Now showing items 1-12 of 12

    • Affordable voice assistive intelligent glass for visually impaired people in perspective of Bangladesh 

      Peyal, Md. Mahmudul Kabir; Haque, Quazi Md. Ahnaf Ul; Tahiat, Tashfia; Habib, Sadia (Brac University, 2021-06)
      This paper describes design of affordable intelligent glass for visually impaired. A significant number of people are visually impaired or blind among the total population of Bangladesh. Most of them relied on others ...
    • Best feature selection and data visualization for breast cancer prediction 

      Hemel, Tanjim Ahmed; Parvez, Rohan (Brac University, 2019-09)
      Breast cancer (BC) is one of the most common cancers among women worldwide, representing the majority of new cancer cases and cancer-related deaths according to global statistics, making it a signifcant public health ...
    • Crime scene prediction by detecting threatening objects using convolutional neural network 

      Nakib, Mohammad; Khan, Rozin Tanvir; Hasan, Md. Sakibul (BRAC University, 4/13/2017)
      Crime scene prediction without human intervention can have outstanding impact on computer vision. In this paper, we present CNN in the use of detect knife, blood and gun in order to reach a prediction whether a crime has ...
    • Detection and recognition of Bangladeshi fishes using surf features and CNN classifier 

      Shuhin, Syed Adiba; Tajrin, Jannatul; Akhter, Afrin; Israth, Chowdhury (Brac University, 2018-07)
      This thesis proposes the detection and recognition of Bangladeshi local fishes using image processing. In the proposed model, we have successfully detected fishes using grass-fire algorithm along with other methods like ...
    • Detection of intracranial hemorrhage on CT scan images using convolutional neural network 

      Rahman, Afridi Ibn; Bhuiyan, Subhi; Reza, Ziad Hasan; Zaheen, Jasarat; Khan, Tasin Al Nahian (Brac University, 2021-09)
      Intracranial hemorrhage is an acute bleeding within the skull which can damage the brain tissue and can eventually lead to disability or even death. It is a serious medical condition that occurs when blood is built up ...
    • Diabetic retinopathy detection and classification by using deep learning 

      Hossain, Shahriar; Evan, Md. Nurusshafi; Farhin, Fariya Zakir; Nabil, Mashrur Karim; Sadman, Sameen (Brac University, 2022-01)
      Eyes are the most sensitive part of a human being and it is one of the most challenging tasks for a computer-aided system to classify its diseases. Many visionthreatening diseases such as, Glaucoma and Diabetic Retinopathy ...
    • Dynamic image analysis for abnormal behavior detection 

      Ahmed, Md. Ashik; Isha, Mushfique Ahmed; Ahmed, Al-Amin (BRAC University, 4/18/2017)
      Our world is now in such developing state where security is more of a concern rather than privacy for an individual. Nowadays, abnormal behavior detection system plays a very important role in various sectors such as, ...
    • Early detection of diabetic retinopathy using deep learning techniques 

      Gomes, Veronica Jessica; Alavee, Kazi Ahnaf; Sarda, Anirudh; Akhand, Zebel-E-Noor (Brac University, 2021-10)
      We, humans, are the bearer of diseases. While most of them have a thoroughly researched and contemplated solution set, some of them do not. Diabetes is one of those common diseases that do not have a clear solution but ...
    • Epileptic seizure prediction using bandpass filtering and convolutional neural network 

      Rahman, Tasnia; Mustaqeem, Nabiha; Priyo, Jannatul Ferdous Binta Kalam; Shahariar, Ahnaf; Sharmin, Shaila (Brac University, 2022-01)
      Epilepsy, a chronic neurological disorder, causes seizure- a fast, uncontrollable electrical disturbance in the brain. Seizures that last for a long time might result in memory loss, weariness, photo sensitivity, paralysis, ...
    • Towards solving perception based autonomous driving assistant system 

      Hossain, Md. Arafat; Rahman, Md. Sazidur; Islam, Md. Jisan Bin; Bhuiyan, Sazzad Alam (Brac University, 2021-09)
      This thesis scrutinizes the problem of perception in the self-driving car system. Selfdriving car is the face of the future and the decade’s research focus. Tech giants like Google, Uber, Tesla, Commai, Intel MobilEye ...
    • Visual object classification from fMRI data 

      Newaz, Syed Mishar; Taseeb, Taslim Ahmed; Haque, Abdullah Nurul (Brac University, 2022-01)
      Computing devices were once limited in just calculating arithmetic. Whereas, in modern computing, complex task like object classi cation or recognition has become so popular that even our smart devices cannot be thought ...
    • Visual object recognition using deep convolutional neural network 

      Ahmed, Sabbir (BRAC University, 2017)
      Visual object recognition has been lying at the convergence point between machine learning, computer vision and AI since the very beginning. From robotics to information retrieval, many desired applications demand the ...