Now showing items 1-4 of 4

    • Accurate analysis of mood detection using eye-images rather than facial expression recognition (FER) 

      Hossain, Arafat; Chakraborty, Akash; Syara, Syeda Rifa; Rahman, Saadman; Tanmoy, Fahad Muntasir (Brac University, 2022-06-05)
      There are several works on mood detection by machine learning from physical and neuro- physical data of people, along with works on emotion recognition using eye-tracking. We want to show that a person’s mood can be detected ...
    • Categorization of human monkey-pox from skin lesion images based on transformer and ensemble learning using GRADCAM 

      Hassan, Ibne; Tahsin, Raida Mobashshira; Toma, Sadia Shara; Utchhash, Tausif Tazwar Quadria (Brac University, 2023-01)
      As the world keeps healing from the worldwide outbreak of COVID-19, the MPOX virus poses a new risk. The Mpox virus is not as deadly or contagious as COVID-19, but new patient cases are recorded every day from a wide ...
    • Emotion recognition using EEG signal and deep learning approach 

      Islam, Sayedi Hassan Bin; Mehdi, Md. Quamar; Rohan, Bhuiyan Yash; Mahmood, Syed Atif Imtiaz (Brac University, 2019-08)
      Emotion is a mental state, which originates in the brain and is closely related to the nervous system. Emotion can be defined as a feeling expressed through, or detectable by voice intonation, facial expression body ...
    • Skin lesion classification using different CNN models 

      Oli, Md. Yahea Sultan (Brac University, 2023-05)
      The field of dermatoscopic image classification has gained significant attention as there is a growing demand for early diagnosis of specific diseases. The use of deep learning is increasingly significant in the quest ...