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

  • 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 ...
  • Deep learning models for timeseries forecasting using Keras library 

    Ζέλιος, Βασίλης (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 

    Φραγκής, Νικόλαος (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 ...