Now showing items 1-3 of 3

    • A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI 

      Mubin, Kazi Ehsanul; Arthi, Noshin Tabassum; Rahman, Junayed; Rafi, G. M.; Sheja, Tahsina Tanzim (Brac University, 2022-05)
      Convolutional Neural Networks (CNN)-based automated approaches are vastly utilised to anticipate and diagnose cancer, saving time and reducing mistakes. Deep Learning (DL) CNN methods use a variety of probabilistic and ...
    • Fruit and vegetable freshness detection using deep learning 

      Haque, Md. Mahidul; Ahmed, Rehanul; Saha, Somak; Saha, Chamak; Dutta, Mayurakshmi (Brac University, 2022-09)
      Bangladesh’s economy depends on agriculture, which contributes significantly to GDP. It’s time to automate agriculture for increased productivity, efficiency, and sustainability. Computer Vision can assist in ensuring ...
    • A novel lightweight CNN approach for Bangladeshi sign language gesture recognition 

      Rahman, Aryan; Khan, Ahbab Ali; Shoumik, Tazwar Mohammed (Brac University, 2022-05)
      The impairment of speech impediment affects 6.9% of Bangladesh’s population. This is a condition in which people cannot communicate vocally with others or hear what they are saying, causing them to rely on nonverbal means ...