Now showing items 1-14 of 14

    • Cancer classification using deep learning from medical image data 

      Monir, Raiyan Janik; Shaon, Shoeb Islam; Noman, Syed Mohammad; Iqbal, Sahariar (Brac University, 2022-01)
      Cancer is a disease in which some of the body’s cells grow uncontrollably and spread to other parts of the body. Cancer can start almost anywhere in the human body, which is made up of trillions of cells. There is usually ...
    • Computer vision-based Bengali sign language to text generation 

      Tazalli, Tonjih; Liya, Sumaya Sadbeen; Aunshu, Zarin Anan; Hossain, Magfirah; Mehjabeen, Zareen (Brac University, 2022-01)
      In the whole world, around 7% of people have hearing and speech impairment problems. They use sign language as their communication method. People from various countries use a variety of sign languages. As an example, ...
    • A deep face-mask detection model using DenseNet169 and image processing techniques 

      Bhowmik, Durjoy; Abdullah, Mohd.Rahat Bin; Islam, Mohammed Tanvirul (Brac University, 2022-01)
      The world stood still during the massive breakout of the Covid-19 worldwide. This massive outbreak of this contagious disease was occurred by being airborne. Not only COVID but also there are many other contagious disease ...
    • Deep learning-based real-time pothole detection for avoiding road accident 

      Basher, Rafsan; Ayon, Asif Raihan; Gharamy, Avijit; Zayed, Abdullah Al; Zaman, Md Samin Yeasar Ibna (Brac University, 2022-01)
      Bangladesh is a fast-developing country, and the number of roads increasing with it is immense. With the ever-growing amount of road comes the age-old problem of a pothole. This paper represents a model of deep learning-based, ...
    • Density based traffic control system for a four way intersection 

      Chowdhury, Faizul Bari; Faruqui, Tahmid Azim; Razzaque, Rylah Marzia; Iqbal, Nayeem (Brac University, 2023-01)
      Intelligent traffic system is not new to this modern world in order to mitigate traffic congestion. However, a proper management plan for a four way intersection lacks in our cities. An enhanced and optimized system is ...
    • Detecting Deepfake images using deep convolutional neural network 

      Dhar, Arpita; Acharjee, Prima; Biswas, Likhan; Ahmed, Shemonti; Sultana, Abida (Brac University, 2021-09)
      In recent years, advancement in the realm of machine learning has introduced a feature known as Deepfake pictures, which allows users to substitute a genuine face with a fake one that seems real. As a result, distinguishing ...
    • An efficient deep learning approach to detect skin cancer using image data 

      Chowdhury, Yaser Al Rahman; Ahmed, S.K.Saqlayen; Faisal, Abdullah All; Zahir, Zerjiss (Brac University, 2023-01)
      We propose and demonstrate an efficient deep learning approach to classify skin can cer using image data. The proposed approach is composed of several stages which are data acquisition, preprocessing and classification. ...
    • Explainable breast cancer detection from Histopathology images using transfer learning and XAI 

      Farabi, Farhan; Hossen, Farhan; Monsur, Farhan; Hossain, Mir Araf; Hasan, Md. Mohibul (Brac University, 2023-01)
      Nowadays, research on many diseases such as cancer has been ongoing to determine how to reduce and minimise the effect. There are many characteristics of cancer that can be identified by their consistent cell proliferation ...
    • Image processing based human detection and social distancing measurements with monitoring via fine tuned deep learning and computer vision 

      Datta, Anurag; Fatema, Kaniz; Tasnim, Nowshin; Sitara, Faria; Das, Mrithik Kanti (Brac University, 2022-05)
      The COVID-19 pandemic has significantly affected day to day lifestyle all over the planet by disequilibrating social order. It moreover added anxiety about the capability of the world’s democracies to cope with the vital ...
    • Lossless segmentation of Brain Tumors from MRI images using 3D U-Net 

      Farha, Ramisa; Nuha, Nigar Sultana; Sakib, Syed Nazmus; Rafi, Sowat Hossain; Khan, Md Sabbir (Brac University, 2022-01)
      2D computer vision and activities related to medical image analysis are remarkably guided with the help of Convolutional Neural networks (CNNs) in recent years. Since a chief portion in the available clinical imaging ...
    • A modern technique to detect potholes by Computer Vision and Deep Learning 

      Saif, Muntasir Mahmud; Badsha, Tanvir; Khan, Mohammed Arman; Sakib, Sadman; Bin Akbar, Rafeed (Brac University, 2022-09)
      Roads are connecting lines between different places and are used in our daily life but anomalies in road surface not only impact road quality but also affect driver safety, mechanic structure of the vehicles, and fuel ...
    • Reconstruction of images with RPCA and augmenting 3D model 

      Tahiti, Tasnia Jasim; Yusuf, Talha; Shakhawat, Chowdhury Abrar (Brac University, 2022-01)
      Crime scene photography is one of the most essential parts of documentation for all physical crime scenes in the field of forensic science. It is an organized and structured operation, having a goal of helping the ...
    • Skin disease detection and classification using deep learning 

      Shuvon, Mehedi Hasan; Sadia, Rowshanara; Shormi, Shanjida Habib; Arafin, Umma Tania; Chowdhury, Md. Rawha Mikdad (Brac University, 2022-01)
      Skin Diseases have been the primary focus of this study, as they are one of the most lethal diseases if not diagnosed and treated early. The research will enable the fields of Medical Science and Computer Science to ...
    • Traffic congestion detection and optimizing traffic flow using object detection, optical flow and fluid dynamics 

      Hossain, Md. Shahriyar; Bhuiyan, Md. Imtiaz; Dulali, Marjahan Akther (Brac University, 2022-01)
      Bangladesh has been suffering a severe traffic congestion issue ever since it has been on a high paced development roadmap. Researches regarding solving such traffic issue has been in the talks but has never reached a ...