Now showing items 1-20 of 48

    • 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 ...
    • 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 ...
    • Automatic brain tumor segmentation using U-ResUNet chain model approach 

      Alam, Mohd Tanjeem; Nawal, Nafisa; Nishi, Nusrat Jahan; Sahan, MD Samiul; Islam, Mohammad Tanjil (Brac University, 2021-09)
      Identifying brain tumors precisely within the early stage is still a challenging problem for the medical sector consistent with recent research. In a previous research approved by Cancer. Net Editorial Board, it was ...
    • Bangla number plate recognition from noisy video footage using deep learning 

      Chowdhury, Mahfuzur Rahman; Shahriar, MD. Muyeed; Meem, Esrat Jahan; Hossain, S.M.Faiyaz (Brac University, 2021-01)
      The automatic number plate recognition of a vehicle from noisy footage has become an important issue in Bangladesh. In Bangladesh, the number of vehicles is increasing at a very high frequency. Moreover, unlike the English ...
    • 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. ...
    • Brain tumor detection through image processing 

      Azmim, Tahaziba; Shumon, Azizul Hakim chy.; Alam, Maksud; Mishu, Saurav Ahmed; Chowdhury, Nuhash Ahmed (Brac University, 2021-01)
      Begin with image processing for technology to detect brain tumors. I.e. (The identification of tumor/cancer cells from brain images is primarily based on image recognition methods, since these images are complex and human ...
    • Cassava leaf disease classification using deep learning and convolutional neural network ensemble 

      Shahriar, Hasan; Shuvo, Protick Sarker; Fahim, Md. Saidul Haque; Sordar, Md Sobuj; Haque, Md Esadul (Brac University, 2022-01)
      Cassava is a high-protein and nutrient-dense plant, notably inside the leaves. Cassava is often used as a rice alternative. Pests, viruses, bacteria, and fungus may cause a variety of illnesses on cassava leaves. This ...
    • Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques 

      Ahasan, Md. Mubtasim; Fahim, Mohammad; Mazumder, Himadri; Fatema, Nur E; Rahman, Sheikh Mustafizur (Brac University, 2022-01)
      Infectious and non-infectious respiratory diseases are among the major reasons for deaths, financial and social crises around the world. However, medical personnel still find it very difficult to detect the diseases using ...
    • Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning 

      Niloy, Ahashan Habib; Shiba, Shammi Akhter; Fahim, S.M. Farah Al; Faria, Faizun Nahar; Rahman, Md. Jamilur (Brac University, 2015-08)
      Coronavirus 2019 (in short, COVID-19), originated in the Wuhan province of China in December 2019, has been declared a global pandemic by WHO in March 2020. Since its inception, it’s rapid spread among nations had initially ...
    • A deep learning approach to integrate human-level understanding in a Chatbot 

      Al Mamun, Amirul Islam; Abedin, Afia Fairoose; Nowrin, Rownak Jahn (2021-01)
      AI-powered computers like chatbots have taken over the market today to reduce human workload. Unlike humans, chatbots reply immediately, are available 24/7 and can assist several people at the same time. Due to the ...
    • A deep learning approach towards soft biometrics attributes prediction using CNN 

      Kibria, Maharab; Tabassum, Ilmi; Ahmed, Fardin; Habib, Nahian (Brac University, 2021-09)
      Any physical, behavioural or adhered human characteristics that we can observe from a person is known as Soft Biometric.The most common physical soft biometric attributes are height, age, ethnicity, facial hairs, gender, ...
    • Deep learning-based waste classification system for efficient waste management 

      Nakib, Abdullah Al; Talukder, Md. Nayem; Majumder, Chinmoy; Biswas, Soptorshi; Hassan, Jabid (Brac University, 2021-10)
      A smart waste management system plays a vital role in building cleanliness, hygienic, and healthier living for the inhabitants of a city. However, the inherent problems of the waste management system are still a matter ...
    • Demystifying black-box learning models of rumor detection from social media posts 

      Tafannum, Faiza; Shopnil, Mir Nafis Sharear; Salsabil, Anika; Ahmed, Navid (BRAC University, 2021-09)
      Social media and its users are vulnerable to the spread of rumors, therefore, protect ing users from these rumors spread is extremely important. This research proposes a novel approach for rumor detection in social media ...
    • 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 ...
    • 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 ...
    • Detection of alzheimer's disease using deep learning 

      Hasan, Mahmudul; Hassan, Syed Zafrul; Azmi, Tanzina Hassan; Hossain, Emtiaz (Brac University, 2019-12)
      Machine Learning has been on top of its form over the last few years. It covers a vast area of predictive web browsing, email and text classification, object detection, face recognition etc. Among all of the other ...
    • 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 stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images 

      Hossain, Mainul; Haque, Shataddru Shyan; Ahmed, Humayun; Mahdi, Hossain Al; Aich, Ankan (Brac University, 2022-01)
      Colon cancer is one the most prominent and daunting life threatening illnesses in the world. Histopathological diagnosis is one of the most important factors in determining cancer type. The current study aims to create ...