Recent Submissions

  • An efficient deep learning approach to detect neurodegenerative diseases using retinal images 

    Irfanuddin, Chowdhury Mohammad; Shafin, Wasique Islam; Ahmed, Koushik; Khan, Md. Hasib (Brac University, 2023-01)
    Neurodegenerative disorders are diagnosed through undergoing brain MRI, CT scans, genetic testing, and various laboratory screening tests which are often tedious, time consuming and beyond the means of most people’s financial ...
  • Prediction of genetic mutation from clinical data of sickle cell disease using few-shot siamese bidirectional LSTM and federated learning 

    Alam, Salman; Oni, Atquiya Labiba; Samir, Jubair; Hossain, Asif Mosharrof (Brac University, 2023-05)
    Sickle Cell Disease is a monogenic genetic disorder which often leads to various repercussions affecting multiple vital organs simultaneously. However, the treat- ment for Sickle Cell is diverse and often varies from ...
  • Advanced health insurance system using smart contract of ethereum blockchain 

    Tushar, Mehedi Hasan; Abdullah, Sifat; Shad, Aar Rafi Shahriar; Hyee, MD. Hisam Bin; Hesham, Sheblee Mohammad (Brac University, 2023-05)
    Every year, more healthcare insurance frauds are discovered, which is hugely worrying for society. Healthcare insurance fraud takes many forms, including fabricating data, obfuscating third-party responsibility, misrepresenting ...
  • Blockchain based e-voting system with homomorphic encryption and threshold signature 

    Probor, Mushfique Nasir; Ahmed, Mursalin; Kabir, Sharika Bintey; Fuad, Md. Muhtasim; Bushra, Tasnim (Brac University, 2023-05)
    Security issues have been at large as mankind is becoming more comfortable with technologies. The rapid growth of technology has not given us enough time to understand technologies in whole. Thus this revolution in ...
  • Benchmarking erasure coding schemes in openStack swift 

    Noor, Khandaker Ishrak; Noor, Yeasif Bin; Afrin, Shaima; Hossain, Mahanaj; Upoma, Rezuana Imtiaz (Brac University, 2023-05)
    Erasure coding (EC) is a security measure that allows for data to be reconstructed from parity pieces, which eliminates the need for complete data replication. EC offers increased data redundancy, efficiency, lowers ...
  • Construction of 3D environment from 2D RGB images and depth information 

    Shakir, Redwanul Islam; Hossain, Sarwar; Khan, Mehrab Mohsin; Mayaz, Md Ishtiaq Enam (Brac University, 2023-05)
    Modern operations have introduced a new class of highly functional applications, redefining what can be built in a given amount of time. 3D modeling is required to resolve several shortcomings in outdated processes and ...
  • Behavioural analysis of factors influencing online food ordering and its relation to obesity 

    Labib, S. M. Fazle Rabby; Achol, Fahmida Zaman; Jawwad, Md. Aqib (Brac University, 2023-06)
    The purpose of this research is to determine what influences people to order food online and the intensity of ordering as well as to see if there is any correlation between online food ordering and obesity among the people ...
  • Exploring the barriers to access feminine healthcare among marginalized women in Bangladesh and design implications 

    Puja, Sreya Sanyal; Neha, Nahian Noor; Alif, Ofia Rahman; Sultan, Tarannaum Jahan (Brac University, 2023-05)
    In today’s era of information and technology for promoting and maintaining both physical and mental health, high-quality healthcare services are crucial. Telecommu- nications service creates an opportunity to close the ...
  • Enhanced and secured hybrid steganography model for hiding large data 

    Majumder, Srabony; Tanu, Mohon Dash; Faisal, S. M. Fahim; Sristy, Mumtahinah Rahman; Paul, Rigan (Brac University, 2023-05)
    Recent works on steganography basically are focused on various network layers and multiple data-hiding techniques. These researches lead to image manipula- tion, contortion and small-scale payload. This paper proposes a ...
  • Preliminary design concept for startups: minimum viable user experience 

    Haque, Tanzimul; Ibrahim, Shauki Ibna; Sumaiya, Maisha; Tithi, Afreen Rahman (Brac University, 2023-05)
    Small startups often develop websites or mobile applications without fully understanding what the users really want. However, obtaining trustworthy early feedback from customers can be challenging because they tend to ...
  • Graph data mining-based community clustering for gender-biased community detection of social media 

    Dev, Sanjoy; Tabassum, Maliha; Khan, Mohammad Rahat; Hoque, Maliha Bushra; Fatema, Basharat (Brac University, 2023-05)
    One of the alarming and uprising issues of the world is gender inequality in recent decades. It is a widespread problem that affects people all around the world, albeit its manifestations and severity vary depending on ...
  • Obscure face recognition using deep neural networks 

    Akash, MD Shahadat Hossain; Sharife, Shadman Bin; Datta, Bondon (Brac University, 2023-06)
    One of the most effective biometric tools for securing diverse systems is facial recog- nition technology. Traditional security mechanisms like PINs, passwords, and fin- gerprints have shown to be less effective and ...
  • Research on the latest trends in Bangla named entity recognition 

    Farhan, Niloy; Joy, Saman Sarker; Mannan, Tafseer Binte (Brac University, 2023-05)
    Named Entity Recognition (NER) is a sub-task of Natural Language Processing (NLP) that distinguishes entities from unorganized text into predefined categorization. In recent years, a lot of Bangla NLP subtasks have received ...
  • Application of deep convolutional neural network in multiclass skin cancer classification using custom CNN architecture 

    Shafique, Nadia; Shaheen, Kaynat Bint; Sikder, Zarjis Husain; Dey, Utsho; Swacha, Sharforaz Rahman (Brac University, 2023-05)
    Skin diseases represent a significant global health concern, and prompt and pre- cise diagnosis is necessary for efficient treatment. Convolutional Neural Networks (CNNs), in particular, have shown tremendous promise in ...
  • Detection of Deepfake using computer vision and deep learning 

    Rahman, Anisur; Uschash, Ehteshamul Islam; Rahman, Faria; Adiba, Shihaba Jamal Chowdhury; Labib, Tahmidul (Brac University, 2023-05)
    In this era of Metaverse and technological advancement, Deepfakes are one of the most alarming concepts. Deepfakes are mostly synthetically-generated manipulated photos or videos which is created swapping a face of a ...
  • Predicting obesity: a comparative analysis of machine learning models incorporating different features 

    Rahman, Md.Sakibur; Ahmed, Kaosar; Nafis, Tanvir Alam; Hossain, Md. Ridwan; Majumder, Swapnil (Brac University, 2023-05)
    Obesity, the excessive accumulation of body fat, is a significant health risk associated with various detrimental impacts, including the development of chronic diseases, metabolic abnormalities, joint problems, sleep ...
  • Stock price prediction 

    Das, Kaushik; Azad, Tahzib; Islam, Sadid; Chowdhury, Nuzhat; Ahmed, Nazia (Brac University, 2023-05)
    Accurately predicting the stock value enables investors to earn more money, reducing their uncertainty on whether to buy and sell. Again during the COVID-19 period, many companies have shown a different picture of the ...
  • Hand gesture recognition using ensemble method 

    Kowsar, Sahib; Chowdhury, Mahzabin; Mahmud, MD Safin; Haque, Shahbaj Shafin; Shifa, Asaka Akther (Brac University, 2023-05)
    Even though things have improved much more over the last century in terms of com- munication, there still is a glaring amount of communication gap between the hearing majority and the deaf community due to the lack of ...
  • An approach to detect smartphone addiction through activity recognition and app usage behaviour 

    Uz Zaman, Nur; Akther, Afroza; Tabassum, Nowshin; Samrat, Md. Khaliduzzaman Khan; Khan, Swad Mustasin (Brac University, 2023-05)
    The widespread use of smartphones has raised concerns about problematic smartphone use or addiction, which has become a significant issue in today’s society. Despite the recognition of this research area, detecting smartphone ...
  • Automated health monitoring system 

    Tanvir Fahim, Sheikh Farhan; Hasan Rudra, S.M. Mahmudul; Roy, Nirvik Guha; Al-Maruf, Abdullah; A-Zannat, Zahrun (Brac University, 2023-01)
    One of the most popular proverbs we have heard since we were little is that ”Health is wealth”. Ever since the beginning of time, people have been curious to learn and discover new techniques to maintain good health. ...

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