Browsing by Subject "Inception v3"

Now showing items 1-4 of 4

    • Approaching transfer learning to identify correctly worn facial masks 

      Sadid, Tausif; Hossain, Md Sadik; Sengupta, Sudip Kumar; Khondaker, Serazam Munira (Brac University, 2021-06)
      Climate change has made the outbreak of diseases, especially airborne and contagious diseases much more extreme. Therefore, wearing masks has become essential in protecting ourselves not only from very common airborne ...

    • Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models 

      Islam, Tahsin; Absar, Shahriar; Nasif, S.M. Ali Ijtihad; Mridul, Sadman Sakib (Brac University, 2021-10)
      The world is going through a severe viral pandemic which is caused by COVID- 19. People infected with this virus, experience severe respiratory illness. The virus spreads through particles of saliva or droplets from an ...

    • An efficient deep learning approach for detecting Alzheimer’s disease using brain images 

      Sani, Mehedi Hasan; Rahman, Mohibur; Achib, Md. Abdullah Al; Hossain, Rakib (Brac University, 2022-01)
      Alzheimer’s disease (AD) is a disorder of the brain which causes the loss of memory. This is a successively growing disease which means the severity of it will be upward with the time. In this century, AD is one of the ...

    • Tomato leaf disease detection using convolutional neural network 

      Hasan, Md. Riazul; Hossain, Md. Shajib; Islam, Md. Minhajul; Rahman Apu, Md. Rejoanur; Moli, Farzana Akter (Brac University, 2023-01)
      The fertile soil and easy access to water make agriculture more suitable and valu able for Bangladesh. Most people are directly or indirectly dependent on agricultural products for their livelihood. Agriculture plays an ...