Digital Commons Network^™

Assessing Readiness For Transformation From Rulebased To Ai-Based Chatbot In Uae Healthcare: A Case Study Of A Rehabilitation Hospital In Abu Dhabi, Mubarak Alketbi

Theses

This study investigates the readiness for transforming rule-based chatbots to AI-based chatbots in UAE healthcare, examining a rehabilitation hospital in Abu Dhabi through quantitative research involving healthcare professionals (N=96) and technical analysis. Findings revealed positive perceptions of the current system alongside enhancement opportunities through AI capabilities, with perceived usefulness strongly correlating with behavioural intention, high service quality ratings for empathy and responsiveness, midcareer professionals demonstrating the highest AI acceptance levels, and system integration identified as the highest priority implementation area.

The research contributes to healthcare technology transformation knowledge in the UAE by providing a structured implementation framework addressing technical requirements, …

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 …

Performance Comparison Of Iot-Powered Indoor Hydroponic Systems And Outdoor Traditional Environment, Saleha Alharthi

Theses

Traditional agriculture faces challenges, including high water consumption, greenhouse gas emissions, and fluctuations in environmental conditions. The research aims to develop alternative sustainable solutions to address issues related to traditional farming. Hydroponics provides opportunities to grow different types of vegetables indoors, where conventional agriculture is challenging. This thesis presents a comparative study of soil-based and hydroponic arugula cultivation using the nutrient film technique (NFT). The proposed methodology focuses on maintaining high similarity in the implementation of components across systems to ensure fair comparison. This thesis utilized distinct approaches. The first approach compared an outdoor soil-based system with an indoor hydroponic …

Smart Traffic Intersections: Leveraging Isac And Millimeter-Waves For Advanced Vehicle Platooning, Mohammed Risal Thadathil

Theses

The rapid advancement of self-driving cars is reshaping the transportation industry and accelerating the development of smart cities. Vehicle platooning, a key capability of autonomous vehicles, has the potential to enhance traffic efficiency, reduce congestion, and improve safety at intersections. However, maintaining platoon cohesion, minimizing latency, and optimizing traffic signal interactions remain significant challenges. This study addresses these issues by leveraging Integrated Sensing and Communication (ISAC) technology with millimeter-Waves (mmWaves) signals to optimize platooning performance at traffic signal intersections.

The research identifies gaps in existing Vehicle-to-Everything (V2X) communication frameworks, particularly in managing platoon movements in urban traffic intersections. To bridge …

A Data-Driven Recommendation System For Selecting The Appropriate Mode Of Learning And Instructional Tools Based On Course Characteristics, Ayisha Manzoor

Theses

The rapid transformation of educational delivery methods during the COVID-19 pandemic required institutions to transition between online, hybrid, and offline learning approaches, creating both challenges and opportunities for educators and students. While online and hybrid learning modes ensured continuity, their effectiveness across different course types remained uncertain. This thesis addresses this gap by developing a datadriven recommendation framework that predicts Course Learning Outcome (CLO) achievement scores using regression, and recommends the most appropriate learning mode (online, hybrid, or offline) along with instructional tools based on course characteristics. This study analyzed 100 undergraduate and postgraduate courses from the College of Information …

Hybrid Treatment Method Of Biofiltration Preceded With Advanced Oxidation Process For The Removal Of Emerging Contaminants From The Wastewater Treatment Plant Effluent, Anjali Mohan Payathuparambil

Theses

The global demand for potable quality water has been on a continuous rise. Consequently, water reuse is now considered as an alternative to significantly expand supplies of freshwater in communities facing water shortages. Most of the conventional wastewater treatment plants (WWTP) are not efficient in the removal of emerging contaminants from the water, which will cause serious issues to the environment, human and animal life. This research investigated the possibilities of treating wastewater for reuse. First, the feasibility of utilizing a biofiltration system without pre-treatment for removing emerging contaminants from the WWTP effluent was investigated. Two types of biofilter media- …

Design And Evaluation Of Geopolymer Composite As A Potential Sorbent Of Heavy Metals From Water, Ebtesam Mohammed Alghafri

Theses

Reducing the levels of heavy metals in water is crucial, given their severe environmental and health impacts. Various methods exist for heavy metals removal. Yet, they mostly come with multiple drawbacks, such as costly treatments and limited efficiency. Previous studies have found geopolymer to be a promising sorbent because it is synthesized using by-product materials, making it an eco-friendly and economically sustainable alternative. Limited studies explored the sorption potential of fly ash-slag blended geopolymers; none examined the effect of mix design factors synergically on sorption, mechanical properties, and durability, and few considered solution characteristics and operating conditions simultaneously. Therefore, this …

The Relationship Between Perceived Stress, Rumination, And Sleep Quality Among University Students, Aljazeeya Almansoori

Theses

Sleep is a crucial physiological function that underpins human health and wellbeing, profoundly affecting cognitive abilities, emotional stability, and the overall quality of life. Disruptions in sleep quality and quantity are commonly associated with increased perceived stress and rumination. This study aimed to investigate the correlations among perceived stress, rumination, and sleep quality in university students in the UAE, while also considering demographic factors such as age, gender, marital status, and educational level. It was hypothesized that higher levels of perceived stress and rumination would be associated with lower sleep quality. The study employed a cross-sectional design, involving a sample …

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 …

Detection And Quantitation Of A Drug And Pesticides In Food Products Of The Uae (Dates And Camel Milk) By Liquid Chromatographic Techniques, Afnan Wael Alanqar

Theses

In this thesis the detection and quantification of the traces of multi-residue pesticides in 26 date fruits samples as well as the presence of the anthelmintic drug thiabendazole in pasteurized commercial camel milk consumed in the United Arab Emirates is examined. The main objective of this thesis is two folds; first is to determine whether a selected 12 pesticides of 8 different chemical groups- in the case of date fruits- and the drug thiabendazole-in case of camel milk- exists in the randomly collected samples of corresponding matrices. Second, is to quantify these compounds and compare their amount to the established …

A Microgravity Investigation Of The Subsurface At The United Arab Emirates University Campus, Fidha Farzana Ismail

Theses

This thesis investigates subsurface structures within the United Arab Emirates University (UAEU) campus using microgravity survey. Gravity methods are widely used in geophysical exploration to detect density variations that may indicate subsurface anomalies. The primary objective of this research is to generate the Bouguer anomaly map of the UAEU campus to map subsurface structures and to assess potential geological hazards such as cavities. A total of 76 gravity stations were measured across the UAEU campus using the Scintrex CG-6 gravimeter. The acquired gravity data underwent standard processing to obtain the Bouguer anomaly, including tidal, instrumental drift, latitude, free air, Bouguer, …

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.

Study Of The Extension Of Cavities In Jebel Hafeet By Implementing Geophysical Methods, Mai Rashed Alkaabi

Theses

Subsurface cavities pose challenges to the buildings and their stability, leading to ground instability and subsidence. In Al Ain City, UAE, particularly in Jebel Hafeet, cavities within carbonate formations and sedimentary rocks present risks to infrastructure and urban development. This study employs Electrical Resistivity Tomography (ERT) and Gravity Surveys to detect, locate, and determine the depth of these cavities, enhancing geological understanding and geohazard assessment. The ERT survey, using a pole-dipole array, was conducted along eight lines to identify subsurface anomalies. It revealed high-resistivity anomalies (> 45 Ω·m), indicative of air-filled cavities, and low-resistivity zones (< 6 Ω·m), corresponding to water-saturated or clay-rich deposits. The ERT survey detected resistivity variations, highlighting anomalies ranging from 45 to 120 Ω·m at depths between 1 m and 17 m. The gravity survey, conducted at 28 stations, detected low-density anomalies, which aligned with high-resistivity ERT zones, confirming subsurface cavities at depths between 10 m and 220 m (below ground level). Five 3D gravity inversion models visualized density variations, revealing cavities at different depths for the models from 0 m to 195 m (a.s.l). The integration of ERT and gravity methods significantly improved cavity detection accuracy, demonstrating a strong correlation between low-density gravity anomalies and high-resistivity features. This study recommends increasing gravity station density, and avoiding heavy infrastructure in cavity-prone areas. The findings contribute to the geological understanding of Jebel Hafeet, providing insights for sustainable urban planning, risk mitigation, and infrastructure safety in Al Ain City.

Construction Of Stock Portfolios By Machine Learning Methods, Alfan Gehad Abulehia

Theses

We study the theory and application of two machine learning (ML) algorithms: Long-Short Term Memory Network (LSTM) and Random Forest. The study begins by providing an overview of mathematical foundation, highlighting the significance of mathematics in machine learning. We study and explain the mathematical details involved in these two algorithms. We also study closely related subjects which include but not limited to gradient descent, automatic differentiation, and recurrent neural network. The main ideas behind these topics form the foundation of any ML algorithms.

As an application of the ML algorithms, we focus on the U.S. stock market. We build stock …

Improving Reciprocating Compressor Valve Condition Monitoring Via An Accelerated Lifetime Tester And Deep Learning, Jacob Chesnes

Theses

The goal of this research is to improve the current condition monitoring method for diagnosing reciprocating compressor valves. Leakage, seat wear, and spring degradation are three common valve faults that are seeded into all the valves of a Dresser-Rand ESH-1 dual-acting reciprocating compressor. The method converts raw vibration data into the time-frequency domain and determines if the Continuous Wavelet Transformation or the Smoothed Pseudo Wigner-Ville Spectrum can achieve a higher classification accuracy. The Continuous Wavelet Transformation can vary its resolution through two parameters while the Smoothed Pseudo Wigner-Ville Spectrum can vary its resolution through smoothing window sizes. Both time-frequency transforms …

Enhanced 3d Sub-Canopy Mapping Via Airborne Full-Waveform Lidar, Robert J. I. Wible

Theses

Airborne light detection and ranging (LiDAR) systems have been used to gather information about forests, their canopies and what lies beneath them for many decades. Recent advances in LiDAR sensor technology have enabled higher sampling rates, leading to increased point densities for discrete point clouds. However, vast portions of the forest sub-canopy still remain either unsampled or occluded. We contend, that waveform LiDAR, as a specific type of structural modality that digitizes the intensity of the laser backscatter as a function of time (range), contains additional information that can be extracted using modern artificial intelligence (AI) and machine learning (ML) …

Investigation Of Innovative Heat Pipes / Fins System For Diesel Engine Cooling, Mohammad Shafiq Anees

Theses

Engine cooling is considered one of the most important factors that affect their efficiency and therefore their performance, so a new cooling method is proposed using both heat pipes and fins to improve the cooling efficiency of internal combustion engines and shall be examined theoretically and experimentally. A test rig has been designed and built using a specimen material with similar properties to the real engine materials with similar dimensions as the engine cylinder head / liner thickness. The experiment employed a specially designed testing apparatus that included a gas burner for consistent heating, a modifiable support structure, and an …

House Flies (Musca Domestica) In Abu Dhabi Emirate: Assessing Deltamethrin Insecticide Resistance And Associated Microbial Communities, Mohamad Abdelrahim Hamdan

Theses

This study investigates the common house fly (Musca domestica), a globally important insect that serves as both a decomposer and a mechanical vector for pathogens. The emergence of insecticide resistance, particularly knockdown resistance (kdr) mutations, has been reported in house fly populations, raising concerns for pest control. Additionally, house flies exhibit diverse bacterial communities, influencing pathogen transmission and environmental microbial dynamics. The primary objective of this study was to assess the prevalence of kdr mutations associated with insecticide resistance in house flies collected from the Abu Dhabi Emirate and to analyze their microbial composition using metagenomic approaches. House flies were …

Framing The Gaze: The Transformation Of Storytelling From Chinese Scrolls To Persian Miniature Illuminations, Lindsey A. Maslar

Theses

Miniature painting represents one of the many exquisite traditions in Islamic art, flourishing particularly during the Safavid period (1501–1736 CE). Numerous power shifts throughout Persia during this time resulted in significant cross-cultural artistic exchanges, particularly with visual culture from the Ming Dynasty. The Mongol invasion of Persia in the 13th century facilitated a profound cultural diffusion, as Persian artists and patrons selectively incorporated Chinese motifs, techniques, and spatial concepts, adapting them to suit local aesthetic and ideological frameworks. This thesis examines how the adaptation of Mongol artistic elements in Persian miniatures influenced not only stylistic conventions but also transformed the …

Fragility And Strength In Times Of War: A Series Of Embroidered Watercolors, Alisha B. Whitman

Theses

This final project report follows the production of a series of embroidered watercolors that explore how war disrupts and can destroy the values which people manage to somehow both hold dear and take for granted. These values, such as peace and freedom, are fragile, and yet they can provide great strength in dark times. This dichotomy is explored through this body of work using the materials of painted paper and thread as symbols of both fragility and strength. Choosing to work with materials and methods historically seen as feminine work add additional meaning to that symbolism. Additionally, Jewish iconography and …

Femtosecond Laser Figuring And Polishing For Freeform Optics Fabrication, Gong Chen

Theses

Freeform optics revolutionizes imaging systems by enabling compact designs and high-performance capabilities, which are crucial for applications such as augmented and virtual reality, medical diagnostics, biosensing, space exploration, remote sensing, and EUV lithography. However, fabricating freeform optical components presents significant challenges: conventional chemical and mechanical methods generate chemical waste and introduce mid-spatial-frequency errors that degrade imaging contrast. This research seeks to overcome these limitations by establishing ultrafast-laser-based figuring and finishing methods. These methods offer a fast, non-contact, flexible, and precise green solution, paving the way for sustainable, high-quality freeform optics fabrication. We expanded a laser pulse propagation model to simulate …

Advances In Machine Learning For Pain Recognition: A Review Of Algorithms, Modalities, And Outcomes, Abdulrahman Alsharif

Theses

The emergence of machine learning (ML) in healthcare has unlocked the transformative potential of pain detection and assessment. By providing new ways to address the challenges associated with subjective and inconsistent pain assessment methods. This review synthesizes recent advancements in ML-based approaches for pain detection, focusing on algorithms, modalities, and datasets. Techniques such as neural networks, transformer models, and multimodal fusion frameworks have demonstrated significant promise in identifying pain from diverse sources, including facial expressions, physiological signals, and synthetic datasets. Key contributions include novel transformer-based architectres like PainAttnNet for analyzing electrodermal activity [1], multimodal datasets such as BioVid for advancing …

Design And Application Of Molecularly Imprinted Polymers For The Detection Of Bpa, Pfoa, And Caffeine, Finbarr Buckley

Theses

Molecular Imprinted Polymers (MIPs) are polymer based solid phase extraction (SPE)recognition systems. MIPs were formulated using Acrylic Acid (AA) and Ethylene glycoldimethacrylate (EGDMA) to selectively target the following compounds Bisphenol A (BPA),Perfluorooctanoic acid (PFOA) and caffeine. This study presents novel MIPs for each targetqualitatively analysed with Raman Spectroscopy with Surface Enhanced Raman Spectroscopy(SERS) substrates. SERS can greatly enhance Raman signals allowing for detection of lowconcentration solutions. BPA, a possible carcinogen and hormone disruptor, is a very commonreagent in manufacturing as is known to leech into environmental and consumer products.PFOA, a constituent of polyfluoroalkyl substances (PFAS), can cause kidney and thyroiddisease, …

Future Scenarios Of Adoption Sustainable Materials By Construction Firms In The United Arab Emirates, Mona Albeshr

Theses

The construction industry accounts for 39% of greenhouse gas emissions, and change is required, especially with the Net Zero initiative. UAE construction companies must evaluate their current positions and update their strategies to support government regulations. Building futuristic communities is crucial for expanding the built environment within the country; however, the types of materials used should account for two aspects: sustainability and climate resilience, and both must be considered whenever these construction companies formulate their strategic response. Hence, scenario planning significantly provides valuable insights to decision-makers in construction companies’ strategic departments to envision four plausible scenarios of the external environment …

Dubai’S Future Mobility: Systems Thinking & Scenarios, Mohammed Mazloum Hanafy

Theses

Transportation is one of the essential pillars of any smart city. The future of transportation in Dubai faces enormous hurdles in urban mobility, including a growing population density, congestion, and environmental issues. Without careful planning and policy actions, these problems would certainly worsen in the future. Thus, the purpose of this thesis is to investigate the future of urban mobility in Dubai and to suggest solutions for constructing a sustainable, efficient, and equitable transportation system by employing future foresight tools. Dubai has emerged in recent years as a global center for technological innovation, altering its built environment and reevaluating its …

A Wayfarer, Roselyle Hang Zhao

Theses

This paper examines the making of A Wayfarer, a personal film that explores themes of identity, cultural belonging, and the experience of being a third-culture individual. The character Boaty represents the complexities of navigating multiple identities, as the film blends visual and sound design to convey the feeling of being "lost-in-culture." As part of my graduate thesis at the Rochester Institute of Technology, the film blends visual and sound design to convey the feeling of being "lost-in-culture." The paper discusses the creative choices behind the shift from humor to vulnerability, the challenges of depicting family dynamics, and the process of …

Reusing Underutilized Warehouses: Impact Of Iot Integration On Water Conservation In Hydroponic Farming Within Mina Zayed Warehouses In Abu Dhabi, Aysha Benyas

Theses

Urban farming is seen as an essential approach to sustainable development, particularly in arid regions like Abu Dhabi, United Arab Emirates, where limited arable land and water resources pose significant challenges. With an emphasis on reusing underutilized urban spaces like the industrial warehouses in Mina Zayed, this thesis explores the transformative potential of shifting from conventional agricultural methods to advanced smart farming approaches. The main objective of this project is to optimize the effective use of urban areas and improve water conservation in agricultural operations by integrating Internet of Things (IoT) technology into hydroponic systems within these warehouses. The research …

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 …

Analytical Method For Solving Systems Of Fractional Initial Value Problems Using The Modified Atangana-Baleanu Derivative, Lana Mohammad Aref

Theses

This thesis presents an analytical method to solve systems of fractional initial value problems using the Modified Atangana-Baleanu Fractional Derivative. The proposed approach leverages an improved operational matrix method, incorporating an iterative, direct computation technique to simplify the solution process and reduce computational costs. Foundational concepts in fractional calculus and block pulse functions are introduced, followed by the derivation of operational matrices tailored for fractional systems. Theoretical analysis establishes the existence and uniqueness of solutions, along with uniform convergence and error estimates. Practical examples and applications are presented that demonstrate the efficiency, accuracy, and versatility of the method in solving …