Now showing items 1-3 of 3

    • Crop yield prediction using machine learning and deep learning 

      Saha, Sarna; Islam, Md. Asiful; Anjum, Nishat; Mitul, Mahmudul Hasan (BRAC University, 2023-01)
      Bangladesh is an agrarian country. Though, a substantial portion of our economy and workforce depends directly or indirectly on agriculture. However, due to climate change, floods, insufficient incentives, and less grist ...
    • Identifying brain abnormalities using image processing and CNN models 

      Talukder, Ismat Shehrin; Ninty, Rifa Tasmim; Saimon, Md. Galib Hamza; Akbar, Shafkat Asif (Brac University, 2021-06)
      In a developing country like Bangladesh, it is tough to detect a brain abnormality, i.e., Pituitary tumor, Glioma, Meningioma, etc., in an early stage and treat them accordingly. In our proposed system, ML(Machine Learning) ...
    • RetinalNet-500: a newly developed CNN model for eye disease detection 

      Toki, Sadikul Alim; Rahman, Sohanoor; Fahim, SM Mohtasim Billah; Mostakim, Abdullah Al (Brac University, 2022-05)
      Fundus images are commonly used by medical experts like ophthalmologists, which are very helpful in detecting various retinal disorders. They used this to diagnose the different types of eye diseases like Cataracts, ...