Search Results - (( brain computer modified algorithm ) OR ( java implication based algorithm ))

  • Showing 1 - 12 results of 12
Refine Results
  1. 1
  2. 2

    Investigation Of Edge Detection Techniques Based On Brain Tumor Images by Rosnan, Murni Nur Athirah

    Published 2018
    “…However, from visual perspective, Sobel operator produced better edge maps of the brain tumor compared to the Modified Canny algorithm.…”
    Get full text
    Get full text
    Monograph
  3. 3

    Data-driven brain emotional learning-based intelligent controller-PID control of MIMO systems based on a modified safe experimentation dynamics algorithm by Shahrizal, Saat, Mohd Ashraf, Ahmad, Mohd Riduwan, Ghazali

    Published 2025
    “…Furthermore, the low computational burden of MSEDA rendered it a strong alternative to heuristic multi-agent algorithms, which frequently encounter high computational costs with large controller design parameters.…”
    Get full text
    Get full text
    Get full text
    Article
  4. 4

    Data-driven brain emotional learning-based intelligent controller-PID control of MIMO systems based on a modified safe experimentation dynamics algorithm by Shahrizal, Saat, Mohd Ashraf, Ahmad, Mohd Riduwan, Ghazali

    Published 2025
    “…Furthermore, the low computational burden of MSEDA rendered it a strong alternative to heuristic multi-agent algorithms, which frequently encounter high computational costs with large controller design parameters.…”
    Get full text
    Get full text
    Get full text
    Article
  5. 5
  6. 6

    Electroencephalogram-based decoding cognitive states using convolutional neural network and likelihood ratio based score fusion by Zafar, R., Dass, S.C., Malik, A.S.

    Published 2017
    “…However, EEG is an important technique, especially for brain-computer interface applications. In this study, a novel algorithm is proposed to decode brain activity associated with different types of images. …”
    Get full text
    Get full text
    Article
  7. 7

    Decoding of visual activity patterns from fMRI responses using multivariate pattern analyses and convolutional neural network by Zafar, R., Kamel, N., Naufal, M., Malik, A.S., Dass, S.C., Ahmad, R.F., Abdullah, J.M., Reza, F.

    Published 2017
    “…MVPA uses machine learning algorithms to classify different brain states and helps in prediction during the task. …”
    Get full text
    Get full text
    Article
  8. 8
  9. 9
  10. 10
  11. 11
  12. 12