Browsing by Subject "Supervised learning"

Now showing items 1-5 of 5

    • 3G and 4G paging success rate based mobile network anomaly detection using supervised and unsupervised learning 

      Ahasan, Md Rakibul (Brac University, 2022-04)
      In a mobile network, there are a lot of data that can provide network detail about network efficiency, robustness, and availability. A type of data is mobile network performance data obtained from the key performance ...

    • Breast cancer prediction using different machine learning models 

      Khandker Al- Muhaimin; Tahsan Mahmud; Sudeepta Acharya; Ashiqul Islam (Brac University, 2019-08)
      Breast cancer is often the most lethal diseases with a large mortality rate especially among women. Despite the severe effect of the disease, it is possible to pinpoint the genre of breast cancer using diff t machine ...

    • An efficient deep learning approach to detect COVID-19 infected lungs using image data 

      Kabir, Asif Rezwan; Roy, Shutirtha; Zerin, Nusrat; Afrin, Sheikh Sharia; Choudhury, Anika Jahan (Brac University, 2022-01)
      The beginning of 2020 will always be a dreadful chapter in human history. Even with all the recent advancements in the medical sector, the COVID-19 virus proved to be a major challenge for doctors all over the world. The ...

    • 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) ...

    • Wi-Fi based supervised machine learning approach to detect objects activities 

      Suzana, Samia Salam; Prome, Israt Jahan; Siddique, Ahnaf Hossain; Rahman, Zakia; Nasrin, Farzana (Brac University, 2021-01)
      Wireless signal based movement detection technologies are emerging effectively. This type of technology is quite popular compared to other ones because it relieves people from the hassle of wearing sensors and coming in ...