Now showing items 1-2 of 2

    • Deep learning approaches to EEG and fMRI data: a comparative study for sleep stage classification 

      Tanvir, Farhan; Rahman, Tanjilur; Kamal, S M Arfa; Hassan, Mahmudul; Nazia, Nowshin (Brac University, 2024-05)
      In this thesis, for classification of sleep stages, we use deep learning techniques with the help of data from fMRI and EEG. The ConvLSTM models are applied for the fMRI data. The data for the EEG is worked on with the ...
    • Tiny-ML based person identification in dynamic motion 

      Ahmed, Mirza Raiyan; Nokib, Shahed Pervez; Nafee, Shadman Ahmad; Khondaker, Jannatus Sakira (Brac University, 2024-05)
      TinyML, short for Tiny Machine Learning, focuses on small, low-power machine learning systems, with a significant emphasis on human identification. This capability is crucial in areas like access control, security, and ...