Thesis & Report, BSc (Computer Science and Engineering): Recent submissions

Now showing items 141-160 of 1402

    • 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 ...

    • 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 ...

    • Analysis of uncertainty in different neural network structures using Monte Carlo Dropout 

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

    • An efficient face recognition model using multiple angular images and deep neural network architecture 

      Subah, Silma; Nath, Arpita; Armisha, Mitheela das; Binte Sakhawat, Sumaiya; Alam Parbo, Md Nuhas (Brac University, 2023-01)
      Face surface information in three dimensions is one of the promising biometric modality that can improve the identification and increase the accuracy of verification of face recognition systems in challenging situations.This ...

    • Chaos in Quantum Mechanics 

      Rahman, Md. Mahfujur; Pandey, Sovers Tonmoy (Brac University, 2023-01)
      This thesis provides a detailed view of Out-of-time-order correlators in quantum mechanics. And how we can use OTOC to calculate chaos in quantum mechanics. We present precise OTOC calculations for a circle billiard, a ...

    • Bay Emporium Ltd. internship as a front-End web developer 

      Ahmed, Sharlina (Brac University, 2023-01)
      Bay Emporium has grown from a local leather business to a significant exporter of products and footwear. They provide a diverse range of goods for infants to elderly people, male and female. The target market for Bay ...

    • Online engage-measurement in tutoring session 

      Siddique, Saadman Omar; Alam, M. Shafiul; Alam, Mahmud; Hasan, Nabil; Tajwar, M. M. Hasan (Brac University, 2023-01)
      The COVID-19 pandemic has brought about a significant change in the way educa tion is delivered worldwide. Restrictions have forced schools, colleges, and universi ties to hold classes online using video communication ...

    • An efficient approach for recyclable waste detection and classification using image processing techniques 

      Chowdhury, Prabal Kumar; Islam, Md. Aminul; Haque, Md Aminul (Brac University, 2023-01)
      One of the world’s most pressing issues right now is the lack of a competent waste management system, particularly in emerging and underdeveloped countries. Re cycling solid waste, which comprises numerous dangerous ...