Now showing items 1-9 of 9

    • Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks 

      Awwal, Alvina; Shomee, Homaira Huda; Sadat, Sayed Us; Amin, Sadia Nur (Brac University, 2021-01)
      Alzheimer’s disease (AD) is a neurological disease that affects the healthy cells of the brain and results in people having long-term memory loss, thinking problems, disorientation, behavioral inconsistencies and finally ...
    • Classification of common fetal anatomical planes from ultrasound imaging using dempster shafer theory and deep learning 

      Islam, A.M. Tayeful; Nujhat, Marshia; Roy, Atanu; Agomoni, Ahmed Mayeesha Reza (Brac University, 2022-09-29)
      Ultrasound (US) examination is a widely used important instrument to monitor mother and fetus health in a cost-effective and non-invasive way. The acquisition of Ultrasound (US) images to determine vital fetal organs for ...
    • 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. ...
    • 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 prodromal parkinson’s disease with fMRI data and deep neural network approaches 

      Shahriar, Farhan; Dey, Amarttya Prasad; Rahman, Naimur; Tasnim, Zarin; Tanvir, Mohammad Zubayer (Brac University, 2021-06)
      Parkinson’s Disease is the second most common neurological disease after Alzheimer’s Disease. The disease is incurable. However, if the disease can be detected earlier, then the consequences of it’s effect can be relieved. ...
    • Pest detection system using machine learning techniques 

      Prithvi, Protyusha Barua; Zahin, Fabliha; Anny, Sanjida Sultana (Brac University, 2022-01)
      Countries like Bangladesh yield a significant portion of their economy from their agricultural sector. Agricultural pests, on the other hand, have a significant impact on both agricultural production and crop storage. ...
    • Plant leaf disease identification 

      Hasan Mahin, Mohammad Rakibul; Moonwar, Waheed; Rayhan Chy, Md. Shamsul; Shahriar, Md. Fahim; Rafi, Fahim Faisal (Brac University, 2023-01)
      Agriculture has consistently been an essential component of our day-to-day life over the centuries. Because of its contribution to our country’s revenue, the importance of agriculture has been steadily growing over the ...
    • Recommendation system for mood stabilization using content recommendation 

      Al-Wakil, Kazi Md.; Rahman, Rifai; Nawal, Nafisa; Meem, Sababa Rahman; Rashid, Sajid (Brac University, 2023-09)
      In the era of accelerating technological development, society is confronted with the paradoxical situation of making technological advancements while experiencing a decline in mental health. The importance of mental ...
    • A system to prevent social violence using convolutional neural network 

      Akter, Sanzida; Omar, Mostafa Nayeem; Siam, Aanan Ehsan; Rahman, Fariha; Tanjib, Sadib (Brac University, 2023-01)
      Most women face violence in public and at home, including rape, physical and emo tional abuse, mocking, and harassment. A social violence support system might allow people to seek aid from their friends, or relatives, or ...