Now showing items 1-3 of 3

    • An autoencoder-based decentralized clustering leveraging model aggregation fusion strategy 

      Hasan, Nahid (Brac University, 2024-05)
      Unsupervised clustering plays a crucial role in various real-life applications. It works by grouping similar data points together based on certain features or characteristics, without the use of predefined labels. The ...
    • Bone age comparison using convolutional neural network 

      Nawaz, Fariha; Akib, Md. Samiul; Imtiaz, Asif; Ahmad, Sakib Uddin (BRAC University, 2019-04)
      In the last few years,Machine Learning has taken the world by storm. From predictive web browsing to the email and text classi cation,from the autonomous car to facial recognition, machine learning is the main core of ...
    • Exploring machine learning techniques for symptom-based detection of livestock diseases 

      Niloy, Mahir Ahmed; Bhowmik, Tanmay; Abedin, Jennifer; Ferdous, Syeda Jannatul; Jahan, Ishrat (Brac University, 2024-05)
      Effective livestock monitoring ensures food security and sustainability in our rapidly growing world. However, proper cattle disease is still not taken seriously in our country. Even in the livestock industry, it has not ...