Browsing by Keywords "machine learning"

Now showing items 21-25 of 25

  • Inverse physical parameter estimation of vibrating membranes from sound using deep neural networks.

    H.M.U., School of Music and Optoacoustic Technologies (SMOT), MSc in Sound and Music Technologies
    Authors: Starakis, Michail
    Thesis advisor: Alexandraki, Chrysoula; Zervas, Panagiotis
    Publication Date: 2022-06-02
    Inverse problems in the field of acoustics can be valuable tools for retrieving information through the produced sound. At the same time, the rapid development of deep machine learning techniques and the remarkable ...

  • 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 ...