Now showing items 21-33 of 33

    • LRFS: online shoppers’ behavior based efficient customer segmentation model 

      Khan, Riyo Hayat (Brac University, 2023-02)
      The popularity of online shopping has grown significantly across the globe in recent years. This research proposes a customer segmentation model LRFS, an extended version of LRF model, built specifically for online ...
    • Optical flow based violence detection from video footage using hybrid MobileNet and Bi-LSTM 

      Haque, Tashfia; Ahmed, Farhan Fuad; Ahmed, S. M. Irfan; Siam, Mohammad (Brac University, 2023-09)
      This thesis presents a novel approach for the automatic detection, categorization, and sub-categorization of violent and nonviolent behaviors in video footage. This research addresses the growing necessity for enhanced ...
    • Real-time crime detection using convolutional LSTM and YOLOv7 

      Sakiba, Cyrus; Tarannum, Syeda Maisha; Nur, Farzana; Arpan, Fahad Faisal; Anzum, Ahnaf Ahmed (Brac University, 2023-05)
      The principal goal of this study is to create a crime detection system in real-time that can effectively handle closed-circuit television (CCTV) video feeds and evaluate them for possible criminal occurrences. The system’s ...
    • Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices 

      Ghosh, Kawshik Kumar; Islam, MD.Fahim-Ul; Efaz, Abrar Ahsan; Ratul, Md. Wahid Sadiq; Shatil, Md Zaid Hassan Khan (Brac University, 2023-01)
      The livestock industry is a vital component of the global economy, with a value estimated at over $1.4 trillion. However, the health of livestock animals is frequently threatened by infectious diseases, which can have ...
    • RetinalNet-500: a newly developed CNN model for eye disease detection 

      Toki, Sadikul Alim; Rahman, Sohanoor; Fahim, SM Mohtasim Billah; Mostakim, Abdullah Al (Brac University, 2022-05)
      Fundus images are commonly used by medical experts like ophthalmologists, which are very helpful in detecting various retinal disorders. They used this to diagnose the different types of eye diseases like Cataracts, ...
    • Rumor detection in Bangla using machine learning & deep learning 

      Ahmed, Md Istiaq; Anoy, Shoumik Malakar; Nusrat, Elham; Ahmed, Risat (Brac University, 2022-05)
      Over the last decade, social media networks have become a vital platform for sharing and obtaining information. Nevertheless, one of the dark sides of this social media fever is rumors and fake news. Because misinformation ...
    • A secured federated learning system leveraging confidence score to identify retinal disease 

      Eshan, M Sakib Osman; Nafi, Md. Naimul Huda; Sakib, Nazmus; Maruf, Md. Ahnaf Morshed; Emon, Mehedi Hasan (Brac University, 2023-05)
      Federated learning is a distributed machine learning paradigm that enables multiple clients to collaboratively train a global model without sharing their local data. How- ever, federated learning is vulnerable to adversarial ...
    • Shohojogi: an automated Bengali voice chat system for the banking customer services 

      Arnab, Kabir Abdur Rahman; Hossain, Md Ashiqual; Nabi, Istihad; Shoyti, Sadia Afrin (Brac University, 2023-03)
      As the name refers, this research aims to develop an automated voice chat system in Bengali language for the banking system. The system enables clients to learn about detailed information such as account opening queries, ...
    • Skin cancer detection and classification using multiple optimized deep convolutional neural network 

      Sakir, Adnan; Chowdhury, Mustakim Anwar; Rahman, Maksura; Mostafiz, K. M Shefat (Brac University, 2022-05)
      This work tries to detect skin cancer and classify its type using datasets containing labeled images and classes, using pre-trained CNN models and merged pre-trained CNN models. Skin cancer is an abnormal growth of skin ...
    • A texture based industrial fault diagnosis model using Gammatone Filter Bank and transfer learning 

      Morshed, Atique; Siraj, Farhan Md.; Munim, Abu Sadat MD.; Ayon, Tasnimul Karim; Goni, Saad Rafsan (Brac University, 2021-09)
      Rapid industrial growth has increased the vulnerability of systems to malfunction and permanent damage. Fault detection systems have been installed to prevent such occurrences. In order to eliminate potential life-threatening ...
    • Violent activity detection through surveillance camera using deep learning 

      Miah, Parvez; Haque, Abrar Ahbabul; Imran, Abdullah Al; Hassan, MD. Radip; Rahman, Rafiur (Brac University, 2023-01)
      Surveillance camera systems have been implemented in most parts of the world to combat the rising rate of criminal activities. In the hopes of making public places safer for everyone, computer vision has also aided in ...
    • Virtual teaching assistant for undergraduate students using natural language processing & deep learning 

      Sakib, Sadman Jashim; Joy, Baktiar Kabir; Rydha, Zahin; Nuruzzaman, Md.; Anik, Khaled Ahmmed (Brac University, 2022-05)
      Online education’s popularity has been continuously increasing over the past few years. Many universities were forced to switch to online education as a result of COVID-19. In many cases, even after more than two years ...
    • Yoga posture recognition using the deep learning process 

      Islam, Abidul; Sadman, Zarif; Imran, Shah; Islam, Sazzadul (Brac University, 2022-05)
      Yoga is one of the best activities from home to preserve our physical condition in the present epidemic. Yoga, on the other hand, is all about performing the 82 Yoga Asanas correctly over the course of six classes. ...