Now showing items 1-13 of 13

  • Applications of machine learning and object recognition in virtual worlds.

    Η.Μ.U, School of Engineering (ScENG), Electrical and Computer Engineering Dept
    Authors: Tzermia, Chrysoula
    Thesis advisor: Malamos, Athanasios
    Publication Date: 2022-05-11
    In this work, the application of machine learning in the division of objects (models) in the virtual space was studied in order to extract their characteristics and finally their classification and recognition. For this ...
  • Gene expression and gene regulatory network analysis with statistical methods and machine learning algorithms.

    Η.Μ.U, School of Engineering (ScENG), Electrical and Computer Engineering Dept
    Authors: Droumalia, Foteini
    Thesis advisor: Tsiknakis, Emmanouil
    Publication Date: 2023-04-10
    Determining the best approach and data type for Pathway Analysis is a significant difficulty for the field of diagnostic medicine. The findings of recent studies indicate their preference for Machine Learning algorithms ...
  • Integration of gene expressions with polymorphism data in systems biology: comparison with imaging techniques in gliomas.

    Η.Μ.U, School of Engineering (ScENG), Electrical and Computer Engineering Dept
    Authors: Iosifidis, Petros-Konstantinos
    Thesis advisor: Tsiknakis, Emmanouil; Koumakis, Eleftherios
    Publication Date: 2022-11-01
    The present work outlines core aspects of machine learning in the fields of radiomics, genomics, transcriptomics and radiogenomics. More specifically, it’s attempting through the usage of multi-type data (including medical ...
  • Machine learning-based active operating system fingerprinting dataset.

    Η.Μ.U, School of Engineering (ScENG), Electrical and Computer Engineering Dept
    Authors: Nikas, Evangelos-Polynikis
    Thesis advisor: Markakis, Evangelos
    Publication Date: 2022-10-21
    Cyber-attacks have expanded significantly and progressed in effectiveness over the past few years. As a result, vulnerabilities of targeted computer and network systems can be exploited remotely. Before the initialization ...
  • Machine learning-based near real time intrusion detection and prevention system using eBPF.

    Η.Μ.U, School of Engineering (ScENG), Electrical and Computer Engineering Dept
    Authors: Kostopoulos, Stamatios
    Thesis advisor: Markakis, Evangelos
    Publication Date: 2024-02-12
    As technology evolves rapidly, more and more critical infrastructures are going online. Malicious individuals are trying to exploit such infrastructures, thus cyber-attacks have become a major issue for users and businesses. ...
  • Gene expression analysis using deep learning.

    Η.Μ.U, School of Engineering (ScENG), Electrical and Computer Engineering Dept
    Authors: Panagiotakis, Georgios
    Thesis advisor: Marias, Konstantinos
    Publication Date: 2021-05-11
    The present work outlines the basic aspects of artificial intelligence in the field of bioinformatics and in particular the use of neural networks for the analysis of gene expressions. In the first stage, introductory ...
  • Music database development with the use of the European Digital Library (Europeana Music).

    Η.Μ.U, School of Music and Optoacoustic Technologies (SMOT), Music Technology and Acoustics Dept.
    Authors: Tsoura, Rais
    Thesis advisor: Zervas, Panagiotis
    Publication Date: 2020-10-21
    In this paper, reference is made to digital libraries, and more specifically to the European Digital Library (europeana), their necessity, advantages and disadvantages but also the challenges they face in the modern picture, ...
  • Automatic artist recognition by using machine learning methods.

    Η.Μ.U, School of Music and Optoacoustic Technologies (SMOT), Music Technology and Acoustics Dept.
    Authors: Vavagiakis, Eftychios
    Thesis advisor: Zervas, Panagiotis
    Publication Date: 2020-09-10
    The dissemination of digital musical information brought upon the creation of huge music databases which are used for both personal and professional reasons. Thus, the need was created for fast and reliable information ...
  • Consumer's attitude towards the introduction of robots in accomodation and hotel industry.

    Η.Μ.U, School of Management and Economic Sciences (SMES), Business Administration and Tourism Dept.
    Authors: Vardoulaki, Aikaterini; Roditi, Olga
    Thesis advisor: Dimou, Eirini
    Publication Date: 2020-04-29
    It is widely accepted that we are going through a period of time in which almost all human needs and everyday life are directly linked to technology. New technologies have 'invaded' the modern households and businesses, ...
  • The use of chatbots in business.

    Η.Μ.U, School of Management and Economic Sciences (SMES), Management Science and Technology Dept.
    Authors: Chasanai, Egklantina
    Thesis advisor: Vasileiadis, Giorgos
    Publication Date: 2022-05-26
    The economic environment in the modern world is changing thanks to the penetration of Artificial Intelligence technologies in the daily lives of many companies. A big part of artificial intelligence are the chatbots whose ...
  • Using chatbots for customer service and support.

    Η.Μ.U, School of Management and Economic Sciences (SMES), Management Science and Technology Dept.
    Authors: Binikou Ketsiriporn, Anastasia; Mythi, Despoina
    Thesis advisor: Vasileiadis, Giorgos
    Publication Date: 2023-09-25
    The evolution of Internet and the increased popularity of digital services have changed the way businesses interact with their customers. Chatbots is a technology that has emerged as a viable and efficient solution for ...
  • Multi-omic analysis of genomic data for the classification of glioblastoma samples.

    Η.Μ.U, School of Engineering (ScENG), Electrical and Computer Engineering Dept
    Authors: Oikonomou, Nikolaos
    Thesis advisor: Tsiknakis, Emmanouil
    Publication Date: 2023-05-10
    Clustering of individual omic datasets has proven invaluable for biological and medical research. Decreasing costs and the development of next-generation sequencing (NGS) methods now have the measurement of multi-omic data. ...
  • Signal quantification from florescent histopathological images and machine learning applications for their categorization.

    Η.Μ.U, School of Engineering (ScENG), Electrical and Computer Engineering Dept
    Authors: Papagiannakis, Stylianos
    Thesis advisor: Marias, Konstantinos
    Publication Date: 2024-01-16
    The quantification and categorization of fluorescence images constitutes a challenging goal nowadays due to the lack of a specific software. Clinicians are required to manually select and delineate regions of interest in ...