Now showing items 1-4 of 4

    • Classification of modulated motor cortex based on Anodal and Cathodal tDCS 

      Chowdhury, Zarif Ahmed; Alam, Dewan Nahidul; Nahid, Md. Abu Fattah Hossain Bhuiyan (Brac University, 2019-12)
      Over the centuries, humans have wished to achieve the ability to understand the inner functions of the mind and brain. Neurofeedback is the procedure which has an influence on physiological brain conditions that takes ...
    • A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning 

      Sarmi, Kaniz Fatima; Rahman, Shaikh Mahmudur; Sultana, Nusrat Jahan; Anzoom Shanto, Khandaker MD. Asef (Brac University, 2021-10)
      Depression and mental health issues (stress, nervousness, panic attacks, anxiety attacks etc.) are nowadays a major issue in the whole world. It is a common cause of mental illness that has been linked to an increased ...
    • Movie recommendation using link prediction 

      Dhrubo, Md Alif-uz-zaman; Supty, Tasfia Chowdhury; Hossin, Md Rakib; Rahman, SM Ashfaqur; Das, Ananya (Brac University, 2021-09)
      Link prediction is an important task for analyzing movie recommendation which also has applications in other domain like, information retrieval and bioinformatics. Proximity measure quantify the closeness or similarity ...
    • Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease 

      Hasan, M. M. Kamrul; Angan, Farhan Faisal; Rashid, Tasmim (Brac University, 2021-09)
      eep learning, a cutting-edge machine learning technique, has outperformed classical machine learning at detecting detailed structures in complex multi-dimensional data, particularly in the field of computer vision. As ...