Now showing items 21-33 of 33

    • Multimodal human detection in disaster situations using deep learning & artificial intelligence 

      Rafat, Md. Tasbi; Hridy, Fahmida Ahmed; Zaman, Rafid Ibna; Santo, Hasibul Hassan; Siddique, Ibrahim (Brac University, 2022-09)
      Mankind has faced natural calamities for survival since the very beginning of human civilization. Even after 65 million years, mankind is still figuring out ways to face natural calamities and survive its post-consequences ...
    • A novel lightweight CNN approach for Bangladeshi sign language gesture recognition 

      Rahman, Aryan; Khan, Ahbab Ali; Shoumik, Tazwar Mohammed (Brac University, 2022-05)
      The impairment of speech impediment affects 6.9% of Bangladesh’s population. This is a condition in which people cannot communicate vocally with others or hear what they are saying, causing them to rely on nonverbal means ...
    • Occluded object detection for autonomous vehicles employing YOLOv5, YOLOX and Faster R-CNN 

      Mostafa, Tanzim; Chowdhury, Sartaj Jamal (Brac University, 2022-05)
      Autonomous vehicles [AVs] are the future of transportation and they are likely to bring countless benefits compared to human-operated driving. However, there are still a lot of advances yet to be made before these vehicles ...
    • Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning 

      Arafat, Sheikh Mohammad; Islam, Rifatul; Rafi, Ishraque Arefin; Islam, Md. Rashedul (Brac University, 2020-04)
      In this modern age, marketing strategy is becoming a new challenge. Not only the global market but also people’s choices are shifting to catch the attention of buyers. Also, based on consumer’s choice organizations are ...
    • Predicting suicidal intent from social media text post using machine learning 

      Chowdhury, Md. Mubin Ul Islam; Hasan, Mehadi; Nayem, A.K.M Muhibullah; Meem, Humaira Tasnim (Brac University, 2022-05)
      We are living in an age of modern science where cutting-edge technology has made the world so small. We can now easily connect with people worldwide via the internet and using social media. Social media has become a popular ...
    • Real time action recognition from video footage 

      Apon, Tasnim Sakib; Chowdhury, Mushfiqul Islam; Reza, MD Zubair; Datta, Arpita; Hasan, Syeda Tanjina (Brac University, 2021)
      Crime rate is increasing proportionally with the increasing rate of the population. The most prominent approach was to introduce Closed-Circuit Television (CCTV) camera-based surveillance to tackle the issue. Video ...
    • Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease 

      Hasan, M. M. Kamrul; Angan, Farhan Faisal; Rashid, Tasmim (Brac University, 2021-09)
      eep learning, a cutting-edge machine learning technique, has outperformed classical machine learning at detecting detailed structures in complex multi-dimensional data, particularly in the field of computer vision. As ...
    • Recognition of Bangladeshi sign language from 2D videos using openpose and LSTM based RNN 

      Dewanjee, Tanmoy; Nuder, Azibun; Malek, Md. Imtiaz; Nanjiba, Refah; Rahman, Atia Anjum (Brac University, 2021-02)
      Sign-language recognition is an essential part of computer vision to solve a communication obstacle between the deaf-mute and the common. Bangladeshi Sign Language (BdSL) is the medium of communication of the deaf and dumb ...
    • Shield key: a deep learning process for the generation of public & private keys using hybrid architecture in blockchain 

      Joy, Tanvir Ahmed; Ahmed, Sultan Gias Uddin; Ahmed, Mir Abrar; Islam, Sazzad UL; Nima, Menuka Tasnim (Brac University, 2021-06)
      The fast-growing cryptocurrency system is changing the financial world with its ensured blockchain technology. It’s specific use in expounding cryptocurrencies is highly acknowledged in the modern world, although the ...
    • Smart automated fruit freshness recognition system using image processing and deep learning 

      Shil, Prantha; Rahman, Zisanur; Bin Jalil, Jawad; Bin Sakib, Kazi Rishad; Hossain, Md. Tamim (Brac University, 2022-09)
      Bangladesh is one such country with a tropical monsoon climate typified by significant seasonal rainfall, high temperatures, and high humidity. A wide range of tropical and subtropical fruits are abundant in Bangladesh. ...
    • Smart companion agent for mental well-being through Deep Learning and NLP 

      Khan, Rafiur; Sohel, Abdullah Al; Shreyashee, Farhana Azad; Hossain, Shamima; Fiaz, Mahin (Brac University, 2021-01)
      Mental disorders are an unfortunate reality among the general population nowadays. Conditions like anxiety; depression may seem trivial on the surface but have serious consequences on an individual’s life. These disorders ...
    • Time-Series Forecasting of Ethereum Price using Long Short-Term Memory (LSTM) Networks 

      Al-Wasee, Mohammad Samin; Kundu, Promee Shankar; Mahzabeen, Israt; Tamim, Tasnim (Brac University, 2022-05)
      In recent times, ether (ETH) has become one of the most popular cryptocurrencies that is gaining significant interest from crypto investors and developers across the globe. The increased interest in this cryptocurrency ...
    • Traffic sign recognition using deep learning 

      Amir, Afia Binte; Nisa, Umme Habiba; Shafi, Ali Ashab; Reza, Md. Rafid-Ur (Brac University, 2019-12)
      Traffic sign recognition plays a significant role in modern automated driver assisting systems and showing information about safety measures. It is a technology that allows users to recognize traffic signs in real-time, ...