Now showing items 1-11 of 11

    • Assisting the visually impaired people using image processing 

      Rahman, Ferdousi; Ritun, Israt Jahan; Farhin, Nafisa (BRAC University, 2018-07)
      Visually impaired people face difficulties in safe and independent movement which deprive them from regular professional and social activities in both indoors and outdoors. Similarly they have distress in identification ...
    • Bengali hand sign language recognition using convolutional neural networks 

      Rumi, Roisul Islam; Hossain, Syed Moazzim; Shahriar, Ahmed; Islam, Ekhwan (BRAC University, 2019-04)
      Throughout the world the number of deaf and mute population is rising ever so increasingly. In particular Bangladesh has around 2.6 million individuals who aren't able to communicate with society using spoken language. ...
    • Detection and 3D visualization of Brain tumor using deep learning and polynomial interpolation 

      Tuhin, Md. Akram Hossan; Pramanick, Tarunya; Emon, Humayoun Kabir; Rahman, Wasiur (Brac University, 2019-04)
      Among di erent imaging techniques MRI, MRSI and CT scans are some of the widely use techniques to visualize brain structures to point out brain anomalies especially brain tumor. Identi cation of brain tumor accurately ...
    • Dynamic image analysis for abnormal behavior detection 

      Ahmed, Md. Ashik; Isha, Mushfique Ahmed; Ahmed, Al-Amin (BRAC University, 2017-04-18)
      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, ...
    • Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network 

      Rayhan, Mohammad; Sultana, Samiha; Majid, Annur (Brac University, 2019-12)
      This study shows importance hierarchy of financial factors of corporations’ Goodwill and tries to foresee with popular machine learning and deep learning models. Financial engineering is using mathematical model to study ...
    • Forecasting market movement in Dhaka Stock Exchange: LSTM vs. ARIMA 

      Chakraborty, Pranjal (Brac University, 2019-04)
      This paper creates and examines the performance of LSTM models against ARIMA models, using Dhaka Stock Exchange data from beginning of 2000 to the beginning of 2019. An algorithm has been designed to simultaneously train ...
    • Image processing and deep learning approach to evaluate earthquake resistance of urban buildings 

      Ahmed, Yasin; Alam, Tawsiful; Shakil, Md. Hasibur Rahman; Hossain, Md. Tanjidul (BRAC University, 2018)
      The capital of Bangladesh, Dhaka, is one of the most densely populated cities in the world, sits atop the world’s largest river delta at close to sea level, which can trigger a massive earthquake resulting in death of ...
    • Image recognition by deep learning 

      Mohiuddin, Karishma; Das, Amit Kishor; Obaid, Habiba Bint (BRAC University, 2017-08-21)
      Object recognition has become a crucial topic in the field of computer vision. Poor qualities of images unable bring out the desired object as per expectancy. Many models have proposed to recognize object from image. ...
    • Smart surveillance system for identifying bikers without helmets using deep learning 

      Hossain, MD. Iqbal; Muhib, Raghib Barkat (Brac University, 2019-08)
      Modern world is progressing quickly along with technology and one of the major sectors is transportation technology. Day by day the number of people are increasing and the number of vehicles are increasing too. As a ...
    • Structurally and semantically coherent deep image inpainting 

      Sami, Mirza Tanzim; Khan, Ehsanul Amin; Rhidita, Ishrat Naiyer (BRAC University, 2018-12)
      This thesis proposes an augmented method for image completion, particularly for images of human faces by leveraging on deep learning based inpainting techniques. Face completion generally tend to be a daunting task because ...
    • 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 ...