• A comparative evaluation of machine learning and deep learning for sports predictions in table tennis 

      Κυρώσης, Μηνάς-Νικόλαος (Πανεπιστήμιο Δυτικής Αττικής, 2024-03-07)
      The surge in sports data availability has opened avenues for exploring the application of machine learning (ML) and deep learning (DL) techniques in predicting match outcomes as classification tasks across various sports. ...
    • 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 ...
    • Aria App | LittleOne Edition, η έξυπνη εφαρμογή για τη δημιουργία και αξιολόγηση μοντέλων UNET σε εργασίες κατάτμησης των αγγείων του αμφιβληστροειδούς 

      Ρεζ, Ντάνιελ (Πανεπιστήμιο Δυτικής Αττικής, 2023-09-26)
      Η ακριβής κατάτμηση των αγγείων του αμφιβληστροειδούς αποτελεί ζωτικό βήμα για πολλές ιατρικές εφαρμογές, καθώς χρησιμοποιείται ευρέως για την παρακολούθηση της εξέλιξης της υγείας και την αξιολόγηση διαφόρων οφθαλμολογικών ...
    • Artificial intelligence algorithms in the digital processing of biomedical images 

      Αλεξόπουλος, Νικόλαος (Πανεπιστήμιο Δυτικής Αττικής, 2023-03-10)
      Artificial intelligence has revolutionized the way we process and analyze data, including biomedical images. The present thesis investigates the application of convolutional neural networks (CNNs) for the classification ...
    • Artificial intelligence in medical diagnosis (with emphasis on orthopedics) 

      Σκαλέρης, Σταμάτιος-Μιχαήλ (Πανεπιστήμιο Δυτικής Αττικής, 2024-10-07)
      Early and accurate diagnosis of hip conditions, such as fractures and degenerative diseases, is crucial for ensuring that patients receive appropriate treatment on time. Delayed or incorrect diagnoses can lead to prolonged ...
    • Artificial intelligence in pharmaceutical domain (with emphasis on the data quality) 

      Οικονομίδης, Γεώργιος (Πανεπιστήμιο Δυτικής Αττικής, 2022-09-19)
      Over the past decades, computer science has been widely developed. From speech recognition to reconstructing brain circuits to even natural language understanding, one can easily claim that Machine Learning and Deep Learning ...
    • Augmentation of large language model capabilities with knowledge graphs 

      Τσακαλάκης, Βίκτωρ (Πανεπιστήμιο Δυτικής Αττικής, 2024-03-06)
      This postgraduate thesis explores the possibility for augmentation of the abilities of Large Language Models (LLMs) in the task of Question Answering by incorporating the technique of Retrieval-Augmented Generation (RAG) ...
    • Computation of the Z parameter of galaxies from astronomical data bases using deep learning techniques 

      Περατινός, Κωνσταντίνος (Πανεπιστήμιο Δυτικής Αττικής, 2025-02-27)
      This dissertation is a continuation of Apostolos Kiraleos’ work on predicting galaxy redshift. We will use a dataset provided by the Eu- ropean Space Agency’s ”Gaia Mission” and we will try to implement a neural network ...
    • 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 ...
    • 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 ...
    • Deep learning-based finger angle estimation using sEMG signals 

      Μαγοπούλου, Σταυρούλα (Πανεπιστήμιο Δυτικής Αττικής, 2025-03-06)
      This thesis focuses on creating and validating Neural Network architectures for hand gesture prediction based on electromyographic (EMG) signals generated by wearable devices. More specifically, it focuses on how deep ...
    • Deep-Learning vs Classical Machine-Learning comparison for text classification 

      Δρίζης, Ιωάννης (Πανεπιστήμιο Δυτικής Αττικής, 2022-07-08)
      The Classical Machine Learning and Deep Learning models are used to provide solutions in everyday technologies, like weather prediction, stock price prediction, voice-to-text conversion, fraud detection, quality assurance, ...
    • Evolutionary image generation with genetic algorithms and deep learning 

      Κωνσταντοπούλου, Δέσποινα (Πανεπιστήμιο Δυτικής Αττικής, 2024-10-11)
      This paper introduces GAGAN, a hybrid model that integrates Generative Adversarial Networks (GANs) with Genetic Algorithms (GA) to improve GAN performance in image generation. Traditional GANs often face challenges such ...
    • Greek patent classification using deep learning 

      Ποντίκης, Ιωάννης (Πανεπιστήμιο Δυτικής Αττικής, 2023-02-22)
      Patents are documents that contain state of the art technical and scientific information in almost every field of science. Patent applications filed every day in the Hellenic Industrial Property Organization, have to be ...
    • Lightweight model development for arrhythmia detection in wearable devices using deep learning 

      Καραγεωργίου, Στέφανος (Πανεπιστήμιο Δυτικής Αττικής, 2024-10-16)
      Cardiac arrhythmias are a common cause of morbidity and mortality worldwide. The early diagnosis and prompt treatment of cardiac arrhythmias can improve patient outcomes and prevent adverse events such as stroke and sudden ...
    • Locomotive fault prognosis via machine learning 

      Γεωργαλής, Χαράλαμπος (Πανεπιστήμιο Δυτικής ΑττικήςΠανεπιστήμιο Αιγαίου, 2021-02-19)
      Railway has played a vital role in transportation of both goods and people historically, continuing to hold an important share of the market with great potentials. Locomotives are the main part of a train and as with any ...
    • Machine learning for geophysical applications 

      Αδαμοπούλου-Σουλαντίκα, Μαριάνθη (Πανεπιστήμιο Δυτικής Αττικής, 2023-07-19)
      In recent years, Deep Learning has drawn a lot of interest from the geophysical community. It can be used for a variety of geophysical employments, by providing simpler and easier solutions to problems. It addresses problems ...
    • Physics-informed neural networks for data-efficient & accurate learning of physical systems 

      Κουτσιβίτης, Παναγιώτης (Πανεπιστήμιο Δυτικής Αττικής, 2024-10)
      Traditionally, Scientific Computing and Computer Aided Engineering software use numerical solvers for simulating physics-based models. Despite their high accuracy, numerical solvers can become very computationally intensive ...
    • Predictive business process monitoring with transfer learning 

      Χατζημηνάς, Νικόλαος (Πανεπιστήμιο Δυτικής ΑττικήςUniversité de Limoges, 2025-02-19)
    • Sign language detection 

      Σταμούλης, Στέφανος-Ιωάννης (Πανεπιστήμιο Δυτικής Αττικής, 2023-02)
      Communication is defined as the exchange of information, ideas and feelings.In order for two people to communicate with each other they must understand the same language.When a person is deaf they cannot hear and when they ...