Geovane Miguel da Silva

@upe.br

Master's student at Polythecnic School of Pernambuco (POLI), University of Pernambuco (UPE)

Geovane Miguel da Silva

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Artificial Intelligence, Computer Engineering, Software
2

Scopus Publications

77

Scholar Citations

2

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Encryption of 3D or Higher-Dimensional Images: A Review
    Renatta Nigro, Gabriel Ferreira, Maria Alice Andrade Calazans, Geovane Miguel, Felipe Alberto B. S. Ferreira, Verusca Severo, Francisco Madeiro
    Applied Sciences Switzerland, 2025
    This article aims to review encryption techniques for 3D or higher-dimensional images. Precisely, the following classes of images are considered: light field images, point clouds, and 3D medical images. The security and performance aspects of the encryption schemes for images are analyzed. It is observed that the number of papers with encryption in the transform domain exceeds the number of papers with encryption in the spatial domain. Additionally, it is observed that the application of encryption does not predominate in all the dimensions of the images, that is, the encryption does not occur completely in the image but rather through slices or sections. This review article summarizes several issues related to encryption techniques, technical perspectives for the future, and gaps in the literature.
  • A Survey on Applications of Unmanned Aerial Vehicles Using Machine Learning
    Karolayne Teixeira, Geovane Miguel, Hugerles S. Silva, Francisco Madeiro
    IEEE Access, 2023
    Unmanned Aerial Vehicles (UAVs) play an important role in many applications, including health, transport, telecommunications and safe and rescue operations. Their adoption can improve the speed and precision of applications when compared to traditional solutions based on handwork. The use of UAVs brings scientific and technological challenges. In this context, Machine Learning (ML) techniques provide solutions to several problems concerning the use of UAVs in civil and military applications. An increasing number of scientific papers on the use of ML in UAVs context have been published in academic journals. In this work, we present a literature review on the use of ML techniques in UAVs, outlining the most recurrent areas and the most commonly used ML techniques in UAV applications. The results reveal that applications in the areas of environment, communication and security are among the main research topics.

RECENT SCHOLAR PUBLICATIONS

  • Technology-based interventions in dyslexia: A review
    L Cidrim, AHC de Moraes, GM da Silva, MOG Nogueira, MAA Calazans, ...
    Revista Psicopedagogia 42 (129), 570-580 , 2025
    2025
  • Encryption of 3D or higher-dimensional images: a review
    R Nigro, G Ferreira, MAA Calazans, G Miguel, FABS Ferreira, V Severo, ...
    Applied Sciences 15 (1), 108 , 2024
    2024
    Citations: 3
  • A survey on applications of unmanned aerial vehicles using machine learning
    K Teixeira, G Miguel, HS Silva, F Madeiro
    IEEE Access 11, 117582-117621 , 2023
    2023
    Citations: 74
  • Algoritmos de Aprendizagem Supervisionada com Conjuntos de Dados Desbalanceados para Classificação de Requisitos Não-Funcionais
    K Teixeira, G Miguel, GFM Cavalcanti, M Marinho, F Madeiro
    XV Congresso Brasileiro de Inteligência Computacional (CBIC 21), 1-7 , 2021
    2021

MOST CITED SCHOLAR PUBLICATIONS

  • A survey on applications of unmanned aerial vehicles using machine learning
    K Teixeira, G Miguel, HS Silva, F Madeiro
    IEEE Access 11, 117582-117621 , 2023
    2023
    Citations: 74
  • Encryption of 3D or higher-dimensional images: a review
    R Nigro, G Ferreira, MAA Calazans, G Miguel, FABS Ferreira, V Severo, ...
    Applied Sciences 15 (1), 108 , 2024
    2024
    Citations: 3
  • Technology-based interventions in dyslexia: A review
    L Cidrim, AHC de Moraes, GM da Silva, MOG Nogueira, MAA Calazans, ...
    Revista Psicopedagogia 42 (129), 570-580 , 2025
    2025
  • Algoritmos de Aprendizagem Supervisionada com Conjuntos de Dados Desbalanceados para Classificação de Requisitos Não-Funcionais
    K Teixeira, G Miguel, GFM Cavalcanti, M Marinho, F Madeiro
    XV Congresso Brasileiro de Inteligência Computacional (CBIC 21), 1-7 , 2021
    2021