Digital Commons Network^™

Optimizing Power Grids In Uae Using Data Analytics For Improved Efficiency And Reliability, Khalid Bukhashem

Theses

The United Arab Emirates (UAE) has aims to triple its renewable energy capacity to 14 GW to attain the objective of 30% contribution of clean energy by 2031. Energy consumption, on the other hand, will increase from 5.2 to 5.8 exajoules by 2028. The grid infrastructure for which was developed to facilitate the centralized generation of power, is not conducive to dealing with the variability of the decentralized renewable resources that lead to inefficiencies in operation and reliability problems. The Dubai power grid is analyzed using historical data of 105,120 residential, commercial and industrial supplies. In this analysis machine learning …

Assessing The Impact Of Codec-Induced Audio Degradation On Voice Biometric Systems, Suhil Ali Almuhaisni

Theses

This study examines the robustness of voice biometrics when speech signals undergo audio codec transformations and sampling rate variations, conditions common in telecommunication networks. Speaker verification systems such as ECAPA-TDNN perform well on clean datasets, but their accuracy declines when low-bitrate codecs compress speech or when signals are resampled at reduced frequencies. In real-world deployments, systems adapt audio to bandwidth and storage limitations, often removing subtle acoustic details that support consistent speaker recognition. The research will analyse how codec settings and sampling rates, particularly those optimized for efficiency in bandwidth-limited systems, influence the stability of speaker embeddings. Instead of ranking …

Beyond Detection: A Batch-Based Ai Framework For Temporal And Event-Correlated Trend Analysis Of Misinformation On Social Media, Vishnu Tejas Vijayaraghavan

Theses

The rapid spread of misleading information on social media influences public behaviour and complicates crisis communication. Although transformer models such as BERT accurately detect misinformation at the post level, most studies analyse posts in isolation and overlook howmisinformation fluctuates over time or responds to major events. This study addresses that gap by developing an end-to-end analytical workflow that integrates BERT-based classification with temporal aggregation, topic clustering, anomaly detection, and event alignment. The analysis uses 10,700 COVID-19–related tweets (6,420 training, 2,140 validation, and 2,140 testing). Because timestamps were unavailable, synthetic timestamps were assigned using an evenly spaced date range between 1 …

An Examination Of High-Entropy Alternatives Of Connectionist Temporal Classification Loss For Optical Music Recognition Using Convolutional Recurrent Neural Networks, Hritik Saynganthone

Theses

The Connectionist Temporal Classification (CTC) loss function is the most commonly used loss function in the field of Optical Music Recognition (OMR). However, OMR suffers from a massive class imbalance problem, exacerbated by the fact that CTC loss is subject to the spiky distribution problem, wherein the blank token introduced by CTC is vastly overpredicted and appears in timesteps where it would make more sense to predict a non-blank token, since CTC will collapse repeated tokens into a single token. This work posits that alternative loss functions to CTC that optimize for an increase in entropy of the prior probability …

Assessing Large Language Models As An Interpretive Layer In Marketing Mix Modeling: Implications For Marketing Analytics, Mohammad Bin Haider

Theses

Marketing mix modelling (MMM) remains a core technique for guiding budget allocation, yet its outputs are often difficult for non-technical planners to interpret and govern. At the same time, large language models (LLMs) offer new possibilities for translating complex model artefacts into narrative guidance, but raise concerns about hallucination, reproducibility, and alignment with model-risk governance. This thesis examines whether an open-source MMM framework can be engineered as a repro- ducible, governance-ready pipeline and then augmented with a tightly constrained LLM interpretive layer. The empirical setting is a multi-brand, multi-country retail portfolio with several years of digital marketing and outcome data …

Timeless Poetry, Xuning Li

Theses

Timeless Poetry reimagines classical Chinese poetry through contemporary digital tools, transforming ancient verse into immersive visual experiences. Using Cinema 4D and Blender for 3D modeling and ink-wash–inspired rendering, the project reconstructs poetic landscapes as cinematic-style environments that invite viewers to encounter traditional imagery through modern visual language. Postcards—chosen for their nostalgic and emotional resonance—serve as both a physical anchor and an interactive trigger: when scanned, each card reveals an AR visuals that reveal the scene in motion. This hybrid design bridges past and present, showing how technology can enhance, rather than replace, cultural heritage by offering new entry points for …

Ecoviz: Experience The Future Of Environmental Insight Through Motion And Visuals, Ronger Xu

Theses

The project titled ‘ECOVIZ’ investigates the potential of motion-based visualization to transform the way environmental data is understood and emotionally experienced. Through an interactive visual system that merges 3D motion design with environmental datasets, the project explores how abstract ecological information can be translated into intuitive and immersive experiences. ECOVIZ examines the ways in which data visualization, when paired with motion, depth, and spatial interaction, can foster a deeper and more meaningful engagement with climate-related information, bridging the gap between scientific data and public comprehension. ‘ECOVIZ’ transforms environmental statistics into dynamic, visually expressive forms that mirror the rhythms, fluctuations, and …

Exploring Human Perception And Cognition In Expressing And Understanding Mechanical Designs, Yan-Ting Chen

Theses

Effective communication of mechanical designs through technical drawings requires geometric accuracy, efficiency, and an understanding of human perception and cognition. Although advances in computer-aided design (CAD) software have improved drawing precision and automation, current tools often overlook the spatial reasoning processes that users employ to interpret these representations. This study seeks to improve the accuracy and efficiency of human-computer interaction in CAD environments by examining how individuals perceive and interpret three-dimensional mechanical components within the context of technical drawings. A key focus is the identification of canonical and optimal views that align with intuitive human understanding. Through a series of …

Playa Sediment Bioaccessibility Presents Previously Unknown Risks To Population Health In A Water-Stressed Region Undergoing Lake Desiccation: Salton Sea, Usa, Jordan Jaeger

Theses

Globally, drylands are expanding, and endorheic basins are in rapid decline. Saline lake desiccation exposes lakebed playa likely to become dust, posing potential health risks to surrounding communities. Studies investigating health risks from playa dust exposure often focus on health effects associated with the presence of airborne particulates, but fewer studies investigate health risks associated with dust source chemistry. This study examines dust source particle composition in a desiccating inland sea in a water-stressed agricultural region of California. Specifically, chemical bioaccessibility of bound trace elements uncovers risks to children, adults, and agricultural worker health. Arsenic exposure via sediment ingestion poses …

Hiding In Plain Sight, Evan Seeling

Theses

This thesis considers how perceptual, emotional, and behavioral patterns—often inherited, unnoticed, or obscured—can be revealed through the optical phenomena of glass. It connects visual experience with themes of grief, memory, and identity, using glass to explore the boundary between what is seen and what is felt. Through material investigations in refraction, reflection, and spatial arrangement, the studio research examines how glass can both obscure and reveal, echoing the instability of perception itself. These investigations, paired with a focus on viewer interaction, suggest that patterns hiding in plain sight become visible through intentional acts of perception and reflection.

The World Is Beautiful, Chelsea Demott Wildey

Theses

My thesis, The World is Beautiful is a short, digitally animated film that follows the journey of a jaded employee working at a dystopian fishery. The intention of this piece was to tell a well-paced, coherent story that also served as an allegory to spark verbal discourse in an audience. As a surface level story, the film portrays a working protagonist who has been forced to remain seated at her desk by a mechanical chair. She, presumably, has been monotonously pressing icons on a screen for her entire life until something catches her eye and prompts her to break free …

Advancing Applications Of Deep Learning On Network Traffic Analysis And Fingerprinting, Nate Mathews

Theses

The growing reliance on encrypted communication networks and privacy-preserving technologies, such as Tor, has intensified the demand for advanced defenses against traffic analysis attacks. Although encryption conceals content, the exposure of metadata—such as timing, packet size, and traffic volume—remains a significant vulnerability, allowing adversaries to infer private user behavior and visited websites. This dissertation addresses the limitations of existing analysis by advancing the application of deep learning techniques across multiple domains of traffic analysis and fingerprinting. The first major contribution is a comprehensive evaluation of current website fingerprinting defenses, revealing critical weaknesses against sophisticated modern attacks. Building on this foundation, …

Graphic Design For Visual Narratives: The Semiotics Of Diegetic Retrofuturism, Brooke Luke Ballard

Theses

While semiotics, diegesis, and retrofuturism have all been discussed at length in academia, it is uncommon to find the synthesis of all three. When these concepts are combined, it forms what I argue is a new genre of graphic design now prevalent enough in contemporary media to warrant definition and analysis. This thesis first explores the theories of visual semiotics, narrative diegesis, and retrofuturistic aesthetics individually before uniting them as a new design genre. Several candidates for this design classification will then be examined in case studies that meet the criteria of 1) containing a visual language that a modern …

Cobalt Layered Double Hydroxide As Advanced Electrode Materials For Supercapacitors And Electrocatalysis, Wafa Sultan Alaryani

Theses

Due to the high demand for sustainable energy storage options and efficient energy conversion devices, extensive research has been conducted on various electrode materials. This thesis is concerned with the fabrication of electrode material mainly using cobalt-based material, particularly cobalt layered double hydroxides (Co-LDH) with the combination of nitrogen-doped carbon nanotubes (N-CNTs) to be used in supercapacitors and oxygen evolution reactions (OERs) applications. The main objective is to enhance the electrochemical performance of supercapacitors and to develop a novel electrode material for a more stable and efficient OER in alkaline medium.

The methodology involved a one-step hydrothermal procedure to synthesize …

أثر الحكم الصادر عن المحكمة الاتحادية العليا بعدم الدستورية, Mariam Saeed Al Ketbi

Theses

The Effect of The Judgment Rendered by the Federal Supreme Court Declaring Unconstitutionality

Constitutional judiciary represents the primary guarantee for the supremacy of the Constitution and the protection of rights and freedoms, as it exercises subsequent review over legislative texts to ensure their compliance with constitutional provisions. The judgments it issues are objective in nature, directed at the legislative text itself rather than the parties involved, which grants them absolute authority that binds all branches of government—legislative, executive, and judicial—as well as individuals. These judgments are final and cannot be appealed by any means, as confirmed by both the UAE …

Genomic And Metabolic Network Characterization Of Fusarium Species, Hend Hussain Mueenuddin

Theses

Fusarium covers the wide genus of fungi with over 400 species that are key in agricultural and medical practice. The purpose of the current study was to perform a comprehensive genomic profiling of the 19 Fusarium species that were captured in the National Centre of Biotechnology Information (NCBI) database. The study was made to make a comparison of the data, based on the descriptive statistics of every species, with graphical representation images enabling clear demonstration of the numbers. The study indicated that the chromosomal numbers were in the range of 0-15, the gene count was roughly 11000 -19000, while that …

Extremism Governance In The United Arab Emirates: A Case Study Using Qualitative Policy Framework, Haya Saleh Almansoori

Theses

This thesis investigates how the United Arab Emirates governs extremism using various models of governance and Gareth Morgan’s metaphorical organizational models. This research goes beyond a focus on security and looks at extremism as a governance and policy problem related to social cohesion, institutional trust, and legitimacy. The research utilizes a qualitative case study design through analyzing federal laws and national strategies, as well as institutional frameworks to understand how authority, coordination and meaning are organized in the UAE’s governance of extremism.

The results show that the UAE’s governance of extremism is characterized as a hybrid governance model with hierarchical …

Enhancing It Security Management With An Advanced Intrusion Detection System Based On Machine Learning And Explainable Ai, Hanan Aslam Al Zubaidi

Theses

The fast changing landscape of cyber threats continues to challenge the development of strong and reliable security frameworks for IT management systems. Traditional defense tools, such as Intrusion Detection Systems (IDS), often struggle to keep up with today's advanced and constantly evolving attack methods. This thesis explores these ongoing challenges and looks into how machine learning (ML) and explainable artificial intelligence (XAI) can be used to boost IDS performance.

The research outlines a smart, adaptive system that combines supervised learning for real-time threat detection, unsupervised models for anomaly analysis, and proactive defense strategies. The goal is to improve detection accuracy, …

Enhancing The Acceptability Of Decision-Making System Using Xai Case: Crime Profiling System, Mohamed Saeed Al Shamsi

Theses

In the current world, we need to place more emphasis on how easily interpretable, accurate, and acceptable data analysis results are, given that essential operations in law enforcement, among other sectors, are backed up by the use of complex computing systems. Crime profiling systems that use crime data for profiling encounter major problems because they depend on algorithm-based methods. These methods can be ambiguous and inaccurate, leading to low public acceptability. The study investigates major problems with Complex Crime profiling systems (CPS) because their unexplained algorithms result in system performance issues and public scepticism. XAI provides a solution to handle …

اختصاص المحكمة الاتحادية العليا بتفسير المعاهدات والاتفاقيات الدولية دراسة تحليلية في النظام القانوني الإمارات, Noura Salem Alshamsi

Theses

The Federal Supreme Court's Jurisdiction to Interpret International Treaties and Agreements

This thesis examines and analyzes the interpretation of international treaties and agreements in the legal system of the United Arab Emirates, focusing in particular on the jurisdiction granted to the Federal Supreme Court in this area. It aims to clarify the legal rulings issued in this regard, in light of the UAE Constitution and recent legislative developments, particularly Federal Decree-Law No. (33) of 2022.

The thesis concludes that the UAE legislator has granted the Federal Supreme Court exclusive jurisdiction to interpret international treaties, and that this interpretation is achieved …

باستخدام مجموعة بيانات متعددة من الطائرات بدون طيار Yolo البحث والإنقاذ البحري القائم على في ظروف الطقس الصعبة, Aysha Ali Alshebli

Theses

Object detection models, powered by deep learning and computer vision, are revolutionizing marine search and rescue (SAR). By analyzing aerial imagery and live drone footage, these systems automatically identify critical targets like survivors, life rafts, and debris across vast and treacherous ocean areas. This capability enhances operational efficiency by reducing human workload and accelerating response times, even in challenging conditions such as poor light, high seas, or cluttered backgrounds. The result is continuous monitoring, faster decision-making, and a significantly improved probability of successful rescue.

Departing from prior methodologies, YOLO introduced a paradigm shift through its single-shot architecture, which concurrently predicts …

Core-Scale Study Of Miscible Co2 Foam–Oil Interactions, Kuvonchbek Abdirakhmonov

Theses

Foam is currently the most effective means for gas mobility control in a variety of geo-energy applications, including enhanced oil recovery (EOR), carbon capture, utilization and storage (CCUS), and aquifer/soil remediation. This study investigates the mobility control of miscible CO₂ foam in the presence of oil.

The primary objective is to quantify the impact of oil on CO₂ foam behavior under miscible conditions, specifically examining foam stability, strength, and flow regimes as influenced by oil composition and reservoir permeability. While most oils destabilize foam, few studies explore the coarsening mechanisms of CO₂ foam in the presence of miscible oils, which …

Enhanced Privacy Preserving Healthcare Data Management With Federated Learning Using Homomorphic Encryption, Omar Abdulla Ali

Theses

Federated Learning (FL) is a decentralized approach of machine learning on multiple clients jointly training models without sharing their raw data, which drastically improves privacy and enhance protection against security breach. This is particularly critical in the healthcare sector, where hospitals and medical institutions are often unable to exchange patient records due to strict privacy regulations and data-management policies. However, there is still a risk of privacy breach when clients send their model updates to the central server, because if a model update is intercepted or analyzed by a malicious entity, it could be used to recover sensitive data using …

Enhanced Air Hockey Robot Performance Through Adaptive Control Algorithim Using Ai-Based Hierarechal Decicion Archeticture, Ayham Majed Salim

Theses

This thesis presents the development of an intelligent air hockey robot that combines precise mechanical design, computer vision, and adaptive control within an AI-based hierarchical decision architecture. The system integrates synchronized stepper motors, high-speed image processing, and a real-time decision framework to achieve competitive gameplay performance. The robot detects the puck using adaptive HSV color segmentation, supported by dynamic calibration that maintains accuracy under different lighting conditions. A two-stage trajectory prediction model, based on exponential decay velocity estimation, enables anticipation of puck motion and improves response time during fast gameplay.

At the decision level, a fuzzy-logic supervisor governs the robot’s …

High-Energy And On The Move: Exploring The Kinematic And X-Ray Properties Of Young Stars Near Earth With Gaia, Chandra, And Erosita, Attila Vincent Varga

Theses

Young stars in the solar neighborhood provide a unique and insightful window into stellar evolution during the first few hundred million years after formation. Leveraging archival photometric and astrometric data from ESA’s Gaia Space Astrometry mission, as well as photometric data from NASA (2MASS and WISE) archives, I have identified over 50 new members of the nearby (D ∼ 100 pc), 3–8 Myr-old Epsilon Cha association (ECA), including six new proto-brown dwarf candidates. By modeling the kinematics and photospheric properties of both newly identified and previously known members of the ECA and Lower Centaurus Crux (LCC), I further established the …

It Hurts To Become, Ana Maria Joyce

Theses

Using the medium of oil painting, this thesis will investigate the ways that memories of my past inform and distort my perception of reality. Using domestic spaces as a framework in combination with my own body as the subject matter, I am creating compositions that redefine the meaning of home as a concept. Rather than a physical place of comfort, home is a cemetery for past selves that I revisit in my mind and grieve, no matter the time that has passed. By expressing this internal decay through physically scraping and sludging paint onto large scale surfaces, I aim to …

Microstructural And Mechanical Characterization Of Aa6082 /Sic/Al2o3 Hybrid Nano Composite Fabricated By Ultrasonic Assisted Stir Casting, Anasmon Koderi Valappil

Theses

The utilization of aluminium alloys has increased rapidly in past decades due to the increasing demand for lightweight and high-performance materials. Among the popular aluminium alloys, AA6082 is widely favoured for its excellent combination of strength, corrosion resistance, and machinability. Most previous work, however, has concentrated on either on micro scale reinforcement or on single ceramic particles, leaving very few experimental studies on the use of hybrid nano reinforcement in AA6082. Therefore, to further enhance its mechanical properties without compromising its inherent advantages, hybrid metal matrix composites were developed using various nano particulates as reinforcements. In this current study, AA6082-based …

Startup Success Forecasting Through Machine Learning: A Comprehensive Analysis Of It Startups, Khaled Abdulla Alhassani

Theses

Lately, startups attracted significant attention from investors throughout the previous years. This raised several questions concerning startups and what they possibly define as them. It could refer to collective individuals who focus on innovative ideas with a reproducible and scalable business model; others refer to it as a newly established business. Nevertheless, all these definitions lead to a predictive question. Will these startups face success?

This study explores startup success prediction methods, focusing on forecasting information technology startup (SIT) insights using Machine Learning (ML) models such as Random Forest (RF), Decision Tree (DT), Support Vector Machine (SVM), K-Nearest Neighbor (k-NN), …

Experimental Investigation: Performance Of Ranque–Hilsch Vortex Tubes Under Various Surface Boundary Conditions, Ahmad Al-Najjar

Theses

The Ranque–Hilsch vortex tube (RHVT) is a passive thermofluid device that splits compressed gas into simultaneous cold and hot streams through strong swirling flow inside a slender tube, without moving parts. This study experimentally examines how external boundary conditions applied to the tube wall influence RHVT performance. Three wall conditions were imposed: (i) externally cooled (cooling), (ii) externally heated (heating), and (iii) adiabatic (insulated). Tests were conducted with air over an inlet pressure range of 2–6 bar. The primary objective was to understand the extent to which wall thermal condition modifies temperature separation and energy efficiency. Performance was quantified using …

Isolation And Characterization Of Plant Growth Promoting Rhizobacteria From Soils In The Uae And Their Effect On Plant Salt Tolerance, Layla Zayed Almazrouei

Theses

Plants are constantly challenged by environmental stresses that restrict their growth and productivity. In the United Arab Emirates (UAE), soil salinity is a critical barrier to agriculture, particularly for tomato (Solanum lycopersicum), which is highly sensitive to moderate salinity levels (>2.5 dS m⁻¹). This study explored the potential of plant growth–promoting rhizobacteria (PGPR), especially actinobacteria, to enhance salt tolerance in tomato. The objective was to evaluate the effects of rhizosphere-competent (RC) and non-rhizosphere-competent (NRC) PGPR on plant physiology and yield in saline sandy soils. Actinobacterial strains were isolated from the tomato rhizosphere and screened to produce 1-aminocyclopropane-1-carboxylic …