Recent Submissions

  • Enterprise software development internship 

    Rafi, Omar Mahdi (Brac University, 2023-05)
    "This internship report is based on my interning period at RedDot Digital Limited from September 2022 until the end of January 2023. RedDot Digital Limited is a 100% subsidiary of Robi Axiata Ltd which is a leading giant ...
  • Prediction of production rate for cultivable land correlating soil quality parameters and weather condition 

    Hassan, Mehedi; Rahman, S.M. Mushfiqur; Sobhani, Shadman (Brac University, 2023-07)
    In the modern time due to increasing global warming, the change of weather patterns and increase in pollution, the amount of crop production has been adversely affected. While on the other hand farmers trying to prevent ...
  • Human sentiment analysis using natural language processing 

    Shamya, Md. Shamiul Haque Khan; Fahim, Md. Shariar Hossain; Khan, Niaz Makhdum; Monir, K.M Mahfuzul; Hussain, Mubasshir (Brac University, 2023-05)
    "Emotion is something that roams with us, the vibrant tapestry of our human existence. People are frequently so emotionally motivated that we may get a peek of their emotions simply by observing them, listening to them, ...
  • Consequential factors influencing student’s learning experience in online team teaching of computer programming courses 

    Anwar, Md. Tawhid (Brac University, 2023-01)
    This study aims to explore the factors impacting how students learn in online pro gramming courses at the undergraduate level in Bangladeshi universities. In the semester of Summer 2022, an online questionnaire to evaluate ...
  • A comparison of deep learning U‐Net architectures for semantic segmentation on panoramic X-ray images 

    Bin Mushfiq, Rahil; Zannah, Rafiatul; Bashar, Mubtasim; Alam, Md. Nafidul; Rahman, MD Aftabur (Brac University, 2023-01)
    Digital image processing utilizes deep learning to tackle challenging issues such as image colourization, classification, segmentation, and detection. The medical image analysis field is developing day by day, and ...
  • 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 ...
  • A decentralized blockchain-based model to secure confidential medical information 

    Chowdhury, Tahmid; Jahan, Tabassum Nusrat; Rifat, Golam Rabbani; Nahid, Sadman Sakib (Brac University, 2023-09)
    "Nowadays in the current situation security in preserving data, keeping credentials is essential. Everytime a patient goes to a different healthcare institute that patient needs to go through checkup, most of the times ...
  • Pyramid pooling enhanced ResUNet for accurate 3D brain image segmentation 

    Mollah, Md. Shawon; Ahmed, Farhan Tanvir; Chowdhury, Mahjabin; Ahmed, Iftekhar; Hasan, S. M. Rakib (Brac University, 2023-09)
    "Medical picture segmentation is important for clinical applications because it can offer valuable information on disease identification. With the inclusion of deep learning techniques, the original U-Net and ResUnet ...
  • Automated fabric color prediction 

    Muhtashima, Fawzia; Maksurah, Fawzia (Brac University, 2023-05)
    "This paper focuses on addressing some challenges faced by colorists and explores various approaches to predict fabric color changes after dyeing processes. It empha- sizes the importance of color prediction in the textile ...
  • Multimodal fake news detection using text and image 

    Biswas, Trisha; Lamia, Tasmim Afroj; Shykat, Tarikul Islam; Rafi, Md. Arifin Ahmed (Brac University, 2023-05)
    Development in information and technology has made the communication easier in the recent decades. Easy access of social media is creating restraints amid of differentiating fake and real news. In the recent period the ...
  • Machine fault diagnosis using a modified transferable CNN 

    Shammi, Sanjana Khan (Brac University, 2023-07)
    Detecting prior bearing faults is an essential task of machine health monitoring because bearings are the crucial parts of rotating machines. The performance of traditional intelligent fault diagnosis methods depends on ...
  • XOPSIS: an explainable AI method based on the order of preference by similarity to ideal solution 

    Rahman, Anika (Brac University, 2023-07)
    Explainable AI (XAI) techniques are essential for comprehending machine learn- ing model predictions in a variety of fields, including healthcare. In this study, we highlight XOPSIS, a newly developed XAI method built ...
  • Ripple down rule based decision intelligence for mental disorder diagnosis 

    Rahman, G.M. Arafat; Ibnul, Tahmid Nizam; Mia, MD. Shamim; Akash, Abid Mahmood; Banerjee, Avinandan (Brac University, 2023-01)
    Ripple Down Rule (RDR), a rule-based incremental system, enables knowledge acquisition from human experts to knowledge-based systems (KBS). The majority of modern decision intelligence systems rely on machine learning ...
  • Evaluating the effectiveness of CNN-based models for diabetic retinopathy detection 

    Niaz, H.M; Tajrian, Nuha; Alam, Mohammad Ahsan Ibn; Limon, Md. Shahriar Khan; Saha, Sharnit (Brac University, 2023-06)
    One of the known eye conditions that affect human retinal blood vessels is diabetic retinopathy (DR). People with diabetes are typically at significantly increased risk for this. The blood vessels in the retina are damaged ...
  • Enhancing underwater object detection through water artifact removal and using ensemble transfer learning 

    Saikat, Nayem Hossain; Jahan, Sarowar; Abrar, Fahim; Rahman, Md. Motaqabbir; Rahman, Md. Ashikur (Brac University, 2023-05)
    The utilization and exploration of deep-sea resources has made underwater autonomous operation increasingly important to mitigate the dangers of the highpressure deep-sea environment. Intelligent computer vision plays a ...
  • Operating and analyzing of business data with digital enterprise division of BanglaCAT 

    Mitra, Mithila (Brac University, 2023-05)
    This internship report provides a comprehensive overview of the experiences, learn- ing, and contributions made during the internship period at Bangla CAT. The re- port encompasses a tailed description of the objectives, ...
  • Analysis of uncertainty in different neural network structures using monte carlo dropout 

    Islam, Md. Farhadul; Zabeen, Sarah; Bin Rahman, Fardin; Islam, Md. Azharul; Bin Kibria, Fahmid (Brac University, 2023-01)
    Deep learning technologies developed at an exponential rate throughout the years. Starting from Convolutional Neural Networks (CNNs) to Involutional Neural Net works (INNs), there are several neural network (NN) architectures ...
  • Plant leaf disease identification 

    Hasan Mahin, Mohammad Rakibul; Moonwar, Waheed; Rayhan Chy, Md. Shamsul; Shahriar, Md. Fahim; Rafi, Fahim Faisal (Brac University, 2023-01)
    Agriculture has consistently been an essential component of our day-to-day life over the centuries. Because of its contribution to our country’s revenue, the importance of agriculture has been steadily growing over the ...
  • Effect of social Media on mental health 

    Islam, Tahshinul; Farhan, Tajish; Ahmed Turjo, Syed Thakdir; Pretty, Nusrat Jaman; Sababa, Tasfia Haque (Brac University, 2023-01)
    An online community where people work together to produce, share and change their ideas and comments about any data is known as web-based social network ing. Over the past ten years, long-distance social networking purpose ...
  • Hyperledger fabric blockchain-based medical document and prescription sharing system: Enhancing data security and traceability of the healthcare sector in Bangladesh 

    Abdullah, Mohammed Taher; Hasan, Ikramul; Iqbal, Shadab; Banik, Srijan; Dihan, Merazul Islam (Brac University, 2023-01)
    In the current digital age, Blockchain technology has the potential to revolution ize the way sensitive medical information is handled. Blockchain’s immutable and encrypted nature makes it an ideal solution for preventing ...

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