• Augmented reality and visual computing in the Unity enviroment 

  Ηλία, Άννα (Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2024-02-22)

  This thesis explores the fusion of Augmented Reality (AR) and Photogrammetry within cultural realms. AR merges real and digital environments, offering practical applications across various cultural domains, while ...

• A Python-based toolbox for genetic algorithms benchmarking 

  Φυργιόλας, Ευάγγελος (Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2025-04-02)

  This master thesis presents the design and development of a Python-based toolbox for evaluating and benchmarking genetic algorithms across a variety of optimization problems. It provides a thorough review of the fundamental ...

• Research and review of machine learning algorithms for clustering and using rules on primary data 

  Σκλάβος, Ιωάννης (Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2025-02)

  This thesis focuses on the use and comparison of clustering algorithms on data and the extraction of association rules in order to demonstrate the usefulness of these techniques in extracting information. In the first ...

• Comparative analysis of modern ESRGAN models in the ill-posed problems of blind super resolution and motion-blurred /low-light image restoration 

  Ρουσελάτος, Γεώργιος (Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2025-02-27)

  This work explores the task of super-resolution using advanced GAN-based architectures tailored specifically for this purpose. A primary focus is addressing the inherent challenges of the ill-posed nature of super-resolution ...

• Recurrent fuzzy neural networks for time-series prediction 

  Χριστοδουλίδης, Αναστάσιος (Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2025-03-05)

  Time series forecasting is a fundamental challenge in many scientific and industrial domains, especially when dealing with chaotic and highly nonlinear systems. Traditional forecasting models, including Artificial ...

• Real-time fraud detection using big data and ml techniques 

  Καστρινός, Θεόδωρος (Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2025-02-13)

  Fraud detection in financial transactions finds great importance in the fight against financial crime. In this thesis, two models are developed: CatBoost and Light Gradient Boosting Machine for classifying transactions ...

• Advanced signal processing and machine learning techniques for muon orbital hit localization in the ATLAS experiment at CERN 

  Αθανασοπούλου, Φωτεινή (Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2025-02-20)

  This research focuses on enhancing muon hit localization in the Micromegas detectors of the New Small Wheel (NSW), a critical upgrade to the ATLAS Muon Spectrometer at CERN. By integrating advanced signal processing ...

• Predictive business process monitoring with transfer learning 

  Χατζημηνάς, Νικόλαος (Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2025-02-19)

• Customer journey maps: forecasting and simplifying the consumer experience through deep learning 

  Μπάκας, Νικόλαος (Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2025-01-24)

  This study focuses on the use of deep learning and Analytics for providing a better overall consumer experience and pinpointing potential weaknesses in an existing Business Model. Consumer habits and behaviors can be ...

• 3D Reconstruction based on NeRF and SDF methods: A comparative evaluation using RGB-D data 

  Δήμου, Ζωή (Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2025-01-21)

  This thesis explores the process of 3D scene reconstruction using a depth (RGB-D) camera, combined with advanced methodologies in artificial intelligence and visual computing. The research involves capturing real-world ...

• Real estate property comparison in the greek market using advanced image similarity methods and web scraping techniques 

  Τζάνα, Ασημίνα (Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2024-09-26)

  The dynamic and complex nature of the real estate market, especially in regions like Greece with its diverse platforms and non-standardized content, poses significant challenges in data collection and analysis. This thesis ...

• Forgery detection using machine learning and image processing 

  Καρυστινός, Αλέξανδρος (Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2024-07-17)

  In an era where digital transactions and document authentication play a central role, the need for strong and secure methods to verify handwritten signatures is paramount. This thesis explores the intersection of traditional ...

• Predictive business process monitoring with automated machine learning 

  Καφταντζής, Σάββας (Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2024-02-27)

  Predictive Business Process Monitoring with Automated Machine Learning

• Transformer models for Greek and English language understanding 

  Μαγειρίδης, Χαράλαμπος (Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2024-02-27)

  This thesis examines the effectiveness of Transformer models in natural lan- guage processing (NLP), focusing on text classification and sentiment analysis for both Greek and English texts. It marks a significant advancement ...

• State-of-the-Art methods for camera calibration in computer vision and photogrammetry 

  Χιαμπόπουλος, Χρήστος (Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2023-10)

  The camera calibration process has been a prominent subject of research in photogrammetry and computer vision for decades. It is an essential part of numerous applications in which it directly affects accuracy and geometric ...

• Visual scripting tools for machine learning development 

  Κύρκος, Παναγιώτης (Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2023-09-28)

  In computer science and not only, many and various software exist to design and implement different system using purely visual methods. These methods can greatly vary depending on the task to be solved and the field that ...

• A review on experimental methods utilized in map perception and cognition 

  Σκουλάς, Γεώργιος (Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2023-09-28)

• Low light image enhancement: Classical and deep learning methods using the RELLISUR dataset 

  Κουτσαύτης, Παναγιώτης (Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2023-09-14)

  It is well known that digital images are used every day in many fields, which include medicine, agriculture and law enforcement. The systems used in the above fields require the input images to be of high quality without ...

• Detection and classification of grapevine varieties using multispectral image analysis and vegetation indices 

  Κουρουνιώτη, Ολυμπία (Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2023-07-18)

  The present master thesis focuses on investigating and analyzing issues related to the detection of grapevine varieties through the analysis of specific grapevine properties. These properties mostly concern the amount of ...

• Adolescent cyberbullying symptoms and proper response through an educational game in Unity 

  Κουτσουλάφτη, Ελενη (Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2023-07-17)

  This thesis focuses on the development of an educational game aimed at raising awareness and providing valuable insights into the phenomenon of cyberbullying among adolescents aged 10 to 14 years old. Cyberbullying has ...

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