighted indices in capturing indicator importance and interdependence. The research aims to evaluate how unsupervised and supervised learning methods can optimize the interpretation of NRI data. The study focuses on three primary research questions: (1) How can PCA be used to reduce the dimensionality of the NRI without significant loss of information? (2) Can k-means clustering reveal meaningful groups of countries with …
Advancing Institutional Sustainability Through Green Roofs: Performance-Based Policy For Rit, Theoren Heilman
Advancing Institutional Sustainability Through Green Roofs: Performance-Based Policy For Rit, Theoren Heilman
Theses
Utilization of green roof systems continues growth as a sustainable architectural strategy, offering enhancements to key building performance metrics while contributing to overall community resilience. The ability of green roofs to deliver a wide range of performance benefits, even in environments with harsh climatic conditions, positions them as an asset for advancing sustainable development. Within this context, university campuses represent an underutilized, yet important, setting for green roof adoption. Functioning much like small cities, campuses contain diverse building types and extensive infrastructure networks, which draw significant energy demands, positioning them to lead in sustainable building practices. Yet, most lack rigorous, …
Relativistic Gas Accretion Onto Supermassive Black Hole Binaries From Inspiral Through Merger, Lorenzo Ennoggi
Relativistic Gas Accretion Onto Supermassive Black Hole Binaries From Inspiral Through Merger, Lorenzo Ennoggi
Theses
Accreting supermassive black hole binaries are powerful multimessenger sources emitting both gravitational and electromagnetic (EM) radiation. Understanding the accretion dynamics of these systems and predicting their distinctive EM signals is crucial to informing and guiding upcoming efforts aimed at detecting gravitational waves produced by these binaries. To this end, accurate numerical modeling is required to describe both the spacetime and the magnetized gas around the black holes. In this work, we present two key advances in this field of research. First, we have developed a novel 3D general relativistic magnetohydrodynamics (GRMHD) framework that combines multiple numerical codes to simulate the …
On The Adaptation Of Latent Dynamics Models, Ryan Missel
On The Adaptation Of Latent Dynamics Models, Ryan Missel
Theses
Predicting future states of high-dimensional, partially observed dynamical systems - such as cardiac electrical propagation - is crucial for advancing fields like healthcare and physics. While univariate time-series forecasting is well-explored, high-dimensional time-series forecasting presents unresolved challenges. These challenges include the computational burden of processing high-dimensional data and the difficulty of accessing the system’s underlying dynamics directly. Classical optimization and analytical approaches become impractical as the dimensionality increases, leading to a growing interest in data-driven deep learning models, particularly those based on latent dynamics functions. Latent dynamics models provide an efficient way to map high-dimensional observations into lower-dimensional latent spaces, …
Product, Process, And Behavior Influences On Value Retention Processes: Toward A Circular Economy In Consumer Electronics, Kyle Parnell
Product, Process, And Behavior Influences On Value Retention Processes: Toward A Circular Economy In Consumer Electronics, Kyle Parnell
Theses
Consumer electronic products (CEP) manufacturing and retail contribute markedly to global industrial activity; worldwide estimates suggest revenue growth from $1 trillion in 2020 to $1.5 trillion by 2026. Consequently, the production, distribution, use, and end-of-life (EOL) disposition of these products are responsible for considerable social and environmental impacts, including 35 million metric tonnes of waste to landfill per year, 793 million metric tonnes (MMT)—and growing—of carbon dioxide-equivalent (CO2e) greenhouse gas (GHG) emissions per year, and innumerable adverse effects on human health and development. Driving these impacts are the inherent characteristics of CEPs themselves, which increasingly require critical materials in design, …
Advancing The Utility Of Unmanned Aerial Systems (Uas)-Based Imaging Techniques In Broadacre Agriculture: A Multimodal Case Study On Table Beets, Mohammad Shahriar Saif
Advancing The Utility Of Unmanned Aerial Systems (Uas)-Based Imaging Techniques In Broadacre Agriculture: A Multimodal Case Study On Table Beets, Mohammad Shahriar Saif
Theses
Efficient and sustainable food production and management are growing concerns in the context of an ever-increasing global population. It is in this context that the integration of remote sensing with advanced imaging technologies presents transformative opportunities for data-driven decision-making in agriculture. This study therefore explores the use of unmanned aerial systems (UAS) equipped with multispectral, hyperspectral, and LiDAR sensors for the non-destructive monitoring of table beet (Beta vulgaris) crop traits, with a specific focus on root yield estimation and foliar disease assessment. Table beet, a subterranean crop of increasing commercial and nutritional importance, poses unique challenges for above-canopy sensing due …
A Place To Pause: Designing Ritual Space In The Domestic Realm, Elise Miller
A Place To Pause: Designing Ritual Space In The Domestic Realm, Elise Miller
Theses
Modern society in Western developed countries is focused on the rush and go, often leaving people feeling discombobulated from constant running around, task-oriented days and switching of roles one must play in different areas of their life, such as at home, work, socializing, parenting, etc. How can ritual bring a sense of calmness and order to lives of those on the go? Ritual studies are often only categorized under psychology, sociology, or religious studies. However, as industrial design encompasses human interaction with objects, often with an emotional quality, ritual can be studied more wholesomely with the added lens of industrial …
Using Equivalence-Based Instruction And Behavioral Skills Training To Teach Social Skills, Alexander Orzeck
Using Equivalence-Based Instruction And Behavioral Skills Training To Teach Social Skills, Alexander Orzeck
Theses
Social skills are an integral part of human life, so it stands to reason that teaching methodologies should be developed to instruct people in this complex topic. One method to teach social skills has been behavioral skills training, in which the four-step sequence of vocal and written instruction, modeling, roleplay, and feedback exposes learners to the social concepts until a mastery criterion is reached. Skills relevant to socialization have also been taught with equivalence-based instruction, in which the concept of stimulus equivalence is employed to generate novel relations between stimuli for the purpose of teaching some skill. No instance was …
Meta-Learning Coordinated Eye–Hand Dynamics, Chengkuan Zhao
Meta-Learning Coordinated Eye–Hand Dynamics, Chengkuan Zhao
Theses
The analysis of fine-grained behavioral time-series, such as eye-hand coordination, offers a powerful lens for understanding neurodevelopmental disorders like Autism Spectrum Disorder (ASD). Traditional assessments often miss subtle dynamic patterns that are critical for characterizing individual differences. This thesis investigates the temporal dynamics of coordinated eye and hand behavior in adolescents with and without ASD during a structured ”maze painting” tablet task. The goal is not to propose a new predictive model, but to use a state-of-the-art meta-learning framework based on latent Neural Ordinary Differential Equations (Neural ODEs) as a ”computational microscope” to explore how these behavioral dynamics vary within …
Structure/Property/Processing Of Covalent Adaptable Networks Bearing Hindered Urea Bonds, Kory Schimmelpfennig
Structure/Property/Processing Of Covalent Adaptable Networks Bearing Hindered Urea Bonds, Kory Schimmelpfennig
Theses
Dynamic covalent chemistry provides the functional basis for the efficient and reliable exchange of reversible binding groups which enable self-repair thus avoiding structural impairment or permanent damage of material properties. Covalent adaptable networks (CANs) have garnered attention for the sustainable development of polymers capable of mending damages thus facilitating eco-friendly recyclability. This work aims to address the role of reaction pathway and manufacturing process on the subsequent properties of CANs bearing hindered urea bonds (HUBs). HUBs have proven easy to incorporate into polymers and exhibit moderate temperature thermo-reversibility and creep resistance. In this investigation we study the effects of preparing …
Critical Black Expressionism: A Womanist Manifesto, Rolanda Jw Spencer
Critical Black Expressionism: A Womanist Manifesto, Rolanda Jw Spencer
Theses
This thesis introduces Critical Black Expressionism (CBE) as a visual, spiritual, and intellectual methodology rooted in Black feminist traditions, ancestral knowledge systems, and artistic practice. Grounded in womanist theory and decolonial inquiry, the central argument asserts that Black women’s lived experiences, cultural memory, and spiritual cosmologies constitute a rigorous and sovereign framework for artmaking. Rather than borrowing from Eurocentric pedagogies, this approach draws from oral traditions, sacred ritual, and master-apprentice models that have long existed within African and African American communities. The Iyami Aje: Mothers + Witches collection is the visual embodiment of this research. Composed of multimedia sculptures, altar-based …
Exploring Kosovo's Need For A Technology-Driven Offset Strategy, Alba Cikaqi
Exploring Kosovo's Need For A Technology-Driven Offset Strategy, Alba Cikaqi
Theses
At a time where technological innovation is redefining national security, Kosovo risks falling behind by failing to adopt emerging technologies for defense and security. This research addresses that vulnerability by exploring the need for a dedicated national strategy as a solution. Drawing on global best practices, including the United States Offset Strategy, NATO frameworks, and innovation models from the Baltic countries, the study outlines a potential path forward. Additionally, through qualitative analysis, including interviews with key stakeholders across public, private, and academic sectors, this study looks into the opportunities and challenges of developing a context-specific strategy for integrating emerging technologies …
Fostering Human Rights Awareness In Kosovo: A Case Study On The Sustainability Of Ngo Trainings, Hana Kaja
Fostering Human Rights Awareness In Kosovo: A Case Study On The Sustainability Of Ngo Trainings, Hana Kaja
Theses
The sustainability of human rights trainings in Kosovo remains a critical issue, particularly as the country seeks to develop a rights-oriented society aligned with Euro-Atlantic values. This case study evaluates the sustainability efforts of two trainings conducted by a non-governmental organization, focusing on their alignment with objectives, participant feedback, and systemic factors such as institutional support and follow-up mechanisms. It also explores broader challenges like participant disengagement and the limited integration of human rights education into the national curriculum. A mixed-methods approach was used, combining survey data from participants, interviews with NGO representatives, and analysis of internal documents. To ensure …
Engraving Goddesses: Hendrick Goltzius’S Mannerist Prints, Emily Seils
Engraving Goddesses: Hendrick Goltzius’S Mannerist Prints, Emily Seils
Theses
This project analyzes the reception of Hendrick Goltzius’s (1558-1617) prints within the court of Emperor Rudolf II (1552-1612), specifically how his technical expertise in his mythological compositions presented bodily transformation as an alchemical act. He produced images that were intellectually coded for a sophisticated audience while simultaneously capturing the viewer’s gaze and emotions. In doing so he created, alongside his contemporaries, a niche market of high demand art and enabled the "viral" circulation of collectable prints among Northern European elites. Three main topics structured my approach. First, the distinctive development of Rudolf II of Prague’s prestigious art collection, the Kunstkammer, …
How Do You Know? Parsing The Infocalypse Using Art-Based Data Visualization, Michelle Sylvia Weintraub
How Do You Know? Parsing The Infocalypse Using Art-Based Data Visualization, Michelle Sylvia Weintraub
Theses
Since the advent of the World Wide Web, vast interconnected digital networks have increasingly provided access to diverse data sources for Internet users. Towards the turn of the 21st century, social media sites opened opportunities to produce and consume (i.e., prosume) data, empowering users to publish their own content online (Manovich, 2009). The ability to publish user-generated content results in more voices being heard, creating more seats at the proverbial table. However, more recently, persuasive media has increasingly been weaponized to disseminate misinformation and disinformation online (Howard, 2020). Consequently, the agency exercised by Internet and social media users is diminished. …
Investigating Human Expertise In Manufacturing To Enhance Knowledge Preservation And Transfer Practices, Krzysztof Kamil Jarosz
Investigating Human Expertise In Manufacturing To Enhance Knowledge Preservation And Transfer Practices, Krzysztof Kamil Jarosz
Theses
In the US, the machining industry is a vital part of the economy, employing over 290,000 skilled machinists and over 89,000 mechanical engineers. Whilst employment figures for engineers in this crucial sector has been fairly steady, a rapid decline in machinist workforce has been observed in the last decade, along with retirement of aging expert machinists and engineers, creating workforce shortages and loss of valuable manufacturing knowledge inherent to those highly skilled and experienced individuals. As engineering design and manufacturing knowledge are closely intertwined, so is the knowledge pertaining to practical aspects of machining and design of components that are …
Potential Of Blood-Based Assays To Enhance The Diagnosis, Risk Stratification And Monitoring Of Multiple Myeloma Patients, Aisling O Brien
Potential Of Blood-Based Assays To Enhance The Diagnosis, Risk Stratification And Monitoring Of Multiple Myeloma Patients, Aisling O Brien
Theses
Multiple Myeloma (MM) remains an incurable haematological malignancy; however, continuous advancements in treatment strategies have significantly improved patient survival. There is now a pressing need for enhanced detection methods to ensure optimal patient outcomes. This includes rapid diagnosis, early detection of relapses, and identification of high-risk patients. Diagnosis: For optimal patient results, initiating early MM diagnosis at the primary care level is essential. Delays in diagnosis can result from nonspecific presenting symptoms such as anaemia and bone pain. A retrospective observational study identified calculated globulin as a promising clinical biomarker to indicate MM in primary care. Subsequent implementation of calculated …
Mechanisms For Oxygen Vacancy Defect Migration In Srtio3/Nio Heterostructures, Anish Rajesh More
Mechanisms For Oxygen Vacancy Defect Migration In Srtio3/Nio Heterostructures, Anish Rajesh More
Theses
Perovskite-based oxide heterostructures display promising properties resulting from interface phenomena, making them good candidates for next-generation solid oxide fuel cell electrolytes. Amongst the different features exhibited by these interfaces, misfit dislocations play an important role in influencing ionic transport, yet their role remains poorly understood, which is the case in rock salt-perovskite interfaces too. In SrTiO3/NiO heterostructures, to comprehend interface ionic transport, we investigate oxygen vacancy migration near misfit dislocations. To this end, we developed a high-throughput framework that integrates atomistic simulations with nudged elastic band method to predict migration energy barriers across disparate interface atomic environments. By comprehensively mapping …
Exploring The Quality Of Professional Development In Addressing Challenges With Behavior Management Of Special Needs Students In Inclusive Classrooms: An Instrumental Case Study, Reem Hussein Abuwatfa
Exploring The Quality Of Professional Development In Addressing Challenges With Behavior Management Of Special Needs Students In Inclusive Classrooms: An Instrumental Case Study, Reem Hussein Abuwatfa
Theses
Inclusive education has become a major educational priority globally and within the United Arab Emirates (UAE), driven by policies promoting the full participation of students with special educational needs (SEN) in inclusive classrooms. This study explores how elementary-level general education teachers perceive the quality of professional development (PD) in addressing their challenges with behavior management of students with SEN in inclusive classrooms. A qualitative case study approach was used, utilizing semi-structured interviews. The findings indicated that teachers face challenges from the behavioral issues of SEN students in inclusive classrooms, affecting both typical peers and teachers. Moreover, teachers had mixed perceptions …
Data-Driven Machine Learning Applications For Predictive Modeling Of Petrochemical And Ecofriendly Systems, Noora Saleh Al Mansoori
Data-Driven Machine Learning Applications For Predictive Modeling Of Petrochemical And Ecofriendly Systems, Noora Saleh Al Mansoori
Theses
Traditional experimental approaches in industrial processes, such as Fourier Transform Infrared Spectroscopy (FTIR) spectroscopy, thermogravimetric analysis (TGA), and well-drilling operations, are often constrained by time, cost, and operational limitations. This research explores the application of data-driven Machine Learning (ML)-based predictive modeling to improve efficiency and reduce dependency on resource-intensive experimentation. The study develops ML models for three distinct processes: FTIR intensity prediction of bitumen thermal cracking products, thermal degradation of Medium-Density Fibreboard (MDF) using TGA data, and Rate of Penetration (ROP) prediction in petrochemical industry. Six algorithms: Linear Regression (LinReg), Partial Least Squares Regression (PLSR), Support Vector Regression (SVR), Gradient …
Personifying The Goddess: Contrasting Representation Of The Deified Body In Feminist Art, Kelly Lorraine Phillips
Personifying The Goddess: Contrasting Representation Of The Deified Body In Feminist Art, Kelly Lorraine Phillips
Theses
Goddess imagery, the representation of a female deity or a concept of divine feminine power through various forms, symbols, and narratives, has been used by artists to communicate a multitude of sentiments, from spiritual reverence to political ideology. This study probes the evolution of representations of the deified female body from the 1970s to the current era to reveal contrasts in how these icons of female power have transformed over time. The artwork of second-wave feminist and self-identified “Goddess artist” Mary Beth Edelson is examined as a foundation for second-wave Goddess sentiment. Edelson’s collage work, which incorporates figures from a …
Transmit And Deceive: Addressing The Insider Threat To Beacon Security, Noah Troy
Transmit And Deceive: Addressing The Insider Threat To Beacon Security, Noah Troy
Theses
IEEE 802.11 Beacon frames exist at the forefront of modern Wi-Fi networks and facilitate a wide array of essential network functionality, from discovery to time synchronization and even transmit power control. However, the central role Beacon frames play in initial network advertisement comes at the price of incomplete security guarantees, leaving these frames historically vulnerable to forgery and granting significant leverage over proximal wireless devices to a malicious actor that can effectively spoof them. With the publication of IEEE Std 802.11-2020, beacon protection was introduced to enable the authentication of received Beacon frames, placating most concerns. However, beacon protection is …
Enhancing Aptv Reliability: A Study Of Design And Operational Efficiencies At An Aluminium Manufacturing Company, Mohammad Tayeb Alawadhi
Enhancing Aptv Reliability: A Study Of Design And Operational Efficiencies At An Aluminium Manufacturing Company, Mohammad Tayeb Alawadhi
Theses
This paper aims to focus on enhancing the reliability of Anode Pallet Transport Vehicles (APTVs) used in Aluminium Manufacturing Company. The primary objective of the project is to establish the causes of failure modes, assess the operational problems, and implement strategies that would prevent, reduce, or minimize the frequency of failure, low equipment utilization, and high maintenance costs. APTV performance analysis involves the use of maintenance logs, operational data, and engineering specifications to obtain the best results. Applying Failure Mode and Effects Analysis (FMEA), the study highlights the most critical parts causing the largest effect on operations, which include traction …
Access To Justice For Deaf Defendants, Anna Zieba
Access To Justice For Deaf Defendants, Anna Zieba
Theses
Deaf individuals face systemic accessibility within the criminal justice system, which emphasizes the importance of the gaps in accommodations by the Americans with Disabilities Act (ADA). Inconsistent legal protection, limited access to interpreters, inadequate training for legal professionals, and a lack of technology resources obstruct effective communication for Deaf individuals. As a result, it prohibits achieving an effective and equitable legal outcome. This research paper will examine case studies, legal frameworks, and academic literature to highlight the critical need for reform, including mandatory Deaf culture training, standardized interpreting qualifications, and more resources to enable equitable access to justice.
Silicon Photonics For Quantum Information, Evan Manfreda-Schulz
Silicon Photonics For Quantum Information, Evan Manfreda-Schulz
Theses
Quantum information science and technology (QIST) combines principles of quantum mechanics and information theory to develop new approaches for processing, transmitting, and sensing information. Practical realization of applications in QIST requires generation and validation of a significant amount of entanglement, which is not only a property but a logical resource. Silicon photonic integrated circuits (PICs) are an attractive platform for applications in QIST and for generating the entanglement resource because they are foundry-fabricated, are compatible with existing fiber optic infrastructure, have a small spatial footprint, and afford access to several high-dimensional (HD) degrees of freedom. This dissertation covers three projects …
Effect Of Traumatic Brain Injury On Quality Of Life, Mohammad A. Al Rjoob
Effect Of Traumatic Brain Injury On Quality Of Life, Mohammad A. Al Rjoob
Theses
Traumatic brain injury (TBI) results from external events, such as falls and motor vehicle accidents leading to brain damage. This study investigated quality of life (QoL) in individuals with TBI and its relation to demographic and clinical variables, including gender, age, educational level, time since TBI onset, fatigue, depression and cognitive function. Twelve individuals with TBI participated in this cross-sectional study. Quality of life was assessed using Quality of Life after Brain Injury and ASHA Quality of Communication Life Scale measures. Fatigue was measured using the Fatigue Severity Scale, depression was measured with the Geriatric Depression Scale, and cognitive function …
Factors Influencing Community Assembly Of The Amphibian Microbiome In Rochester, Ny, Thomas R. Minahan
Factors Influencing Community Assembly Of The Amphibian Microbiome In Rochester, Ny, Thomas R. Minahan
Theses
Amphibians are crucial in wetlands and, by extension, our planet. As predator and prey, amphibians serve as keystone species, vital for the continued equilibrium in their wetland ecosystems. However, the global amphibian population is currently threatened by the spread of a pathogenic fungus known as Batrachochytrium dendrobatidis (Bd). Over the past thirty years, Bd has spread worldwide, threatening hundreds of amphibian species. The environmental factors that influence microbial community assembly in amphibians are key to developing interventions that can protect amphibians from disease. This research examines the abiotic and biotic factors influencing microbial community composition in amphibians of Rochester, New …
Personalized Nutrition Recommendations For Arab Communities: Transforming Diet And Health Through Machine Learning, Khalfan Aldoobi
Personalized Nutrition Recommendations For Arab Communities: Transforming Diet And Health Through Machine Learning, Khalfan Aldoobi
Theses
A lack of cultural understanding in traditional nutrition approaches prevents proper adherence to healthy dietary patterns among individuals. The Arab population faces unique challenges due to cultural dietary customs and lifestyle changes that have made obesity and diet illnesses major global public health challenges. The rapid shift to high-calorie but undernourished foods and less physical activity has resulted in alarming rate increases of obesity, cardiovascular diseases, and type 2 diabetes. The lack of cultural understanding in traditional nutrition approaches prevents proper adherence to healthy dietary patterns among individuals. This study focuses to fills the existing gap by applying Artificial Intelligence …
Fake News Detection: Leveraging Natural Language Processing And Machine Learning For Reliable Information Verification, Roshni Rajendra Salve
Fake News Detection: Leveraging Natural Language Processing And Machine Learning For Reliable Information Verification, Roshni Rajendra Salve
Theses
This dissertation details the creation and assessment of a machine learning algorithm designed to identify fake news utilizing Natural Language Processing (NLP) methods. The research employs several machines learning models, including Long Short-Term Memory (LSTM) and other deep learning techniques, to detect and classify misleading information. Data is sourced from a variety of platforms, such as social media and online news outlets, to compile a thorough dataset. The data is pre-processed to eliminate noise, address missing values, and extract essential features through techniques like tokenization, stop-word removal, and lemmatization. The performance of the models is evaluated using key metrics such …
Through Legitimate Dissent, The Supreme Court Repairs Itself, Afnaan A. Qureshi
Through Legitimate Dissent, The Supreme Court Repairs Itself, Afnaan A. Qureshi
Theses
The decisions of the Supreme Court of the United States, along with its reasoning, influence the direction and scope of historical events. Through an analysis of landmark dissents from four of the worst Supreme Court decisions, Curtis’ dissent in Dred Scott v. Sandford (1857), Harlan’s dissent in Plessy v. Ferguson (1896), Holmes’ dissent in Abrams v. United States (1919), and Murphy’s dissent in Korematsu v. United States (1944), we can take steps towards catalyzing its self repair by stepping away from digital echo chambers and engaging in legitimate dissent. The four cases marked turning points in the efforts to protect …