Digital Commons Network^™

Unveiling The Origins Of Source Code Through Authorship Attribution: A Comparative Study Of Ai And Human Coding Patterns, Shamma Humaid Alalawi

Theses

In recent years, Artificial Intelligence (AI) techniques have been used for source code authorship attribution, which is the process of identifying the original author of a given piece of code. With the advancement of AI technologies like ChatGPT, which can generate code, there is a need to accurately identify whether a piece of code is written by a human or generated by a machine. This is crucial for intellectual property protection, cybersecurity, and software forensics. The main objective of this thesis is to review existing research on source code authorship attribution and conduct several experiments to determine the best AI …

Transformer-Based Deep Learning Model For Sign Language Recognition, Ganzorig Batnasan

Theses

Sign language recognition research aims to develop systems and tools that can interpret and translate sign language into text or spoken language. During the past two decades, the challenges faced in this domain are multifaceted. The first and foremost challenge is the complexity of sign language, which includes intricate hand gestures, facial expressions, and body movements. Recognizing and interpreting these components accurately is challenging. The second challenge is variability among different regions and communities, leading to variations in signs and gestures. This variability poses a challenge for developing universal recognition systems.
Limited data is another challenge which makes it difficult …

Transfer Learning Across Domains And Sensing Modalities, Chowdhury Sadman Jahan

Theses

Transfer learning facilitates the training of a deep learning (DL) model with limited or no labeled data, by initializing the network parameters using a similar model already trained on a different but related dataset or task. This dissertation examines two special cases of transfer learning for image classification tasks: cross-modal supervised learning, and cross-domain unsupervised adaptation. This dissertation proposes to apply cross-modal transfer learning to guide the training process of a DL model on Synthetic Aperture Radar (SAR) images via knowledge distillation from a DL model trained on corresponding electro-optical (EO) images. Furthermore, this approach explores class-balanced sampling strategies and …

Prevalence And Risk Factors Of Hikikomori In Young Adults In The Middle East, Harshil Paresh Shah

Theses

Hikikomori, a form of severe social withdrawal that can occur without the presence of any other psychological disorder, was once thought to be a Japanese culture-bound phenomena. However, studies have emerged from several parts of the world showing that this may be a global issue. Extant literature suggests associations between hikikomori and behavioral addictions such as gaming addiction and Problematic Social Media Use (PSMU). Since there is a relative paucity of research examining this phenomenon in the Middle Eastern context, this study aimed to determine the prevalence and risk factors of hikikomori in young adults of the Middle East. It …

Faithful Representation Of Free Groups And Congruent Subgroups Of Sl3(Z), Julius Kurian

Theses

This thesis is concerned with the matrix representation of a free nonabelian group by matrices of size ≥ 3. We proceed from defining an equivalence class and then transitioning to free groups.We discuss in details the group G_n(k) which is the group generated by the matrices filled with first, (second, etc.) column, except for the intersection with the diagonal, and we have ones on the diagonal and zeros at the other places. The filled places are occupied by the same parameter k. An alternative proof for the known fact that G_n(3) is not …

Molecular Geometry Changes In Some Carbonyls And Aromatic Rings Upon Electronic Excitation: Herzberg-Teller Vibronic Coupling And Unitary Duschinsky Rotation, Maryam Yahya Al-Sakkaf

Theses

The common assumption in probing the dynamical motion of molecules is that the molecular electronic activity depends weakly on vibrational coordinates on electronic excitation. Therefore, electron-vibration interaction, which is known as Vibronic Coupling (VC), may be ignored. The Herzberg-Teller theory of Vibronic Coupling (HTVC) is a breakdown of the Born-Oppenheimer Approximation (BOA) since nuclear and electronic degrees of freedom can no longer be separated. The inclusion of a single quantum of a non-totally symmetric vibrational mode changes the overall symmetry of the state and permits the transition. Often, this assumption may be invalid, especially in carbonyl and aromatic compounds. This …

Mapping And Analyzing Urban Growth In The Abu Dhabi Metropolitan Using Geospatial Technologies Integrated With Machine Learning, Hamsa Mohamed Yusuf

Theses

Urbanization is happening at a rate twice the increase in population on a worldwide scale. This has great environmental and social impacts, along with large impacts on regional climate and one of the reasons for this is the ever-continuous change of land use and land cover. The availability of high-resolution satellite imagery in addition to the advancements in geospatial technology allow mapping of LULC changes to be done accurately, efficiently and covering wide areas. This thesis studies the urban Land Use and Land Cover Change (LULCC) that happened in Abu Dhabi city for the last 3 decades by utilizing geospatial …

Pricing Asian Options During Crises With The Impact Of Exogenous Event, Moath Ali Bakour

Theses

Asian options are financial derivatives products whose value depends on the value of underlying asset prices. These options are called path-dependent since their payoff is built on the prices of the underlying asset over some time. As in the case of the European options, the Asian option pricing problem is primarily subject to the prediction model for asset prices. The pioneer Black-Scholes model in the paper [2] suggests a GBM-Geometric Brownian motion. The Black-Scholes formula has several shortcomings. For instance, the Geometric Brownian motion does not take into consideration crises. Another problem in the Black- Scholes model is that it …

Design Analysis Of The Structural System Of Alainsat-1 Cubesat By Simulation And Experimental Validation, Abdalla Saad Elshaal

Theses

This thesis presents the process of conducting the structural analysis of AlAinSat-1 CubeSat through a numerical solution using Siemens NX. AlAinSat-1 is a 3U remote-sensing CubeSat carrying two earth observation payloads. The CubeSat is scheduled for launch on SpaceX's Falcon 9 rocket. To ensure the success of the mission and its ability to withstand the launch environment, several scenarios should be analyzed. For the AlAinSat-1 model, the Finite Element Analysis (FEA) method is used, and four types of structural analyses are considered: modal, quasi-static, buckling, and random vibration analyses. The steps followed include idealizing, meshing, assembling, applying connections and boundary …

Enhancing Cybersecurity Awareness In The United Arab Emirates: An Assessment Of Current Practices And The Development Of An Ai-Enhanced Mobile Application, Meera Humaid Alalawi

Theses

In today's interconnected world, individuals, private corporations, public institutions, and governments face increasingly sophisticated cyber threats and attacks, highlighting the critical need for individuals and organizations to understand cybersecurity comprehensively. Cyberattacks have affected many countries and infrastructures in different sectors worldwide, including the United Arab Emirates (UAE), which has become a main target for cybercrime due to its booming economy and tourism. The UAE considers cybersecurity an increasingly critical issue in our digital world, and increasing cybersecurity awareness among residents is essential to protect themselves and their organizations from cyberattacks. The primary objectives of this study are to identify key …

Investigating The Magnetic Cycle Of The Planet-Hosting Star Hd189733, Mohammad Samih Raja

Theses

HD189733 is a planet-hosting star, harboring a hot Jupiter situated at approximately 8.8 stellar radii. This system is among the most studied systems for stellar magnetism, Star-Planet Interactions, and exoplanetary atmospheric studies. The largescale magnetic field of the star exhibits variability on relatively short timescales, however, no magnetic field cycle, including polarity flips, has been observed to date. This absence of cycle detection could be due to observational gaps between observing campaigns.

This thesis aims to explore the variability of the activity of HD189733 by conducting a homogeneous analysis of several publicly available datasets, obtained using several spectrographs/telescopes, spanning 18 …

Intelligent Tutoring System Ontology, Wael Mohamed Hassan

Theses

The integration of pedagogical rules into Intelligent Tutoring Systems (ITS) using semantic web technologies, particularly the Web Ontology Language (OWL), holds great promise for enhancing the capabilities of these systems. However, a significant challenge arises from the labor-intensive process of manually constructing ontologies, which can consume valuable time and resources. While ontologies offer numerous advantages, including robust knowledge inference and scalability, the limitations of manual ontology creation are evident in terms of time and flexibility. Therefore, the primary objective of this research is to develop an efficient and automated solution that harnesses the benefits of ontologies while reducing the time …

Disturbance Observer-Based Control For Pmsg-Based Wind Turbiner Considering Unbalanced Grid Conditions, Moayad Alanani Maher

Theses

A typical Permanent Magnet Synchronous Generator (PMSG)-based wind turbine system consists of an electrical generator, Machine-Side Converter (MSC), Grid-Side Converter (GSC), dc-link capacitor, and a passive filter such as L filter or LCL filter to connect the GSC to the host grid. When the wind turbine operates under unbalanced grid voltages, a negative sequence component is introduced to the system. This negative sequence voltage can pose challenges for classical controllers to ensure an efficient control of the PMSG-based wind turbine system. On one hand, when the control objective is to ensure injecting sinusoidal and balanced three-phase currents to the grid, …

Theoretical And Computational Astrochemistry: A Variational Quantum Monte Carlo (Vqmc) Study Of The Trihydrogen Molecule Cation (H3+), Ahmad Saeed Alsaed

Theses

H₃⁺ is the simplest Three-Center Two-Electron molecule and it is of much interest in astrochemistry due to its high occurrence in the outer space, high reactivity, and strong acidic properties. In addition,H₃⁺ is involved in many chemical reactions in the interstellar medium (ISM) and its significant ability to absorb energy contributed to the cooling of the Universe during its early stages.

The main objective of this thesis is to approximate the ground state electronic energy of H₃⁺ by using a simple trial wavefunction consisting of a doubly occupied molecular orbital multiplied by a Jastrow …

Teachers’ Perceptions Of The Implementation Of The United Arab Emirates Teacher Licensing System In Private Schools In The Abu Dhabi Emirate, Honey Ousama Al Bahri

Theses

The Teacher Licensing System (TLS) is a significant initiative in education in the United Arab Emirates (UAE), designed to regulate, control, and ensure the professionalism and competence of educators. Established by the Ministry of Education (MOE), its primary objective is to uphold high-quality education and safeguard students' interests. Following a quantitative method, the study aims to explore the perceptions of the teachers who completed the TLS regarding the Specialization and the Pedagogy tests, and the added value of the test, in addition to investigating the impact of the teachers’ demographics on their perceptions. Data were collected via a questionnaire and …

“Art For The Millions:” The Evolution Of Informal Learning From The Charleston Museum To The New Deal, Kristen Walker

Theses

The advent of the first museum in the United States in 1773, The Charleston Museum, sparked a shift in the way education is perceived and how it can be conducted. However, only recently has the intentional implementation of programs and exhibitions been created in a digestible way for the public. This thesis discusses how informal learning has evolved since the establishment of the Charleston Museum and the legacy of the Federal Art Project regarding informal learning and art education. Key research methods include the examination of primary and secondary resources, including oral histories held by the Smithsonian Archives of American …

Optimizing Supply Chain Dynamics Using Machine Learning, Mohammad Zubin Siddiqui

Theses

Supply chains face many challenges in today’s business environment. This paper examines how advanced analytics can be used to improve supply chain efficiency and resilience with a particular focus on demand forecasting and late delivery analysis. The thesis focuses on two areas, which are forecasting demand and analyzing late deliveries. With the help of data-driven models for forecasting demand and pinpointing reasons behind delayed shipments, establishments can take appropriate measures that will reduce risks and enhance operational efficiency. A complete analytic framework is suggested that integrates sophisticated analytics into supply chain management so that organizations can optimize all their operations …

Robust Machine Learning Under Vulnerable Cyberinfrastructure And Varying Data Quality, Sergei Chuprov

Theses

In our study, we investigate Machine Learning (ML) application robustness in ML Integrated with Network (MLIN) systems. We consider MLIN as an integration of three major components and interrelations between them: data sources, network facilities, and ML application. In contrast to the conventional approaches that focus on each separate component, we concentrate on their interrelationships, and consider them from the system integration perspective. We formulate our primary goal as to develop methods and tools aimed at assuring ML application performance towards Data Quality (DQ) variation in MLIN through improving ML application robustness. We examine the prior work on ML robustness …

Predictive Analytics Of Road Traffic Incidents, A Machine Learning Approach, Maryam Essa Jaji

Theses

Traffic accidents rank among the world's most serious concerns due to the high number of deaths, injuries, and fatalities as well as the enormous financial losses they cause every year. Road travel is a necessary component of modern civilization, but because of the rise in traffic accidents, it costs the world economy billions of dollars and over a million deaths annually. Road accidents can be caused by a variety of elements. It can be possible to take action to lessen the severity and extent of the effects if these elements are better recognized and predicted. The goal of this project …

Low Power Logic Locking Using Design Space Modeling To Achieve System-Wide Security, Long Lam

Theses

Rising design complexity and smaller technology nodes are escalating fabrication costs, prompting design houses to outsource to untrusted external facilities, which raises trust and privacy concerns. These concerns stem from the risk of security breaches like IP piracy, reverse engineering, and hardware trojans. The critical need to protect design intellectual property prompted the development of logic locking, a combinational hardware security technique that corrupts the functionality of a design without the correct secret key. However, the effectiveness of logic locking varies substantially based on how and where it is implemented within a system, including the specific technique families selected, the …

Novel Methods For Modeling And Treating Biofilm Infections, Emily Lazarus

Theses

Biofilms are responsible for the development of chronic infections, which are 10-1000 times more resistant to antimicrobial agents than two-dimensional (2D) planktonic culture. Traditionally, 2D planktonic cultures are used to study efficacy of antimicrobial treatments but 2D cultures have several shortcomings such as increased sensitivity to treatments, lack of complexity of the three-dimensional (3D) environment, limited host defense mechanisms, and lack the structural thickness of natural biofilms. Biofilm-related infections play a critical role in the delayed healing process of chronic skin wounds, and while treatments for chronic skin wounds exist, including negative pressure wound healing (NPWT), biofilm infections still prevail. …

Improving Adaptation Of Deep Learning With Inductive Bias, Xiajun Jiang

Theses

Human intelligence is strong at adapting to a small number of observations, partially because of the human ability to 1) use given knowledge and 2) distill knowledge from related but different data to guide learning for future tasks, where such ability is the inductive bias during learning. Deep learning shows a promising solution to artificial intelligence. However, generalizing or adapting deep learning models to heterogeneous tasks remains an open question. Existing data-driven models often ignore prior knowledge about the underlying problems of interest, or have limitations in incorporating complex knowledge into neural networks. The one-size-fit-all formula assumes the training and …

Hierarchical Parameterization In Spherical Domains For Deforming Feature Alignment, Lizhou Cao

Theses

The growing interest in immersive technology and lifelike virtual worlds has underscored the importance of creating automated methods to generate characters with a wide range of morphological variations. Traditional methods have either depended heavily on manual effort or simplified the challenge by only addressing static meshes or basic deformation transfers, without supporting dynamic shape morphing with deformation. In this work, we introduce a novel method that leverages cross-parameterization to semi-automate the creation of characters that are not only morphologically varied but also capable of synthesized deformation and animations. The key innovation of our work lies in the parameterization of deforming …

Predictive Maintenance On Drone Batteries Failure Using Machine Learning, Khalifa Jamal Almannaei

Theses

Predictive maintenance, powered by machine learning models, presents an innovative solution to address the limitations of drone battery maintenance. The core aim of this study is to design and implement machine learning models suitable for drone batteries, predict battery health, and prescribe maintenance actions. The ultimate scope is to improve operational reliability, safety, and cost-efficiency for drone applications while advancing sustainability and efficiency within the drone industry. By integrating predictive maintenance, the management of drone batteries can be optimized, leading to more reliable, and cost-effective drone operations, the proposal will seek to identify different factors that impacts the health and …

Optimizing V2v Energy Exchange Using Ai, Marwa Alghawi

Theses

A key factor in promoting sustainable economies, industries, and society is the use of electric vehicles (EVs). They are an important step toward a greener future since they reduce greenhouse gas emissions, improve air quality, and encourage energy independence. The demand for charging stations (CSs) will undoubtedly rise as the global EV market continues to grow over the next few decades, requiring significant investments from both public and private players. By creating a cutting-edge AI model, this work tackles the crucial problems of EVs range prediction and charging optimization decisions. The contributions are summarized as the below: 1. Developed AI …

Marketing Video Games To Aging Demographics: A Generational Profile Analysis, Brinna Louise Ball

Theses

Marketing video games to aging demographics like Baby Boomers, Generation X, and Millennials requires a unique approach by video game studios and consumer products divisions alike. The strategies employed for younger generations such as Generation Z and Generation Alpha differ from conventional methods, requiring a fresh outlook and a need for more innovative and inventive approaches. To comprehend the current aging audience more effectively, it's essential to examine four crucial factors: accessibility, exposure, media habits, and motivations to play video games. Examining these factors by generation, we can better grasp how to effectively market video games to these demographics. It's …

Future-Proofing The Past: Artificial Intelligence In The Restoration Of Andalusian Architectural Heritage: A Case Study Of The Alhambra Palace, Granada, Spain, Kholoud Bader Hasan Ghaith

Theses

This thesis explains the contribution of artificial intelligence in heritage restoration as an icon of Andalusian architecture by using the Alhambra as an example. The task of sustaining heritage is increasing dramatically due to the accumulation of heritage assets and the need for modern and innovative operations to cope with preservation tasks. Therefore, this thesis reviews the role of artificial intelligence in improving the restoration operation to improve accuracy and efficiency. I applied the case study as a scientific methodology to explain this work to overcome scientific and subjective obstacles, such as scarce data and software integration while explaining the …

Utilizing Hyperspectral Remote Sensing For Saline Soil Assessment In The Emirate Of Abu Dhabi, United Arab Emirates, Alya Hassan Aldhaheri

Theses

This study presents the application of hyperspectral remote sensing techniques to measure soil salinity. Soil salinity is a major concern in many arid and semi-arid regions, affecting crop productivity and ecosystem health. In most arid and semi-arid areas various levels of salinity can be encountered including sabkhas. Sabkha (salt flat) is a geological feature composed of saline and salt marshes that typically occur in shallow or coastal environments within arid and semi-arid climates. Traditional methods of measuring soil salinity are time-consuming and labor-intensive, making remote sensing techniques an attractive alternative. This study employed a hyperspectral sensor specifically the SVC-XHR-1024i to …

Advanced Nanostructured Materials For Water Harvesting And Energy Storage, Ahmed Elsir Ali

Theses

This thesis presents the work done developing nanotechnology-based compositions contributing to the advancement of two main sectors: Water and Energy. For they present vital impact and correspondence for sustainability and development worldwide. Composites constituted following the most recent trends in material science and nanotechnology while revolving around Manganese Oxide as the material of investigation. Water security is one of the most important challenges in our current times. Moreover, reports warn of the predicted restricted access to clean water by 2050, which is expected to impact more than half the population. Thus, many scientists and societies are exerting efforts to develop …

On The Use Of Gauge Functions To Obtain Convergent Power Series Solutions To Nonlinear Odes, Nastaran Naghshineh

Theses

This dissertation examines the power series solutions---and their analytic continuation via gauge transformations---of three classical nonlinear ordinary differential equations arising in fluid mechanics that are mathematically related by their large-distance asymptotic behaviors in semi-infinite domains. The first problem examines the influence of surface tension and gravitational forces to form a static air--liquid interface that intersects a flat wall at a given contact angle and limits to a flat pool away from the wall. The second problem considers the related configuration of an axisymmetric air--liquid interface formed when the flat wall is replaced with a right circular cylinder. In both problems, …