Now showing items 1-5 of 5

    • Brain hemorrhage detection using hybrid machine learning algorithm 

      Iqbal, Khondoker Nazia; Azad, Istinub; Emon, Md. Imdadul Haque; Amlan, Nibraj Safwan; Aporna, Amena Akter (Brac University, 2022-01)
      Machine learning (ML) helps computers learn and program data without humans’ help. According to data scientists, machine learning can extract 60% high-quality information, reduce the cost up to 46%, and increase operation ...
    • Classification technique for face-spoof detection in artificial neural networks using concepts of machine learning 

      Una, Anika Anjum; Haque, Erina; Ritu, Nishat Sultana; Haque, Zarin Tasnim; Opal, Rifat Shahran (Brac University, 2021-06)
      In biometric technology, face recognition techniques are considered the most signif icant research area. This technology is abundantly used in security services, smart cards, surveillance, social media, and ID verification. ...
    • Deep Learning based Bangla Voice to Braille Character Conversion System 

      Iqbal, Syed Bayes; Rifat, Riazul Islam; Hussain, Md Akif; Biswas, Simon (Brac University, 2022-05)
      From the very beginning of the 20th century, there has been a significant devel opment in the education system using modern technology. However, this rapid development has very little scope to facilitate the education ...
    • Detection of pneumonia from chest X-ray images using machine learning 

      Priya, Afsana Rahman; Sarkar, Kashmira; Khan, Tania Rahman; Turna, Sohani Fatehin; Mubashshira, Sadia (Brac University, 2023-05)
      A bacterial infection is the cause of the lung condition known as pneumonia. An essential component of a successful treatment procedure is early diagnosis. Without early diagnosis, pneumonia can be severe or even can cause ...
    • An efficient approach to detect melanoma skin cancer using a custom CNN model 

      Rahman, K.M Saidur; Amin, Tanjim Bin; Rahman, Mahdi Sakib; Sakib, G M Shadman Hossain (Brac University, 2022-09-28)
      Despite only making up 1% of all occurrences of skin cancer, melanoma is one of the most prevalent forms to cause fatalities in recent years. Melanoma has a survival rate of more than 50% from the early stages to the ...