Now showing items 1-4 of 4

    • Anomalous behavior detection using Spatio temporal Feature and 3D CNN model for Surveillance 

      Nahar, Jannatun; Promi, Zarin Tasnim; Ferdous, Jannatul; Ishrak, Fatin; Khurshid, Ridah (Brac University, 2022-01)
      Anomalous and violent action detection has become an increasingly relevant topic and active research domain of computer vision and video processing, within the past few years. It has many proposed solutions by the ...
    • Comparative analysis of machine learning techniques in optimal site selection 

      Aurnab, Aukik; Choudhury, Shaktiman; Ruhan, Shoubhick Roy; Rifaiya Abrar, Shikh Muhammad; Hossain Rabbi, S.M. Riyadh (Brac University, 2023-01)
      Site selection is a crucial aspect of many businesses, as a company’s location can sig nificantly impact its success. In recent years, machine learning techniques have been increasingly used to assist with optimal site ...
    • Detection of coronary artery blockage at an early stage using effective deep learning technique 

      Promit, Tahmid Ashrafee; Khan, Md. Akibur Rahman; Arnob, Nahian; Rashid, Rabbi Nur; Reza, Afif (Brac University, 2022-09-28)
      A coronary artery blockage is a form of coronary artery disease also known as CAD. It is the most common and frequent disease affecting the human body over the age of 65. CAD is a type of cardiovascular disease that ...
    • Thoracic complication detection on chest X-rays using deep learning 

      Ratul, Rizwanul Hoque; Husain, Farah Anjum; Purnata, Tajmim Hossain; Pomil, Rifat Alam; Khandoker, Shaima (2021-06)
      Respiratory or thoracic diseases are one of the leading causes of death worldwide. Many of these diseases can be treated and prevented with proper diagnosis and early care. The diagnosis of thoracic diseases is mainly ...