Browsing by Academic Department "Τμήμα Πληροφορικής και Τηλεπικοινωνιών"

Now showing items 1-20 of 140

    • A Deep Learning approach for modeling the spatial distribution of contaminants in the Black Sea 

      Alygizakis, Nikiforos (Πανεπιστήμιο Πελοποννήσου, 2022-05-04)
      Black Sea (BS) is an important ecosystem, which is affected by various anthropogenic pressures, such as shipping activities, wastewater inputs from large coastal cities and most importantly loads by major rivers (e.g., ...

    • A framework for the collection, aggregation, collation and prediction of meteorological data 

      Ξενάκης, Δημήτριος (Πανεπιστήμιο Πελοποννήσου, 2024-03)
      Nowadays, there are several different sources (weather stations, sites) of meteorological data, regarding a specific geographical area, however it remains uncertain and unclear how much these data converge. One approach ...

    • A FRAMEWORK FOR THE COLLECTION, STORAGE AND VISUALISATION OF BIG MARITIME DATA 

      Σπηλιάκος, Γεώργιος (Πανεπιστήμιο Πελοποννήσου, 2024-10)
      The maritime industry generates vast amounts of daily data and many times publicly available are incomplete; effectively managing and deriving insights from this data remains a significant challenge. The aim of this thesis ...

    • A Framework for the Collection, Storage and Visualisation of Big Maritime Data 

      Σπηλιακος, Γεώργιος (Πανεπιστήμιο Πελοποννήσου, 2024-09)
      Ηβιομηχανία της ναυτιλίας παράγει καθημερινά τεράστιους όγκους δεδομένων, και σε πολλές περιπτώσεις τα δεδομένα που είναι δημόσια διαθέσιμα είναι ελλι- πή. Η αποτελεσματική διαχείριση και εξαγωγή συμπερασμάτων από αυτά ...

    • A Matlab to C vectorizing compiler exploiting custom instructions of targeted processors 

      Latifis, Ioannis (Πανεπιστήμιο Πελοποννήσου, 2017-02)
      Στην παρούσα διδακτορική διατριβή παρουσιάζεται ένας μεταγλωττιστής της γλώσσας MATLAB ο οποίος παράγει κώδικα C αξιοποιώντας εντολές ειδικού σκοπού του εκάστοτε επεξεργαστή στόχου όπως εντολές επεξεργασίας πολλαπλών ...

    • A study on the impact of prior distributions in Bayesian inference 

      Γόντικα, Μαρία (Πανεπιστήμιο Πελοποννήσου, 2024-04-10)
      This thesis delves into the critical role that prior distributions play in Bayesian statistical analysis. Through a series of meticulously chosen practical examples, the research explores the nuanced effects of conjugate, ...

    • Advances in metrics and e-commerce evaluation techniques 

      Aivalis, Constantine J. (Πανεπιστήμιο Πελοποννήσου, 2020-05)
      The “Abstract” chapter starts with an attempt to define Analytics and Analytics application characteristics and scope and present the overlap of Analytics with existing sections of Informatics. It continues with the ...

    • AI Driven Early Warnings of Defaults on Performing Credit: A Machine Learning Case Study of the Greek Lending Market 

      Κανελλόπουλος, Αναστάσιος (Πανεπιστήμιο Πελοποννήσου, 2024-12-20)
      This thesis aims to apply machine learning (ML) models to predict loan defaults on current accounts in the context of the Greek lending market. Using a unique data set from Qualco, a leading supplier of financial risk ...

    • AI-driven rehabilitation indicators for non-performing credit 

      Κιντή, Αικατερίνη (Πανεπιστήμιο Πελοποννήσου, 2025-01)
      The banking sector and lending organizations are undergoing significant transformation, driven by advancements in Machine Learning (ML). A pivotal application of ML in this domain is loan default prediction, which is ...

    • An Electronic Nose System for Urban Search and Rescue Operations 

      Ανυφαντής, Αντώνιος (Πανεπιστήμιο Πελοποννήσου, 2021-06-28)
      Σε αυτή τη διδακτορική διατριβή παρουσιάζεται η επιτυχημένη δοκιμή ενός συστήματος ηλεκτρονικής μύτης, καθώς και όλη η έρευνα που χρειάστηκε για να προκύψει αυτή, και η οποία έχει ως σκοπό την ανίχνευση παγιδευμένων ανθρώπων ...

    • Aspect Based Sentiment Analysis on hotel reviews in Greek 

      Τσίντζουρας, Δημήτριος (Πανεπιστήμιο Πελοποννήσου, 2021-07)
      In recent years, a rising number of businesses have used the feedback mechanism of reviews for their products and services in order to adapt to changing consumer demands. Sentiment identification from texts (Sentiment ...

    • Aspect Based Sentiment Analysis on User-generated Content 

      Ντέβα, Μαρίνα (Πανεπιστήμιο Πελοποννήσου, 2022-05-16)
      Lots of research has been done in the field of natural language processing as far as the part of sentiment analysis is concerned. On top of that, other research focused more specifically on the aspect to which the sentiment ...

    • Automated test generation and marking using Local LLMs 

      Παπαχρήστου, Ιωάννης (Πανεπιστήμιο Πελοποννήσου, 2025-02-21)
      This case study presents an innovative exam creation and grading system powered by advanced Natural Language Processing (NLP) and Llama 3.1. The system generates clear, grammatically accurate questions in English and ...

    • ChatBot for Cyber-Security based on RASA Framework 

      Μαράντος, Αλέξανδρος (Πανεπιστήμιο Πελοποννήσου, 2024-06-28)
      With the ever-increasing complexity of cybersecurity threats and vulnerabilities, the need for efficient and effective vulnerability management solutions tends to be vital. This proposed cybersecurity chatbot seeks to ...

    • Cloudstudy: a web-based system for supporting multi-centre studies 

      Tsafara, Amalia (Πανεπιστήμιο Πελοποννήσου, 2014)
      Οι επιδημιολογικές μελέτες είναι ένα απο τα σημαντικοτερα εργαλεία που χρησιμοποιούνται σήμερα στην έρευνα της (βιο)ιατρικής επιστήμης. Οι μεγάλης έκτασης επιδημιολογικές μελέτες που περιλαμβάνουν ένα μεγάλο αριθμό ...

    • COMBINING AND COMPARING HIERARCHICAL ATTENTION AND COMPOSITION-BASED GNNS FOR KNOWLEDGE GRAPH COMPLETION 

      Παπαδημας, Φωτιος (Πανεπιστήμιο Πελοποννήσου, 2024-07-18)
      Graph Convolutional Networks (GCNs) have enabled the application of deep learning methods to large graphs. These models create an embedding representation for each node in the graph, and we train the model on these embeddings. ...

    • Comparison of full-text search performance in relational and non-relational database systems 

      Φωτόπουλος, Γεώργιος (Πανεπιστήμιο Πελοποννήσου, 2022-11)
      In this work, we aim to compare and report the performance between relational and non-relational database systems in text retrieval, and more speci cally in full-text search. This comparative study is focused on the ...

    • Comparison of full-text search performance in relational and non-relational database systems 

      Φωτόπουλος, Γεώργιος (Πανεπιστήμιο Πελοποννήσου, 2022-11)
      In text retrieval, full-text search refers to techniques for searching a single computer stored document or a collection in a database. In a full-text search, a search engine examines all the words in every stored document ...

    • Contemporary Machine Learning Methods For Twitter Bot Detection 

      Bouras, Andreas (Πανεπιστήμιο Πελοποννήσου, 2023-06-21)
      The aim of this thesis is to provide a comprehensive review of the current state of the art in detecting bots active on the social media platform of Twitter through the use of machine learning algorithms. Bots can be ...

    • Convolutional Neural Networks for Automated Detection of ULF Waves in Swarm Time Series 

      Αντωνοπούλου, Αλεξάνδρα (Πανεπιστήμιο Πελοποννήσου, 2020-09-25)
      Ultra-low frequency (ULF) magnetospheric plasma waves play a key role in the dynamics of the Earth’s magnetosphere and, therefore, their importance in Space Weather studies is indisputable. Magnetic field measurements from ...