Suchergebnisse - Autoencoder convolutional profundo

Andere Suchmöglichkeiten:

  • Treffer 1 - 4 von 4
Treffer weiter einschränken
  1. 1

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

    ISSN: 2525-8761, 2525-8761
    Veröffentlicht: 24.05.2022
    Veröffentlicht in 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 …”
    Volltext
    Journal Article
  2. 2

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

    ISSN: 3008-9085
    Veröffentlicht: 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 …”
    Volltext
    Journal Article
  3. 3

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

    ISSN: 1390-650X, 1390-860X
    Veröffentlicht: Cuenca Universidad Politécnica Salesiana del Ecuador 01.07.2025
    Veröffentlicht in INGENIUS (01.07.2025)
    “… This study evaluates several generative models, including Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs …”
    Volltext
    Journal Article
  4. 4

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

    ISSN: 1981-1543, 1981-1543
    Veröffentlicht: 31.12.2024
    Veröffentlicht in Gestão & Tecnologia de Projetos (31.12.2024)
    “… Este estudio propone una metodología basada en el aprendizaje profundo para la clasificación no supervisada …”
    Volltext
    Journal Article