Now showing items 1-3 of 3

  • Categorical embedding with Deep Learning.

    Η.Μ.U, School of Engineering (ScENG), Electrical and Computer Engineering Dept
    Authors: Giannakos, Iakovos
    Thesis advisor: Tsiknakis, Emmanouil; Koumakis, Eleftherios; Marias, Konstantinos
    Publication Date: 2021-02-04
    The study conducted in the framework of the dissertation on "Categorical embedding with deep learning". To clarify, the purpose of the dissertation is to study and implement a word-embedding neural network for genomic data ...
  • Review of neural networks and deep learning and design and implementation of a deep learning neural network using cuda C.

    Η.Μ.U, School of Engineering (ScENG), Electronic Engineering Dept.
    Authors: Maragoudakis, Antonios
    Thesis advisor: Konstantaras, Antonios
    Publication Date: 2023-07-14
    The transition from the serial code in parallel combined with applications with large data gave birth to the heterogeneous parallel programming. He leverages both the CPU and graphics card instructing the last parallel ...
  • Pain detection through biosignal analysis.

    Η.Μ.U, School of Engineering (ScENG), Electrical and Computer Engineering Dept
    Authors: Kalogeraki, Maria
    Thesis advisor: Tsiknakis, Emmanouil
    Publication Date: 2022-05-12
    Pain is a complex and subjective experience. Accurate detection of pain is an important tool in assessing patients' health within the medical community. Current approaches for the detection and estimation of pain include ...