Digital Commons Network^™

Evaluating Large Language Models For Automated Cv Ranking: A Hybrid Embedding Approach For Enhanced Recruitment, Sarah Mohamed Alhindaassi

Theses

Increasing numbers of applications have revealed limitations in legacy keyword-filtering-based Applicant Tracking Systems (ATS), which commonly overlook candidate potential and ignore contextual or transferable skills. Advances in Natural Language Processing (NLP) and Large Language Models (LLMs) offer an exhilarating alternative, supporting context-sensitive and human-crafted reasoning in candidate evaluation. This thesis systematically evaluates four classes of approaches, lexical models, embedding-based methods, Large Language Models (LLMs), and hybrid ensembles, for automation of Curriculum Vitae (CV) to Job Description (JD) matching without exploiting prior annotations or annotations at match time. Using a combination of publicly available datasets and real-world sample data covering three …

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 …

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 …

Groundwater Quality And Health Risk Assessment In The Fujairah Region Using Hydrogeochemical, Statistical, And Spatial Approaches, Mohammed Khaled Alawlaqi

Theses

Groundwater is a valuable resource in the arid climate of the United Arab Emirates, where growing population, agricultural, and industrial activities are putting increasing pressure on the limited groundwater reserves. This work investigates the hydrogeochemical characteristics of groundwater in the Fujairah region to assess water quality and potential health risks. A total of 64 groundwater samples were collected from the Eastern Shallow Aquifer (ESA) and the Ophiolite aquifer in the study area and were analyzed for physicochemical parameters, major ions, and trace metals. Hydrogeochemical methods such as Piper, Gibbs, Chadha, and Schoeller diagrams were used to identify water types and …

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 …

Investigation Of Mechanical Performance And Metallurgical Characteristics Of Titanium Grade 2 Tube-To-Tubesheet Joints, Ahmad Hussein Al Tamimi

Theses

Tube-to-tubesheet joints, an integral component of shell and tube heat exchangers, are known for their vulnerability to leakage problems at the joint region due to mechanical and chemical factors coupled with fabrication techniques involved in creating these joints. An ideal condition of manufacturing process parameters and geometrical variables required to produce tube-to-tubesheet joints is highly desired. One of the most promising candidate materials to fabricate tube-to-tubesheet joints is titanium or titanium alloys due to their excellent strength and resistance to corrosion. The present study investigates the structural integrity of three categories of Titanium Grade 2 based tube-to-tubesheet joints comprising of …

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 …

Detecting Data Poisoning Attacks In Medical Imaging: A Study On Chest X-Ray Classification Tasks, Akhila Abdulla Asgar

Theses

This thesis examines the vulnerability of AI medical imaging models to adversarial threats, with a specific focus on data poisoning attacks in chest X-ray classification. The study begins with a Systematic Literature Review (SLR) to assess the existing adversarial attacks and defenses in medical imaging, revealing a significant research gap in studies exploring data poisoning attacks in the medical domain. Based on our literature search, an efficient and lightweight defense, namely friendly noise defense, against data poisoning has not been investigated in medical imaging classification tasks. Hence, in this work, we investigated its effectiveness on the chest X-ray dataset, and …

Determination Of Variations In Orbital Parameters Of Sample Of Satellites Through Spacecraft Tracking, Asma Ali Alasmari

Theses

The continues increasing density of Resident Space Objects (RSOs) in Earth’s orbit highlights the crucial need for Space Situational Awareness (SSA). This thesis studies the orbital changes in two regions, active low Earth orbit (LEO) satellites and inactive geostationary Earth orbit (GEO) satellites. For LEO satellites we used publicly available data (two line element TLE from Space-Track) and ASTRIAGraph. We verified the orbital elements series and time ordered them, applied a Hampel (median+MAD) mask to semi-major axis, eccentricity vector and inclination to find outliers and exclude them from event detection. The events are then detected using time normalized slopes and …

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, …

Microstrip Antenna Design Based On Ai And Machine Learning, Waleed Mohamed Sha Moulavi

Theses

Microstrip patch antennas (MPAs) rely on precise impedance matching for efficient power transfer between the antenna and feed line. This is often achieved using a number of different techniques, one of which is the quarter-wavelength transformer (QWT). While commercial electromagnetic (EM) solvers offer robust optimization capabilities, they often operate as "black boxes" without providing physical insights into parameter interdependencies. Furthermore, this thesis focuses on the specific scenario where the antenna input impedance is purely real. To address the lack of explicit design relationships for these specific conditions, this thesis develops and comparatively evaluates artificial intelligence (AI) models for QWT width …

How Behavioral Science Can Improve The Return On Ai Investments, David De Cremer, Shane Schweitzer, Jack Mcguire, Devesh Narayanan

Research Collection Lee Kong Chian School Of Business

Many AI projects fail because leaders treat adoption as a tech purchase instead of a behavioral change problem. People resist tools that disrupt routines, overreact to visible AI errors, and prefer familiar human judgment. As a result, even good systems fail to gain purchase. Leaders can address this problem by applying “Behavioral Human-Centered AI” across the AI adoption cycle. In the design phrase, companies should co-design with diverse users, add purposeful friction where it improves scrutiny, require beta tests with subgroup results and behavioral input. During adoption, they should frame AI as an augmenter, disclose limits and safeguards, use explainability …

Corporeal Property And The Limits Of Nagpra, M. Alexander Pearl

Fordham Law Review

No abstract provided.

Oligarchy, State, And Cryptopia, Julie E. Cohen

Fordham Law Review

Theoretical accounts of power in networked digital environments typically do not give systematic attention to the phenomenon of oligarchy—to extreme concentrations of material wealth deployed to obtain and protect durable personal advantage. The biggest technology platform companies are dominated to a singular extent by a small group of very powerful and extremely wealthy men who have played uniquely influential roles in structuring technological development in particular ways that align with their personal beliefs and who now wield unprecedented informational, sociotechnical, and political power. Developing an account of oligarchy and, more specifically, of tech oligarchy within contemporary political economy therefore has …

Competition, Comity, And Confusion: Reconciling The Ftaia’S Import Exclusion With Its Direct Effects Provision, Elliot Lam

Fordham Law Review

The debate surrounding the Sherman Act’s extraterritorial scope represents a tension between two competing objectives: protecting the U.S. economy from foreign anticompetitive conduct on one hand and respecting the sovereign authority of other nation-states on the other. Applying U.S. law abroad risks undermining sovereign authority by regulating foreign economies, though such regulation appears necessary in some cases to protect U.S. consumers.

Congress’s attempt to square these objectives through enacting the Foreign Trade Antitrust Improvements Act of 1982 (FTAIA) failed to settle the matter. The statute left courts with two new questions: how to distinguish “import” from “nonimport” commerce, and how …

Replication-Competent, Tumor-Specific Immuno-Gene Vectors Allow For Exchange Of Transgenes And Lead To Viral Persistence Following Iv Administration, Lee S Rosen, Christian Ottensmeier, Maria Hawkins, Aung Naing, Guru Sonpavde, Brian A Van Tine, Eileen E Parkes, Sean M O'Cathail, Rui-Ru Ji, Matthew Thomas, Andrea Stacey, Maria Stella Sasso, Oliver Rosen

Faculty, Staff and Student Publications

Introduction: Enadenotucirev (EnAd) and successor transgene-armed Tumor-Specific Immuno-Gene (T-SIGn) vectors are replication-competent, blood-stable viral vectors that traffic to tumor sites following intravenous (IV) administration. Following initial proof of mechanism for this immunotherapy modality, there is a need to identify a safe dosing approach, understand whether transgenes affect tolerability, and determine how to measure exposure and pharmacodynamic effects.

Methods: Safety data from multiple phase 1 trials were aggregated to assess various dosing regimens and toxicities, including those that may be associated with transgene arming. Viral delivery to tumors, peripheral viral persistence, transgene expression, and cytokine responses were also assessed and compared …

Model Fatigue: Debugging Hector Through Climate Computational Aesthetics, Helen Pritchard, Guillemette Legrand

School of Art, Design and Architecture

In this paper, we document three computational features of the climate model Hector by translating the modalities through which the model predicts climate futures in a game engine. We build upon the computational aesthetics of M. Beatrice Fazi and Matthew Fuller (2016) and suggest additional characteristics of computation to their proposed list. We argue that these computational aesthetics are essential to climate modelling. The three features are time series, couplings and cosmograms, which are based on our practical and theoretical inquiry into Hector’s computation and literacy. We develop a framework that employs two processual methods: translating the model’s operations into …

Metabolic Flexibility As A Candidate Mechanism For The Development Of Postoperative Morbidity, Pietro Arina, John Whittle, Maciej R Kaczorek, Davide Ferrari, Nicholas Tetlow, Amy Dewar, Robert Stephens, Daniel Martin, S Ramani Moonesinghe, Evangelos B Mazomenos, Mervyn Singer

Peninsula Medical School

BACKGROUND: This study investigates the role of metabolic flexibility in determining perioperative outcomes. Metabolic flexibility, a key feature of metabolic health, is the ability to efficiently switch between different fuel sources (predominantly carbohydrates and fats) depending on energy demands and availability. Given the rapidly changing physiological conditions in the perioperative period, we hypothesized that good metabolic adaptability could mitigate postoperative complications. METHODS: We conducted a retrospective observational study utilizing a prospectively collected, single-center preoperative cardiopulmonary exercise testing (CPET) database of patients undergoing a range of major surgeries between 2012 and 2022. On day 3, patients were categorized into 3 groups …

Does Your Church's Online Presence Need An Upgrade?, S. Joseph Kidder

Faculty Publications

No abstract provided.

Virtual Reality In Esl Teaching And Learning In A Hybrid Learning Environment In The United Arab Emirates, Basma Abdulla Abri

Dissertations

This study examines the impact of Virtual Reality (VR) on the oral proficiency of EFL learners in the UAE context, with exploring the instructors and students’ perspectives on using VR as a language learning tool. The study involved 44 Emirati higher education students enrolled in an English Communications Program divided into a control group using traditional methods, and an experimental group using VR tools for communicative activities. Data collection employed mixed-methods research through questionnaire surveys involving college students and interviews with EFL instructors over a ten-week period. According to the findings, the experimental group demonstrated higher oral proficiency than the …

Defects4c: Benchmarking Large Language Model Repair Capability With C/C++ Bugs, Jian Wang, Xiaofei Xie, Qiang Hu, Shangqing Liu, Jiongchi Yu, Jiaolong Kong, Yi Li

Research Collection School Of Computing and Information Systems

Automated Program Repair (APR) plays a critical role in enhancing the quality and reliability of software systems. While substantial progress has been made in Java-based APR, largely facilitated by benchmarks like Defects4J, there remains a significant gap in research on C/C++ program repair, despite the widespread use of C/C++ and the prevalence of associated vulnerabilities. This gap is primarily due to the lack of high-quality, open-source benchmarks tailored for C/C++. To address this issue, we introduce Defects4C, a comprehensive and executable benchmark specifically designed for C/C++ program repair. Our dataset is constructed from real-world C/C++ repositories and includes a large …

Interface And Mechanical Properties Of 1d And 1d-2d Carbon Nanomaterials In Copper Matrix, Abigail L. Eaton, Arun K. Nair

Mechanical Engineering Faculty Publications and Presentations

Low-dimensional carbon nanomaterials have unique electron density distributions which warrant their classification as 1D and 2D, and they are useful for a wide variety of nanocomposite applications. This group includes 1D carbyne, which has high stiffness, and a 1D-2D hybrid composed of carbyne and a highly elastic cyclo[18] carbon ring (2D). We use density functional theory and molecular dynamics methods to study the interface properties of carbyne and the hybrid on Cu (111) surface and determine the mechanical properties of nanocomposites comprised of the nanomaterials as a fiber in Cu matrix at varying temperatures. We predict that on Cu (111) …

The Port Of Mombasa As A Potential Green Hydrogen Hub : A Techno-Economic Feasibility Study, Rose Mbula Mutevu

World Maritime University Dissertations

No abstract provided.

An Analysis Of Renewable Energy Capture Utilization For Mpulungu Harbour, Dorica Nayame

World Maritime University Dissertations

No abstract provided.

Feasibility Of Onshore Power Supply For Port Electrification : A Business Case For Ports, Atti Abbas Shah

World Maritime University Dissertations

No abstract provided.

Enhancing Seafarer Competence In Nigeria : Challenges And Opportunities, Alexander Chike Melifonwu

World Maritime University Dissertations

No abstract provided.

E-Counseling Platform For Seafarers’ Sound Mental Health : Prospects And Challenges To Implement Globally On-Board Ships, Farzana Yasmin

World Maritime University Dissertations

No abstract provided.

Enhancing Nigeria’S Compliance With International Maritime Anti-Corruption Framework, Usman Abdulrahman

World Maritime University Dissertations

No abstract provided.

Green Shipping Corridors In West Africa : Overcoming Barriers And Unlocking Opportunities For Maritime Decarbonization, Bismark Owoahene Acheampong

World Maritime University Dissertations

No abstract provided.