Digital Commons Network^™

Forecasting Load At Residential, Industrial, And Commercial Stations For Dubai Electricity And Water Authority: A Machine Learning Approach To Managing Generation During Peak And Off-Peak Times Over The Coming Years, Mohammad Anoohi

Theses

In Dubai, with the rapid growth of energy demand, efficient demand side management is necessary to optimize the distribution of electricity, reduce peak loads, and improve grid stability. Traditional DSM strategies are based on historical data and reactive control mechanisms that cannot adapt to evolving consumption patterns. This research uses Machine Learning techniques to enhance DSM in residential, commercial, and industrial sectors by developing predictive models that forecast energy demand based on seasonal variations. The dataset used was from Dubai Electricity and Water Authority (DEWA), covering the consumption patterns across Summer, Winter, Transition from Winter to Summer, and Transition from …

Data-Driven Prediction Of Vehicle Residual Value In The Uae Automotive Industry, Meera Al Hashmi

Theses

In this master’s thesis, machine learning methods are applied to predict the residual value of a vehicle, focusing on the problem of estimating the vehicle’s price after sale. The research addresses some of the most important drivers of depreciation which include market segmentation, country, region-specific details, transmission type, and some numerical values obtained through factor analysis. This is very important to the automotive industry, leasing businesses, and financial institutions. The data was collected from the open-source online marketplace Dubizzle and contains 25 variables and 62,922 cases. The initial data posed notable challenges as there were non-standardized feature values, incomplete data …

Proactive Approach To Identify And Mitigate Cybersecurity Threats In Smart Building Using Ai, Shayma Abdulla Alhayyas

Theses

Smart buildings form a cornerstone of modern urban development. The integration of Internet of Things (IoT) devices in buildings has revolutionized facility management, improving system intelligence and user experience. However, these smart devices also introduce cybersecurity challenges and risks. The initiative "Identifying and Mitigating Cybersecurity Threats in Smart Building using AI" focuses on leveraging advanced artificial intelligence (AI) to address and mitigate cybersecurity threats within smart buildings. This study integrates predictive analytics, deep learning, and machine learning to identify and prevent cyberattacks, protecting sensitive data and networked IoT devices. By analyzing previous attack patterns, network behaviors, and potential vulnerabilities, this …

Beyond The Badge: Predicting Military Employee Attrition In The Police Force, Alia Abdulla Alhajji

Theses

This study explores the issue of employee attrition within the military police force, with a focus on predicting which employees are at risk of leaving. Attrition in law enforcement is costly and disruptive, especially in roles that require long training periods and operational readiness. The research specifically targets the internal organizational factors influencing turnover in military police environments and aims to leverage machine learning models to support the early identification of high-risk individuals. Guided by the CRISP-DM framework, the study followed a structured process across six stages: business understanding, data exploration, preparation, modeling, evaluation, and insight generation. A simulated dataset …

Intellimad: A Framework For Secure Machine Learning Models Evaluation And Fine-Tuning In Federated Setting, Dmitrii Korobeinikov

Theses

In contemporary artificial intelligence (AI) appli- cations, Machine Learning (ML) models are core components enabling AI-driven functionalities, yet selecting and fine-tuning a model and its hyperparameters remains challenging. ML model architecture, as well as key model training parameters, such as the number of training epochs, batch size, and learning rate, are highly dependent on both the dataset modalities and the specific task resolved in a particular application. More sophisticated execution setups may require determination of additional environment-related parameters, such as identifica- tion of computational capabilities required for execution of a particular AI-driven task, or discovery and establishment of desired security-related …

Sustainable Retrofits: The Balance Between Energy Efficiency And Embodied Energy, Alexander Narvaez

Theses

This thesis looks at how to balance energy efficiency with embodied energy in small commercial retrofits, focusing on restaurant buildings. Rather than tearing down older buildings and starting from scratch—something that wipes out all the embodied energy already invested—retrofitting can improve performance while preserving what's already there. Using EnergyPlus for operational energy modeling and the Athena Impact Estimator for embodied energy analysis, this study compares different retrofit scenarios. These include retrofitting one, two, or all three major assemblies (walls, roofs, and floors) to see how each combination affects total emissions over time. The results show that not all retrofits are …

Investigating The Relationship Between Cellular Senescence And Pulmonary Fibrosis, Crystal Lee

Theses

This study investigates the complex relationship between cellular senescence, aging, and pulmonary fibrosis through a comprehensive analysis of bulk RNA-seq data from patients with idiopathic pulmonary fibrosis (IPF), chronic obstructive pulmonary disease (COPD), and scleroderma. Using differential expression (DE) and age-associated differential expression (AADE) analyses, we revealed a paradoxical pattern: senescence-related gene sets were significantly downregulated in disease comparisons but progressively upregulated with aging within these same diseases. Gene set enrichment analysis (GSEA) revealed that gene sets associated with DNA damage/telomere stress and oxidative stress were among the most enriched senescence inducers in fibrotic disease states, while cellular senescence and …

Criminal Activity Monitoring System: Targeting Africans And East Asian Communities In Dubai, Hamdan Kalantar

Theses

This dissertation investigates crime patterns among African and East Asian communities in Dubai, focusing on geographic hotspots, temporal trends, victim demographics, and the use of machine learning for predictive crime modeling. The research addresses the challenges faced by these communities, including labor exploitation, financial fraud, and human trafficking, within the socio-economic context of a rapidly growing urban city. Building on existing studies of urban crime, this research aimed to explore the spatial, temporal, and demographic dynamics of crimes and assess the potential of predictive models to assist law enforcement in crime prevention and resource allocation. A mixed-methods approach was employed, …

Stories In Style: Interactive Fashion Exhibits As Tools For Activating Special Collections, Riley Mason

Theses

Interpretation is a museum’s most significant form of communication with visitors. Historic collections, material representations of distinct historical narratives and themes, hold objects and cultural knowledge that enable them to contextualize contemporary concepts like fashion through exhibit-based interpretation and extend these concepts beyond labels through interactivity. To investigate the role of these specialized repositories in challenging existing narratives and connecting with modern audiences, this thesis developed a collection-driven exhibit to answer the following question: how can institutions activate special collection objects through relevant interpretation and non-digital interactive experiences in exhibits? Through researching and analyzing four objects from the Bruce and …

Definitively Unfinished: Abraham Cruzvillegas’ Autoconstrucción, Disability Aesthetics, And Crip Materiality, Benjamin Brobst-Renaud

Theses

Abraham Cruzvillegas’ Autoconstrucción project is the sculptural manifestation of an approach to artmaking rooted in the self-built and continually evolving forms of the neighborhood where Cruzvillegas grew up (Colonia Ajusco near Mexico City). While it might seem surprising to draw a comparison between the forms of Autoconstrucción and Disability Studies, and while Cruzvillegas does not literally depict the disabled human form, Autoconstrucción resonates deeply with this critical space. Disability Aesthetics, in Tobin Siebers’ formulation, is “an attempt to theorize the representation of disability in modern art and visual culture.” Similarly, Jessica Cooley’s Crip Materiality is a methodology that “locates disability …

Beatrice Wanjiku: A Portrait Of Human Vulnerability, Suzanne R. Vuoncino

Theses

Abstract artist Beatrice Wanjiku uses an anatomical composition to illustrate a sense of vulnerability, an element of human identity, in relation to one’s social environment. Going beyond the skin, Untitled excavates the mental and emotional aspects of the human condition and gives expression to experience. By observing her figural composition, examining the foundation of identity theory, and interpreting her use of abstraction, I will describe how Untitled speaks to a message of connectivity through a portrait of human vulnerability. This thesis argues that one’s environment affects the individual and exemplifies how vulnerability is seen as a pervasive aspect of human …

Nextgen Humanities: A Digital Art History Pedagogical Revolution, Analisa Soverns-Reed

Theses

In response to the urgent need for more accessible, inclusive, and technologically relevant humanities education, the NextGen Humanities project was conceived as a digital initiative to reimagine pedagogical practices within art history and the broader humanities. Traditional perceptions of humanities disciplines as elite and static have contributed to declining engagement, necessitating innovative solutions that integrate open-access resources, digital tools, and inclusive frameworks. This project developed a publicly accessible platform curating free, vetted resources grounded in artificial intelligence (AI), virtual reality (VR), and open educational resources (OER), emphasizing critical engagement, cultural inclusivity, and technological adaptability. Methodologically, NextGen Humanities combined extensive literature …

Trembling At The Threshold: Zurbarán's Saints And The Crisis Of Masculine Virtue, Andrew T. Epsilantis

Theses

No abstract provided.

Unveiling: The Exploration Of The Self And Ego Dissolution, Joseph Gonzales

Theses

This project explores self and ego dissolution through painting, engaging with Buddhist notions of no-self (Anatta), Christian Mystical union, and Jungian psychology to challenge the idea of a fixed identity. Through portraiture and figurative representation, the work visually explores impermanence and the tension between the individual and the collective consciousness, utilizing transparency, multiplicity, and symbolism. This research is grounded in a multidisciplinary approach, synthesizing visual art, philosophy, and psychology. By integrating Eastern and Western philosophies, this work expands the discourse on identity in contemporary art, contributing to broader conversations on the self and the ego within wisdom traditions and psychology. …

Embracing Unpredictability, Stella Huang

Theses

This paper explores the theory and practice of combining unpredictability in life with reverse thinking in modern jewelry design. Traditional jewelry design is often based on fixed aesthetics and strict craftsmanship. This study uses three concepts of jewelry design and clothing wear that break the conventions - a silver mask worn on the face, a skirt worn above the head and not touching the human body, and jewelry made of gallium that melts at human body temperature - as cases to analyze how to express the artistic concepts of "change" and "breaking boundaries" by breaking traditional rules and using material …

Nietzschean Expressivism, Cameron Jackson

Theses

What is Nietzsche’s metaethical stance? Does he even have one? We can, I argue, reconstruct an interesting metaethical view from his writings. Rather than focusing narrowly on his claims about moral judgement, I explore Nietzsche’s philosophical psychology broadly in order to argue that he is best interpreted as holding an emotivist type of expressivism. The function of moral judgement lies within its affective and action-guiding nature, and its communal role of coordinating our evaluative attitudes with one another.

Colloidal Control Via Micellar Solutions, Timothy F. Niper

Theses

Mesoscale colloids composed of polyoctahedral silsesquioxanes (POSS) are promising candidates for the self-assembly of hierarchical structures as a continuum of size and morphology can be readily synthesized. However, there are substantial challenges in creating customized colloids that exhibit specific structural features, programmable binding, and stimuli responsiveness. Here, we explore a novel route to gain structural and directable control of these colloids by pairing them with thermoresponsive, polymeric micelles. These polymeric micelles cannot only swell the interstices of oligomeric colloidal droplets with the accuracy provided by the well-defined polymer micellization transition, but also act as absorbable colloidal depletants—a new class of …

Vigilante Justice Violence In Ghana: Does A Visible Police Force Reduce Support For Instant Justice?, John Ampomah

Theses

Vigilante justice remains a persistent issue in Ghana, with a significant portion of Ghanaians subscribing to it to address their grievances. While existing research has examined the social and cultural drivers of vigilante justice in Ghana, the role of visible police presence (i.e., police station and police patrol) on vigilante justice has received limited attention. This study seeks to add to the literature by exploring the relationship between visible police presence and support for vigilante justice by drawing on Black’s (1983) Self-Help Theory. First, I argue that a visible police force directly reduces public support for vigilante justice and indirectly …

Exploring Rural Vs. Urban Variations In Emt Scope Of Practice: Advanced Airway And Iv Access Policies, Michaela Geffert

Theses

This thesis investigates how states across the United States (US) modify the Emergency Medical Technician (EMT) Scope of Practice (SoP) to permit advanced skills, with a focus on advanced airway management via supraglottic airways (SGAs) and intravenous (IV) access procedures, and whether rurality plays a role in these decisions. While the National EMS SoP Model establishes minimum competencies for each emergency medical services (EMS) provider level, individual states often alter their standards in response to local demographic, geographic, and resource-based needs. This study reviewed SoP policies from all 50 states, and 44 states were included. Logistic regression analysis was utilized …

Protpen: A Pipeline That Combines Sequence- And Structure-Based Approaches To Predict Protein Functions, Diya Mathai

Theses

Proteins of unknown function represent a significant gap in our understanding of biological processes, with many organisms, especially prokaryotes, harboring large portions of their proteomes that remain uncharacterized. For example, in Pseudomonas aeruginosa, a major human pathogen, a large proportion of proteins are categorized as unknown or hypothetical in function. The precise number varies across species, but studies have shown that up to 30–50% of proteins in bacterial proteomes can lack functional annotations. Addressing this gap is critical to understanding the biology and pathogenicity of such organisms. Recent advancements in computational tools, particularly those in sequence and structure-based prediction, offer …

Ferroelectric Field-Effect Transistors In Analog Applications: Demonstrated In Time-Domain Neuromorphic Computing Cells, Jacob O'Donnell

Theses

In response to diminishing improvements from transistor scaling, the semiconductor field has shifted its focus to architectural innovation and emerging device technologies. Ferroelectric field-effect transistors (FeFETs) are non-volatile memory elements which offer new opportunities for energy-efficient computing, particularly in compute-in-memory (CIM) architectures. This thesis presents a novel FeFET-based computing cell integrated into a time-domain (TD) computing architecture. The proposed design is evaluated using a device model derived from experimental data and compared with competing non-volatile memory implementations. Results demonstrate improvements in area efficiency and performance, highlighting the potential of the FeFET cell for next-generation TD-CIM systems.

Collaborative Network Traffic Management Strategies Using Distributed Reinforcement Learning And Large Language Models, Saeed Rashed Alkuwaiti

Theses

The focus of this research is to explore collaborative network traffic management strategies using the Distributed Reinforcement Learning (DRL) and Large Language Models (LLMs) approaches. It emphasizes exploring a new tool for addressing network traffic by utilizing Distributed Reinforcement Learning (DRL) and Large Language Models (LLMs). This is achieved by utilizing self-organizing and self-directing techniques to optimize the network performance. Using the NF-TON-IOT dataset, various classifiers such as Random Forest, AdaBoost, C4. 5, Multi-Layer Perceptron (MLP), and SVM with an RBF kernel were tested for traffic classification and intrusion detection. Research recommends that DRL optimizes the complexity of the network …

Investigating Teachers' Perceptions On The Effectiveness Of School Inspection In Public Schools In The United Arab Emirates, Ruqaia Adel Mohammed

Theses

School inspection plays a significant role in ensuring quality education in UAE public schools. This paper investigates public school teachers’ perceptions of the effectiveness of school inspections in the United Arab Emirates (UAE) and examines the impact of teachers’ demographic factors on these perceptions. A total of 218 teachers across the UAE participated in the study. The research focused on four key domains within the School Inspection Perception Framework (SIPF): Perceived Effectiveness of School Inspections (PESI), Perceived Effectiveness of School Inspection Training (PESIT), Perceived Credibility of School Inspections (PCSI), and Perceived Usefulness of School Inspection Feedback (PUSIF). Data were collected …

Monitoring Sand Migration In Al Ain City Utilizing Remote Sensing Techniques, Sanad Salem Mohammad Fareaa

Theses

Sand migration significantly impacts urban development, infrastructure, and ecosystems in arid regions such as Al Ain city, United Arab Emirates (UAE). This study employs advanced remote sensing techniques to monitor and predict sand dune migration across the Sieh Al Hama dune field, a critical area west of Al Ain. The research objectives include quantifying dune migration rates over three years (2018–2020) using monthly Sentinel-2 satellite imagery, identifying distinct dune fields, and analyzing the textural and mineralogical properties of dune sediments to infer their provenance. Field sampling from four dunes (Large Sabra Dune, Dune 1, Dune 2, and Dune 3) was …

Study Of Falāj Pathways And Their Unknown Extension In Al Ain City Using Geophysical Methods, Saud Mohammed Alsenaani

Theses

Historically, the city of Al Ain has relied on its Falāj systems as historic water resources for freshwater, which is vital for drinking and irrigating its oases and essential for supporting life in the region for centuries, providing the foundation for communities and farming. The remarkable rainfall in 2024 uncovered several hidden ancient Falāj systems and newly enlarged versions of previously recorded ones, highlighting the importance of ongoing research for their preservation. This research project aims to examine the current Falāj systems in Al Ain, particularly Falāj Mezyad, using geophysical methods to identify uncharted extensions and to examine current Falāj …

School Leadership Insights And Practices: Understanding Bullying Prevention Strategies Among Teachers In Private And Public Schools Across The Uae, Wissal Mohsen

Theses

This thesis investigates the detrimental effects of bullying on students, including its impacts on mental health, academic performance, and overall well-being. Addressing this issue necessitates a proactive strategy involving school leaders, teachers, and parents. Data was collected via a questionnaire: selected items employed a 5-point Likert scale, while others used a multiple-choice format. Analysis was conducted in SPSS and included descriptive statistics, one-way ANOVA, t-tests, and binary logistic regression. The t-tests indicated that leadership practices implemented to prevent bullying in both public and private schools were highly effective and statistically significant (p < .05). This research contributes to our understanding of how school leadership and teacher involvement influence the efficacy of bullying-prevention strategies. By using quantitative methods, the study offers a comprehensive examination of school policies, bullying-awareness initiatives, and reporting systems. The findings highlight the importance of adopting context-specific approaches to bolster prevention efforts within schools. Future research that combines qualitative and quantitative analyses may yield deeper insights into the real-world challenges encountered in bullying-intervention strategies, thereby bridging the gap between policy formulation and practical implementation to ensure anti-bullying programs are both effective and culturally relevant.

Collection Of Self-Research Papers Analyzing The Enhancement Of Uae-China Cooperation Through Public Policy Lenses, Jiaming Lu

Theses

This thesis examines how UAE public policies can align with China’s commercial and political interests to strengthen the current strategic partnership between the two nations, with a focus on bilateral business cooperation encompassing diplomatic collaboration, free zone trade, and energy sector corporate governance. The primary objective of this thesis is to analyze whether this comprehensive relationship can be sustained or elevated to “allweather, all-round, strategic, and future-oriented” strategic partnership amid global challenges. To achieve this objective, multiple analytical models were employed to assess relevant public policies and their implementation mechanisms, including historical analysis, dynamic modeling, and socio-legal analysis. The findings …

Test Of Strategies For Production And Harvest Of Edible Roots From Hydroponic Plants, Mariam Yaslem Albreiki

Theses

Hydroponic plant cultivation is becoming increasingly popular in the UAE, especially for leafy greens and fruit vegetables. By the end of the growing cycle, the roots of hydroponic plants are usually treated as crop residues, even though roots of several species are potentially edible and could be processed into food or nutraceuticals. Root crops like sweet potato or carrot might even be grown in hydroponic systems for the primary purpose of producing edible fibrous or tuberous roots. However, the use of hydroponic systems for the production of root biomass is not yet common, and most farmers strive to produce plants …

The Historical Role Of Westward Expansion Between American Museums And Indigenous Tribes, Erika Tenorio

Theses

Erika Tenorio’s thesis explores the intersection of Westward Expansion, American museums, and Indigenous communities, analyzing how 19th- and 20th-century expansionist policies shaped museum collections and Indigenous representation. The study examines how the ideology of Manifest Destiny, rooted in the Doctrine of Discovery, justified the forced removal of Native Americans and facilitated the collection of Indigenous artifacts by museums. Many of these institutions, influenced by Western colonial perspectives, portrayed Native cultures as relics of the past rather than as living traditions.

The research incorporates postcolonial and decolonial methodologies to assess evolving narratives within museums, focusing on Indigenous sovereignty, repatriation efforts, and …

Under The Bay: Analysis Of Green Sea Turtle (Chelonia Mydas) Dive Behavior In The Urban San Diego Bay, Emily Carter

Theses

Sea turtles are air-breathing marine reptiles that spend their lives performing dives to travel, forage, and rest. Several dive types have been previously recorded for sea turtles, each type being associated with a different set of behaviors. U-dives, or Type 1 dives are widely characterized by extensive benthic periods preceded by and concluding with abrupt descent and ascent phases respectively (Minamikawa et al. 1997; Houghton et al. 2002; Seminoff et al. 2006). These dives are widely affiliated with turtle resting behavior though can be indicative of additional activities including benthic travel and foraging. Previous research of green turtle dive behavior …