Výsledky vyhľadávania - Autoencoder convolutional profundo

  • Zobrazené výsledky 1 - 4 z 4
Upresniť hľadanie
  1. 1

    Fingerprint image enhancement using fully convolutional deep autoencoders / Destaque de imagens de impressão digital utilizando autoencoders profundos totalmente convolucionais Autor Neto, Sandoval Veríssimo de Sousa, Batista, Leonardo Vidal, Guimarães, Pedro Ivo Aragão, Souza, Túlio Emanuel Santana de

    ISSN: 2525-8761, 2525-8761
    Vydavateľské údaje: 24.05.2022
    Vydané v Brazilian Journal of Development (24.05.2022)
    “… In this paper, we propose a fast and accurate fully convolutional neural network based on an auto-encoder architecture to enhance the quality of fingerprint images…”
    Získať plný text
    Journal Article
  2. 2

    Enhancing Plant Leaf Classification with Deep Learning: Automating Feature Extraction for Accurate Species Identification Autor Ganesh, Chilukuri, Harshavardhan, Gandikota, Sri Keerthi, Naishadham Radha, Yabaji, Raj Veer, Rajveer Yabaji, Meghana Sadhu

    ISSN: 3008-9085
    Vydavateľské údaje: 06.01.2025
    “… Convolutional Neural Networks (CNNs) excel at learning intricate patterns from leaf images, extracting valuable features that contribute to accurate plant species identification…”
    Získať plný text
    Journal Article
  3. 3

    Exploring deep generative models for improved data generation in hypertrophic cardiomyopathy Autor Rayavarapu, Swarajya Madhuri, Rao, Gottapu Sasibhushana

    ISSN: 1390-650X, 1390-860X
    Vydavateľské údaje: Cuenca Universidad Politécnica Salesiana del Ecuador 01.07.2025
    Vydané v INGENIUS (01.07.2025)
    “… This study evaluates several generative models, including Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs…”
    Získať plný text
    Journal Article
  4. 4

    Classificação não supervisionada de imagens em processos de design computacional generativo Autor Vianna, Daniel Ribeiro Alves Barboza, Magalhães, Claudio Freitas de, Mineiro, Érico Franco

    ISSN: 1981-1543, 1981-1543
    Vydavateľské údaje: 31.12.2024
    Vydané v Gestão & Tecnologia de Projetos (31.12.2024)
    “… Este estudio propone una metodología basada en el aprendizaje profundo para la clasificación no supervisada…”
    Získať plný text
    Journal Article