Μεταπτυχιακές διπλωματικές εργασίες - Τεχνητή Νοημοσύνη και Οπτική Υπολογιστική
Αγγλικός τίτλος "Artificial Intelligence & Visual Computing". Συνδιοργάνωση με το Τμήμα Μηχανικών Τοπογραφίας & Γεωπληροφορικής του Πανεπιστημίου Δυτικής Αττικής και τη Σχολή Επιστημών και Τεχνολογίας του Πανεπιστημίου της Limoges
Πρόσφατες υποβολές
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Comparative analysis of modern ESRGAN models in the ill-posed problems of blind super resolution and motion-blurred /low-light image restoration
(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
(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
(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
(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
(Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2025-02-19) -
Customer journey maps: forecasting and simplifying the consumer experience through deep learning
(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
(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
(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
(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
(Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2024-02-27)Predictive Business Process Monitoring with Automated Machine Learning -
Transformer models for Greek and English language understanding
(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
(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
(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
(Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2023-09-28) -
Low light image enhancement: Classical and deep learning methods using the RELLISUR dataset
(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
(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
(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 ... -
Deep learning models for timeseries forecasting using Keras library
(Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2023-02-15)The current thesis aims to conduct a thorough examination of recurrent neural networks for the purpose of forecasting short-term electric load in Greece. The study is motivated by the significant energy crisis that Greece ... -
Assessment and comparison of existing methods and datasets for sentiment analysis of Greek texts
(Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2022-06-30)Sentiment Αnalysis is a well-known field of Natural Language Processing that is concerned with text classification. There is a vast number of papers, especially for the English language, that present state-of-the-art results ...
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