Theses (IK)
Állandó link (URI) ehhez a gyűjteményhez
Theses collection of the Faculty of Informatics. The collection was started in 2011.
At the University of Debrecen, in accordance with the 2022 amendment to the 2011 Higher Education Act, student theses are only accessible from devices connected to the University's Eduroam WiFi network or from a university IP address.
“The thesis or diploma work of a student who has successfully passed the final examination shall be stored in full in the academic system of the higher education institution, and a record shall be maintained thereof. The stored theses and diploma works – with the exception of parts classified as confidential in accordance with the relevant legislation – must be made accessible and searchable without restriction through the academic system.” Further info on the National Higher Education Act in Hungarian: Felsőokt. tv. (új) - 2011. évi CCIV. törvény a nemzeti felsőoktatásról - Hatályos Jogszabályok Gyűjteménye.
Böngészés
legfrissebb feltöltések
Megjelenítve 1 - 20 (Összesen 652)
Tétel Korlátozottan hozzáférhető Development of a Web-based Budget and Finance Tracker ApplicationSrivastava, Prakarsh; Kuki, Attila; DE--Informatikai KarThis thesis presents MoneyWhere, a web-based personal finance tracker designed to help users manage income, expenses, and savings more effectively. Inspired by the “pay yourself first” principle, it promotes proactive money management through features like income and expense tracking, goal setting, budgeting caps, analytics, and automated notifications. The system is built with Spring Boot, Spring Security, Hibernate (JPA), and PostgreSQL, following a layered architecture with encrypted data handling. The frontend, developed using Thymeleaf, Tailwind CSS, and Chart.js, offers a responsive dark-themed interface with interactive visualizations. Comprehensive testing with Testcontainers ensures reliability and maintainability. Overall, MoneyWhere demonstrates a secure, scalable, and user-centric approach to modern personal finance management.Tétel Korlátozottan hozzáférhető Factors Affecting Adoption of Regulatory Technology (RegTech) in Enhancing Compliance Management: A Focus on Kenya’s Collective Investment SchemesMwarema, Allan Katakasi; Lőrinczi, Krisztián; DE--Informatikai KarThis thesis investigates the factors influencing the adoption of Regulatory Technology (RegTech) among Collective Investment Schemes (CISs) in Kenya. Using a mixed-method research design, it integrates quantitative survey data with qualitative insights from industry experts to examine how technological, organizational, institutional, and individual factors shape RegTech adoption. The analysis is guided by the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), and Institutional Theory, providing a comprehensive lens for interpreting technology adoption dynamics in compliance management processes within a regulated financial environment. The results show that all four constructs exhibit positive and meaningful associations with RegTech adoption, collectively explaining a substantial proportion of its variance. The findings indicate that effective RegTech implementation requires the combined presence of technological readiness, strong organizational support, enabling institutional conditions, and positive individual attitudes. Overall, the thesis contributes to the emerging RegTech literature in developing economies and offers practical implications for regulators, CIS managers, and technology providers seeking to strengthen digital compliance and governance.Tétel Korlátozottan hozzáférhető Artificial Intelligence in Business Process AutomationGunduz, Murad Osman Oglu; Lakatos, Vilmos; DE--Informatikai KarThe purpose of this dissertation is to explore and examine the changes in ABB's business process automation, exploring the operational, planned, and structural consequences of ABB's implementation of artificial intelligence tools.The study will analyze the application of artificial intelligence (AI) tools and methods throughout ABB's divisions, along with their effect on business operations' rhythm, accuracy, and continuity of the company's internal processes. A contextual analysis of ABB's transition showed that AI has evolved from being a supporting tool, to fundamentally redesigning the architectures of core banking processes.We first describe the importance of this transformation in Azerbaijan's modern digital economy and the increased demand for transparency, agility, and customization of banking services. In a second step, we build upon ABB's transformation of service offerings and business operations and elaborate on the machine learning models, process automation systems, and adaptive analytics frameworks that influenced this transformation. It also considers the internal impacts such as faster processing, improved fraud detection, and redeployment of human resources to higher-value tasks.The case study can act as a roadmap for the implementation of responsible and scalable machine intelligence at financial institutions.Tétel Korlátozottan hozzáférhető Artificial Intelligence and It's Influence on Business InnovationMusayev, Bayram; Lakatos, Vilmos; DE--Informatikai KarThis thesis explores the use cases of AI in business model innovation, with a fully integrated analysis of the internal key performance indicators (KPIs), applications of algorithms, and digital benchmarking strategy, through the case study of Kapital Bank.It is part of a global trend towards the more common use of artificial intelligence.At Kapital Bank, the modernization of internal processes has similar motivations, with a focus on customer services, automation, and long-term adaptability to a fast-changing environment for financial institutions.The study likewise highlights the ethical and regulatory issues associated with AI and the need for transparency and accountability in algorithmic decision-making.This study is expected to promote calculated perceptions around ethical, scalable, and sustainable transformations leveraging AI in the Azerbaijani banking context, and to make theoretical and practical contributions to finance, technology, and policy actors in a manner that integrates new models and perspectives into the discussion on responsible AI transformations in banking.Tétel Korlátozottan hozzáférhető Big Data solutions for the forecast of the air pollution PM10Marin, Nakagawa; Ujvári, Balázs; DE--Informatikai KarThis thesis explores Big Data-based approaches for understanding and preparing to forecast PM10 air pollution levels. The study focuses on data collection and preprocessing, followed by correlation analysis and heatmap visualization to reveal key relationships. A specific emphasis is placed on the interaction between wind speed and PM10 levels on the previous day. Principal Component Analysis (PCA) is applied to reduce dimensionality, and a preliminary neural network analysis is conducted using winter hourly data. While predictive modeling is left as future work, this research lays the groundwork for more advanced forecasting solutions. The findings support the potential of data-driven methods in environmental air quality analysis.Tétel Korlátozottan hozzáférhető Big Data solutions for the forecast of PM2.5Yoshida, Yuu; Ujvári, Balázs; DE--Informatikai KarThis thesis investigates the seasonal variation of PM2.5 concentrations in Debrecen, Hungary, and examines their relationship with meteorological factors. Using data from January and June 2024, the study analyzes correlations between PM2.5 and variables such as temperature, wind speed, and humidity. Principal Component Analysis (PCA) is applied to reduce dimensionality and extract key features from the data. These features are then used to train a Long Short-Term Memory (LSTM) neural network for forecasting PM2.5 levels. The model performs well in capturing winter trends but struggles with the low variability of summer data.Tétel Korlátozottan hozzáférhető Task Manager App with Deadline Sorting and RemindersBekkaoui, Ikram; Godó, Zoltán Attila; DE--Informatikai KarTaskE is an AI-powered mobile application developed to provide users with an intelligent way to organize their schedules. The traditional methods of task scheduling often lack adaptability and personalization, which led to the creation of TaskE, an app that integrates Natural Language processing and smart scheduling algorithms to generate optimized task plans based on user input. The system was built using React Native, Firebase, and TensorFlow Lite, ensuring cross-platform functionality and efficient data management. The project aims to enhance productivity and simplify time management by transforming routine planning into an intelligent, user-friendly experience.Tétel Korlátozottan hozzáférhető Implementing a Hotel Booking Website with Spring Backend to Optimize User ExperienceGhazy, Wesam Mohammed Abdulwahab; Godó, Zoltán Attila; DE--Informatikai KarThis thesis discusses the development of a hotel booking web application. I got the motivation for it from the daily struggle people in my country "Yemen" face when they try to secure an appropriate accommodation. I thoroughly analyzed the existing problem and realized the exact needs, I then engineered the application using technology that is user friendly and also modern, most important tools where React , CSS, HTML for the frontend and Spring for a robust backend. The thesis text details the entire development lifecycle, covering system implementation, testing and also an analysis of the various technologies that were used. Finally, the thesis concludes with an evaluation of the system's performance and proposes future enhancements to further improve the application functionality and user experience.Tétel Korlátozottan hozzáférhető HarmonyHub: Music Tracking Platform for Recommendations and Social ConnectivityAliyu, Sheikh; Godó, Zoltán Attila; DE--Informatikai KarThesis is about HarmonyHub, a web-based platform that bridges the gap between music streaming and social connectivity. It was built using the MERN stack. It tracks the user’s music listening history and uses that data to connect the users with similar listening habits. It provides personalized recommendations by analyzing the listening data of users with similar tastes. It provides realtime listening stats. It follows the system design principles of secure authentication and modular architecture.Tétel Korlátozottan hozzáférhető Efficient Web‐Based Library Management SystemSultan, Salah Abdelaziz Salah; Godó, Zoltán Attila; DE--Informatikai KarThis thesis describes the creation of a web-based Library Management System built with Django. The main goal is to digitalize common library tasks like cataloging books, registering users, and managing borrowing and returns in a secure, easy-to-use system. The system uses a relational database for efficient data storage and retrieval, and relies on Django’s authentication and admin tools to keep data safe and control access. Tests were carried out to check performance, reliability, and usability, showing the system works well for academic institutions. This project shows that modern web technologies can make library management more efficient and improve access to educational resources.Tétel Korlátozottan hozzáférhető Development, Design, and Implementation of Features for an Automobile Marketplace WebsiteMehdiyev, Maksud; Bujdosó, Gyöngyi; DE--Informatikai KarThis thesis covers full-stack development of an automobile marketplace website, describing everything both on theoretical and implementational level. It explains not only what technologies were selected, but also why were they chosen and how they help develop different features of the website. These features include components such as: Authorization and authentication, listing creation, bidding system and many others. This work also focuses on design of the structure and layout of the website and following of user experience design principles. Even though focus on the design isn't as big as on the technical development, websites still need to be thoughtfully designed along with being technologically developed.Tétel Korlátozottan hozzáférhető Role of Big Data in Consumer Behaviour Analysis and its impact on Digital Marketing StrategiesAlatrash, Habeeb Alrahman Mohamed A.; Bujdosó, Gyöngyi; DE--Informatikai KarThis thesis examines how Big Data reshapes consumer behaviour analysis and transforms digital marketing strategy. It integrates a comprehensive literature review with a practical, data-driven exploration using a synthetic consumer dataset. The study highlights how advanced analytics strengthen personalization, segmentation, and real-time decision-making across industries, while also exposing ethical challenges tied to privacy, transparency, and algorithmic bias. Methodologically, the thesis adopts a mixed-design approach that combines qualitative literature insights with quantitative data visualizations to bridge theory and practice. Its motivation lies in addressing the gap between behavioural understanding and strategic implementation, with the objective of demonstrating how big data can elevate digital marketing effectiveness in a real-world context.Tétel Korlátozottan hozzáférhető AI-Powered Symptom CheckerEsreb, Hani; Bujdosó, Gyöngyi; DE--Informatikai KarThis thesis will analyze how AI-driven symptom checkers in digital healthcare have changed over time, how they work, and what their ethics may entail. It explores how these tools have evolved to being more basic, rule-based systems to complex machine learning and large language model (LLM) architectures enabling personalized and conversational interactions. The paper focuses on the incorporation of Retrieval-Augmented Generation (RAG) to improve the accuracy of the facts and reliability of the data without jeopardizing the privacy of the user by conducting processing locally and on-the-dollies. With the help of RAG, the system embraces the most recent knowledge bases and, therefore, minimizes hallucinations and enhances the overall credibility of the obtained medical data. Moreover, the study is critical on the ethical, legal, and social issues surrounding the data sharing, misinformation, and user trust in the domain of digital symptom assessment. It is a discussion of possibilities of regulatory frameworks and expectations of the society that can be used in responsible deployment of such technologies. The thesis suggests the evidence-based, privacy-saving, and patient-safe technological innovation based on its final part. This framework will help in responsible AI implementation in medical situations, making them effective and accountable.Tétel Korlátozottan hozzáférhető ScreenTies: Empowering Film making through Digital NetworksMakoni, Tafadzwa Isheanesu; Vágner, Anikó Szilvia; DE--Informatikai KarIn the Thesis, we discuss Web Development and it's associated properties. The Thesis then proceeds to include the implementation of web application development; including process, properties and functionality. The Web Application implemented presents modern Technologies being used in the industry currently. I used React.Js and Chakra UI libraries in combination of CSS, HTML and javascript for my frontend and used Firebase to implement my backend, using it's Authentication, Database (firestore) and storage capabilities to my disposal. The Web app is a platform for Actors to help them apply for castings and jobs, as well as connect with other actors and expand their network. Actors can create profiles that add their personal details, skills, resume and headshot reel. In The thesis we discuss implementing the technologies required to realize the projectTétel Korlátozottan hozzáférhető Aviation Information Query System Based on Spring Boot and MySQLLin, Zipeng; Vágner, Anikó Szilvia; DE--Informatikai KarThe thesis presents the design and development of an aviation information query system based on Spring Boot, JSP, and MySQL, aiming to improve the efficiency and accuracy of aviation data management. The system adopts a B/S architecture with a three-layer structure, supporting functions such as user login, flight information management, and airport data handling. It was developed using the Myeclipse platform and integrates technologies like Java and MySQL for backend data processing. A detailed feasibility and requirements analysis was conducted to ensure the system’s practicality, scalability, and security. Testing showed that the system performs well and meets the essential needs of aviation information handling. Although some interface and database optimizations are still needed, the system lays a solid foundation for modernizing airline information management.Tétel Korlátozottan hozzáférhető AI Text To Image Generation Web ApplicationEzeldin, Mohamed Hesham Mohamed Fathy; Vágner, Anikó Szilvia; DE--Informatikai KarMy thesis focuses on developing a web application that generates images from text prompts using OpenAI's DALL·E model. I built the frontend with React, JavaScript, HTML, and CSS, which sends user prompts to the backend for image generation. The backend processes these prompts through DALL·E and returns the generated images to the frontend. To enable community sharing, users can submit their name, prompt, and image, which the backend stores in Cloudinary and logs in MongoDB. The system provides feedback on the success or failure of each image-sharing attempt. This project showcases the integration of AI-driven image generation with modern web technologies.Tétel Korlátozottan hozzáférhető Student Attendance Management SystemArmstrong-Mensah, Jason Kofi; Bérczes, Tamás Márton; DE--Informatikai KarThis thesis presents the development of an automated student attendance management system using facial recognition technology and Raspberry Pi. The project takes issues found in manual attendance methods such as human error, time wastage and administrative burden. By integrating Python, Flask, and OpenCV, the system achieves accurate face detection and recognition, while Power Automate enhances functionality through automated messaging features. The system was tested successfully, showing improved accuracy and reduced processing time compared to manual methods. Although limitations such as poor lighting and hardware constraints were noted, the project provides a solid foundation for future improvements in low-cost, intelligent attendance systems. Overall, the work shows strong technical understanding and contributes meaningfully to the advancement of automated attendance systems.Tétel Korlátozottan hozzáférhető AI-Powered Project Development: Exploring the Impact of Artificial Intelligence on Project Management ProcessesHajarat, Aref Azmi Aref; Bérczes, Tamás Márton; DE--Informatikai KarThis thesis investigates the impact of Artificial Intelligence (AI) on modern project management processes by analyzing and incorporating existing research on the subject, focusing on how technologies such as Machine Learning (ML), Natural Language Processing (NLP), and Robotic Process Automation (RPA) have been applied to enhance predictive analytics, data-driven decision making, and intelligent automation within project management. The reviewed studies collectively indicate that AI improves project performance by enhancing forecasting accuracy, optimizing resource allocation, improved cost management, reliable risk management, and continuous project monitoring. AI tools also assist in automating repetitive administrative tasks, generating analytical insights, and supporting faster data-based decisions, allowing project managers to focus on stakeholder collaboration and team leadership. However, despite these benefits, the analysis also highlights several recurring challenges identified across literature, including high implementation costs, data quality and availability limitations, and organizational resistance to change. Furthermore, ethical concerns such as data privacy, accountability, bias, and job displacement need careful management and are crucial, requiring clear policies and strict governance. In summary, the research concluded that when utilized carefully and ethically, AI functions as a robust resource that complements human skills and transforms project management into a more responsive and insightful process.Tétel Korlátozottan hozzáférhető Interpretable Hybrid Recommendation System For Personalized Skincare ProductsMustapha, Al-Amin Oluwatimilehin; Bérczes, Tamás Márton; DE--Informatikai KarThis thesis develops an interpretable hybrid recommendation system for personalized skincare product selection. The system combines ingredient-based analysis with user review sentiment extraction to generate balanced, data-driven recommendations. Using Natural Language Processing techniques, both lexicon-based (VADER) and AI-driven (GPT) methods are applied to assess user sentiment, while dermatological ingredient data are scored using a logarithmic weighting scheme. A tunable parameter (α) controls the influence between objective formulation data and subjective user feedback. Experiments show stable and interpretable ranking behavior, with optimal performance around α = 0.6. The results demonstrate the feasibility of transparent, AI-driven skincare recommendation systems that integrate scientific formulation knowledge with real-world user experience.Tétel Korlátozottan hozzáférhető Project Development using Artificial IntelligenceNatt, Khushwinderdeep Kaur; Bérczes, Tamás Márton; DE--Informatikai KarThis study establishes a robust foundation for leveraging artificial intelligence in predictive project estimation. The proposed GA-ANN hybrid framework demonstrated significant advancements in accuracy, computational efficiency, and adaptability, marking a transition from static, rule-based estimation methods to intelligent, data-driven systems. The findings underscore AI’s transformative role in enhancing project planning precision and open new frontiers for research and industrial innovation in predictive analytics and software engineering. The study opens several promising avenues for further exploration: Multi-Objective Optimization: Extending the model to optimize multiple objectives (e.g., cost, time, quality) simultaneously. Explainable AI (XAI): Integrating model interpretability techniques such as SHAP or LIME to enhance transparency. Transfer Learning: Applying the trained GA-ANN model to different domains and adapting it through fine-tuning for cross-domain prediction. Real-Time Deployment: Embedding the model into cloud-based project management platforms to provide live estimations. Automated Data Pipelines: Incorporating AutoML frameworks for feature engineering, model selection, and tuning.