BEng (Hons) Software Engineering: Recent submissions

  • Prescribed Medicine Detecting and Give Information About Medicines Using Tesseract OCR 
    Pathirana, Vinu (2023)
    "It can be challenging for the general public and some pharmacists to understand the prescriptions that doctors have prescribed because their handwriting is often unreadable. They will deal with dozens of patients each ...
  • Deep Learning Approach to Identifying Disease in Tea Leaves in Sri Lanka Using Image Processing 
    Palihawadana, Ravindu Janith (2023)
    "In Sri Lanka, the agricultural industry has always operated as a significant economic force, offering a unique contribution to the national economy. One of Sri Lanka's main industries for earning foreign currency is the ...
  • Detecting Skin Diseases Along with Microorganisms & Recommending Ayurvedic Remedies 
    Nirogene, Lucia (2023)
    "The increasing frequency of skin disorders, as well as their far-reaching effects on people's quality of life, need the development of an efficient, accurate, and easily accessible tool for early detection and diagnosis. ...
  • A Gated Transformer-Based U-Net Model for Cardiac MRI Segmentation 
    Nettasinghe, Oshan (2023)
    "The study focuses on enhancing cardiac MRI segmentation using attention-based medical image segmentation models, particularly gated transformer architectures. It addresses the limitations of traditional convolutional ...
  • SyntHaze: Enhancing Object Detection in Haze-Prone Environments through Synthetic Haze Generation 
    Nanayakkara, Suhith (2023)
    The advancements of deep learning have paved the way for object detection methods to reach high levels of accuracy and speed. However, when these models work in adverse weather conditions, their performance downgrades ...
  • An Ensemble Machine Learning Model for Inflation Forecasting 
    Nakandala, Pathum (2023)
    Forecasting inflation is an important task for various reasons. It can be used for the central banks to make effective economic and monetary policies to stabilize a country’s economy. It can be also useful for the companies ...
  • Insuresense - a Health Risk Prediction System for Life Insurance Using Machine Learning 
    Muthugala, Sachini (2023)
    "Life insurance industry plays a giant role in sustainable economic growth in any country. Basically, insurance is transferring the risk of loss from one entity to another to exchange for payment. In the present era, the ...
  • Predicting the Bug Fixing Time as a Regression task using Sentence embeddings and CNN 
    Munasinghe, Dinuvi (2023)
    "Prediction of the software bug fixing time is a crucial task during sprint planning and preplanning in the software development world. If more than the required time is allocated the software developers may be idle else ...
  • COVID-19 Pneumonia Detection from X-ray Images 
    Munasinghe, Sunera (2023)
    "The coronavirus disease of 2019(Covid-19) has been one of the most devastating diseases of the modern age, and has had a massive death toll since it originated in 2019. According to World Health Organization (WHO) as of ...
  • Guava Disease Identification using Deep Learning 
    Mudalige, Thanumi (2023)
    "Agriculture plays a very significant role in the day today lives around the world. The agriculture domain goes through many challenges like nutrition deficiencies, climate changes etc. Plant diseases are the biggest threat ...
  • Few-Shot Learning for Pothole Detection 
    Mohammed, Shamly (2023)
    "Research on road pothole detection has been ongoing for the past two decades, with signif icant progress made in the domain of semantic segmentation for detecting potholes. However, such approaches require a large ...
  • Ayurvedic Plant Identification using Image Processing and Artificial Intelligence 
    Mohamed Siddeek, Mohamed (2023)
    "The Ayurvedic medicine, known for its rich heritage and holistic healing approach, hinges on the accurate identification and understanding of various medicinal plants. This identification, however, can be challenging for ...
  • Salary recommendation system 
    Mohamed fazal, Mohamed shazan (2023)
    "In the information technology sector, it's critical for workers to receive a fair wage that accounts for their education and experience. When beginning a new job or negotiating a pay raise, many people, however, find ...
  • Deep Learning Approach to rate YouTube Thumbnails using Image Processing 
    Mendis, Pasindu (2023)
    "Inexperienced YouTube creators struggle to choose the right video thumbnails, especially in areas with a dearth of qualified specialists. Effective thumbnail selection tools are needed to help content creators overcome ...
  • Music therapy through facial expression recognition 
    Mendis, Chanuka (2023)
    "Music therapy is a better approach to treating emotional and mental illness now days, and it has been shown to be effective in improving the current mood of a person. However, traditional music libraries do not consider ...
  • A Mobile Application for Analysing and Forecasting Crime using ARIMA with ANN 
    Megalathan, Gajaanuja (2023)
    "Crime is one of our society's most intimidating and threatening challenges. With the majority of the population residing in cities, many experts and data provided by local authorities suggest a rapid increase in the ...
  • Improve NPC knowledge on game world 
    Mawanana Hewa, Vihanga Sithum (2023)
    One of the key challenges in open-world games is creating a realistic and immersive gaming experience for players. NPCs play an important role in achieving this goal, as they provide players with information and interactions ...
  • CatchCost 
    Marshal, Johnsan (2023)
    The researchers and writers whose work had a significant impact on the creation of the fish price prediction model mentioned in this study deserve my heartfelt appreciation. Their knowledge and commitment to the domains ...
  • Bone Fracture Detection System by Image Processing With Neural Networks 
    Manuwansha, Dhanuka (2023)
    This project is related to identifying the details in bone x-ray photographs by image processing and providing them to patients. Since there are several types of body part of x-ray images, the focus of this project is ...
  • Recommend a Suitable Player to Select or Bid in the IPL Auction 
    Manoharan, Arushan (2023)
    "The Indian Premier League is rapidly becoming one of the most widely watched and talked-about cricket format in the world. In IPL When putting together a squad the combination of international players and which players ...

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