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

Now showing items 221-240 of 1496

    • Mitigation of hallucination and interpretations of self attention of Mistral 7B AI to analyze and visualize context understanding ability of large language models 

      Taki, S.M. Abrar Mustakim; Kar, Showmick; Niloy, Soumik Deb; Rakib, Mazharul Islam; Biswas, Abdullah Al Nahid (Brac University, 2024-01)
      In recent years, Large Language Models(LLM) have shown excellent performance in a variety of Natural Language Processing tasks. However, they often produce hallucinated content. Contents that are seemingly correct and ...

    • Real-time foul detection in football matches using machine learning techniques 

      Siddiqui, Bishal Sadi; Mridul, Zeeshan Ahmed; Habib, Zaki; Sakib, Ibrahim; Chowdhury, Md. Ahmarul Islam (Brac University, 2024-01)
      As a widely popular sport worldwide, football necessitates precise and consistent decision-making to uphold fair game-play. It has become essential to automate and optimize certain aspects of the game for fairness and ...

    • Unleashing potential: a data-driven exploration of identifying player potentialities through advanced analytics in sports 

      Bhowmik, Prashanta; Islam, Md. Khaliful; Khan, Nabil Shartaj; Acharjee, Ananna (Brac University, 2024-01)
      In this project, we delve deeper into the complex area of predicting a potential replacement of a footballer of a specific position. For that, we used multiple machine learning models on the Sofifa dataset. Our analysis ...

    • A deep learning application for real-time debris detection: underwater environment 

      Sinthia, Afsana Kabir (Brac University, 2023-12)
      Recognizing the significance of accurately measuring and removing underwater waste is vital for safeguarding marine ecosystems and the environment. Measuring underwater waste is challenging due to factors like light ...

    • NLP-based AI robot for intelligent interaction 

      Dastagir, Golam; Hossain, Khaled Mushahed; Haque, Md Mahfujul; Gaffar, Raiyan Bin (Brac University, 2024-01)
      The benefits and advantages of integrating AI, ML, and NLP into library services which can redefine how traditional libraries function are thoroughly discussed in this paper. The practical applications of ML and AI in ...

    • Doodle2Clothing : a clothing design recognition and searching model from a doodle drawing 

      Ani, MD Fahim Afridi; Palak, Asif Zubayer; Dip, Shaikh Atisha Rahbath; Pramanik, Arnab; Medha, Tayaba Amin (Brac University, 2024-01)
      In recent years, pattern recognition has made significant progress; as computers can now identify and classify patterns of objects from various types of visual sources. These substantial forward strides in image and ...

    • Building Security Operations Center (SOC) using open source technologies SIEM for industries 

      Rabby, Zahidul Haque (Brac University, 2022-09)
      In this day of rapidly expanding technology, large industries, enterprises, and star tups must safeguard sensitive information about their clients, employees, internal processes, and more. However, with the growth of ...

    • Application of deep learning in MRI classification of Schizophrenia 

      Joyee, Ramisa Fariha; Rodoshi, Lamia Hasan; Nadia, Yasmin (Brac University, 2023-01-23)
      In today’s world, when people are suffering from complex brain diseases, MRI has been playing a very significant part in understanding brain functionalities and its abnormalities. Deep learning has been recently used for ...

    • Detecting tweet sentiment and sarcasm on online learning during covid-19 

      Das, Shishir Kumar; Nisa, Khairun; Kabir, Razit; Tonni, Israt Jahan (Brac University, 2023-01)
      COVID-19 pandemic has created a lot of challenges for student learning and educa tion across the globe. As a result of the global increase of the state of COVID-19, numerous educational institutions in the whole world ...

    • Pneumonia Disease detection using the convolutional neural network 

      Ashrafee, Md. Iftid; Sourav, Koushik Barmon; Dolna, Mahazabin Khan; Haque, Samia (Brac University, 2023-01)
      A bacterial illness called pneumonia causes inflammation in the air passages with one or even both lungs. The disease can range from mild to life-threatening. Diagnosing the disease at an earlier stage is crucial for the ...

    • Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning 

      Sakib, Hasibul; Alok, Aditto Baidya; Huq, Fardin; Ullah, Shamsil Arafin; Ghosh, Riya (Brac University, 2023-09)
      Cancer, an enduring medical enigma with historical recognition dating back to ancient civilizations, remains without a definitive cure. This research undertakes a comprehensive investigation encompassing nine prevalent ...

    • 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, ...

    • 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 ...