Digital Repository

Browsing 2023 by Title

Browsing 2023 by Title

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  • Caption Generator for Videos 
    Imantha, Nadun (2023)
    "Many social media users face challenges when trying to create engaging and relevant captions for their uploaded videos. This difficulty can impact the performance and visibility of their content. To address this issue, a ...
  • CardioRisk Pro (Heart Disease Prediction System) 
    Gunathilaka, Sayuru (2023)
    "Heart disease is a prevalent and severe health condition that impacts a vast number of people globally. Being one of the top causes of mortality, timely detection and accurate prediction of heart disease can play a vital ...
  • 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 ...
  • CCPIS 
    Croos, Sandeesh (, 2023)
    "Climatic change has become a major drawback to the human civilization where most of the scientists, researchers concern about the ever-changing environments The life of the earth existence mostly based on the atmosphere ...
  • Citrus fruit disease identification application 
    Perera, Oshadha (2023)
    "The Citrus Fruit Disease Identification System is a cutting-edge system that seamlessly combines disease diagnosis and fertilizer suggestion features created exclusively for Citrus plants. This cutting-edge system gives ...
  • Classifying Sinhala Sign Language to Text Using Transfer Learning 
    Isthaffa, Ahmed (2023)
    "Effective communication is essential for human beings to solve problems and address issues. Language is a crucial component of communication, and for people with hearing or speech impairments, sign language serves as a ...
  • CloudSentry: A Novel Amalgamate Framework for Monitoring Multi-Tenant Cloud-Based Applications Deployments 
    Kariyawasam, Minura (2023)
    "Conflicts over monitoring data and the rise of independent monitoring solutions for various disciplines have become problems and make it extremely difficult to recognize significant dangers to the system and act quickly ...
  • ColoSeg: A Medical Image Segmentation System with Deep Learning 
    Baptist Mathuranayagam, Valan (, 2023)
    "Medical Image Segmentation is one of the primary and important phases of clinical diagnostics. Colorectal diseases are one of the few where the initial identification of cellular nuclei is plays an important factor for ...
  • Computer Vision Based Motion Capture System 
    Alwis, Anushka (2023)
    "The current state-of-the-art motion capture systems utilize markers placed on actors, tracked by either cameras or wearable sensors. However, this technique has several drawbacks, including the high cost of hardware, the ...
  • CoVacci-MOOD: A Sentiment Prediction Platform to Analyze COVID-19 Vaccination related Micro Blogs Utilizing Hybrid Deep Learning Techniques 
    Hakmana Dura, Medha Kavindi Munasinghe (2023)
    "During the December month in 2019, a deadly disease called SARS-CoV-2 corona virus disease (COVID-19) started spreading all over the world causing the deaths of enormous number of humans. As a prevention cause world health ...
  • 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 ...
  • Croppy 
    Kalapuge, Sandaru (2023)
    Even though over 300 million people suffer from food insecurity, approximately 1.3 billion tons of agri-food will go to waste or be lost each year due to food supply chain inefficiency in the world. The total value of ...
  • CryptoFutureVision A Deep Learning Approach to Forecast Cryptocurrency Price Based on Social Sentiments and Historical Price Data in Real-Time 
    Peiris, Shanuka (2023)
    "Real-time cryptocurrency price prediction is a challenging task that captivates the interest of cryptocurrency investors and traders. The market's high volatility, influenced by multiple factors like news events and ...
  • CryptoInheritor - An automation system for crypto inheritance 
    Welimahara, Rasula Yadithya (2023)
    "Crypto currencies allow users to execute seamless, quick and cost-effective transactions globally without relying on intermediaries. This is made possible due to its ledger-based and decentralized architecture. However, ...
  • CVS Check- Computer Vision Syndrome Prediction 
    Samarawickrama Kodikarage, Disney (2023)
    "Computer vision Syndrome (CVS) refers to the harmful effects on the eyes and eyesight caused by continuous use of digital devices such as computers, smartphones, and tablets. These effects can cause discomfort, eyestrain, ...
  • CyberSuccor: Intelligence Technique for Sinhala Language Cyberbullying Detection on Social Media 
    Chamuditha, Vajith (, 2023)
    Cyber bullying is a growing concern in today's digital age, particularly on social media platforms. While there have been numerous studies on cyber bullying detection in English, research on Sinhala cyber bullying detection ...
  • DAugtify: Revolutionizing Computer Vision Performance with Automated Data Augmentation 
    De Silva, Pubudu (2023)
    "The performance of modern Convolutional Neural Networks (CNN) heavily depends on the quality and the volume of the dataset. However, collecting proper training datasets in many real-world domains is well-known to be ...
  • Decision Making Application Through Blockchain 
    Gunasekara, Thisara (2023)
    "Blockchain technology is a technology that is spreading rapidly all over the world. Japan, America, and China, like most powerful countries, are increasing their usage of blockchain day by day. There are many key factors ...
  • Deep Learning and Machine Learning for the Diagnosis of Paddy Diseases in Sri Lanka 
    Jayawardhana, Avishka (2023)
    "In Sri Lanka, rice is renowned for having a lengthy history. Paddy crops are grown all over the nation in practically every area due to their significance as the main food source. The rice harvest can occasionally be ...
  • Deep Learning Approach to Detect Paddy Crop Disease with Image Processing 
    Vijerathna, Keshan (2023)
    "In the farming sector, there is a great need for automated rice crop disease detection and analysis. It can be used to reduce yield losses, increase treatment effectiveness, prevent the wastage of money and other ...

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