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Browsing BEng (Hons) Software Engineering by Title

Browsing BEng (Hons) Software Engineering by Title

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  • CounselEase: Predictive Mental Health Support 
    Fernando, Oshadi (2025)
    Problem: There are various reasons that often lead to the neglect of mental health issues. These include the aspects of social stigma, lack of time, and limited scope of traditional face-to-face counseling. Most of 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 ...
  • COVDET for Detecting COVID-19 Infected Pneumonia from Chest X-ray Images with Image Processing 
    Maginaarachchi, Ravindu (2022)
    "Coronavirus Disease of 2019 (COVID-19) has become a major life-threatening global pandemic situation in the current world. According to the World Health Organization (WHO) as of 19th May 2022, it has reported 520,912,257 ...
  • COVID-19 Lung Mask Segmentation and Severity Estimation using Deep Learning 
    Sinhabahu Arachchige Don, Yasith (2022)
    "The outbreak of COVID-19, a type of pneumonia transmissible person-to-person caused by the Severe Acute Respiratory Syndrome Coronavirus 2(SARS_COV-2), has caused a global pandemic. In January 2020, the World Health ...
  • COVID-19 Pneumonia Cases Were Detected Automatically Using Deep Learning Model and X-Ray Images 
    Thavarasa, Deneshwaran (2022)
    This (COVID-19) is spreading quickly around the globe. COVID-19 victims have been diagnosed and isolated early, which has helped to slow the virus's spread. Deep learning algorithms are one of the greatest solutions for ...
  • 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 ...
  • Covid-19 Risk Identification Using Machine Learning 
    Maggonage, Shehan (2022)
    "The virus Covid 19 is a kind of a virus. This virus comes in a variety of forms. This was discovered in China in December of 2019. Within two to fourteen days after contracting this virus, symptoms appear in infected ...
  • CreativeAid! “Autonomous Creative Title Generation and Creative Text Identification Framework” 
    Shimak, Mohamed Naushad Ahamed (2019)
    Creativity is an art which aims at inducing certain set of beliefs in the target audience. In digital marketing and media, when promoting article or post creative titles are often composed to attract audience towards read ...
  • CredentialLog, A Transparency Log to Store the Signed Credentials of Artefacts 
    Kurukulasuriya, Miran (2024)
    This project offers a novel strategy to support software supply chain security systems in response to the growing concerns about software supply chain security. The main novelty is the use of a transparent log based ...
  • Credit Card Fraud Detection using Machine Learning 
    Ranasinghe, Thushini Maleesha (2019)
    Credit card is one of the most used transactional methods in the world and every year, fraudulent credit card transactions cause losses of billions of dollars. Designing efficient systems for fraud detection is key to ...
  • Credit scoring with macroeconomic factor analysis using machine learning techniques 
    Thenuwara, Jithendra (2019)
    Non-performing loans (NPLs) are loans which are several months overdue. An increase in NPLs can cause a huge impact to the economy and has even caused financial crisis in the past. Moreover, macroeconomic conditions such ...
  • Cricket Bowling Technique Analysis Using Pose Estimation and Deep Neural Networks 
    Wijerathna, Shahiru (2024)
    Now, human umpires watch the delivery and render an arbitrary ruling based on their interpretation of the rules to determine if a bowler's action was legal. This may result in errors and inconsistencies that affect the ...
  • Cricket Pose Trainer 
    Balasundharam, Rajith prasath (2018)
    Cricket is one major game that is being played or practiced by many people nowadays. There are many factors that contribute for a player to perform well in cricket. As like many other games Cricket also have many rules ...
  • Cricket Score and Winning Prediction through Data Mining 
    Radhakrishnan, Gokulan (2019)
    Predictions in the sport of cricket has always intrigued the fans. Cricket fans all around the world always wanted to know whether their favorite team would win the match, and always wanted to know whether their prediction ...
  • “CRICKML” Player Performance Prediction in Cricket 
    Hatharasinghe, Maduranga (2019)
    Cricket is one of the fastest growing and one of the most popular sports in the world. The primary objective of any team that is playing a Cricket match is to win. However, Cricket is a very dynamic sport and there are ...
  • CricTrack: Expectations of Cricketers to Develop their Skills 
    Pavalarajan, Vageesan (2022)
    "Cricket is one of the world's most popular and rapidly expanding sports, with people of all ages and genders participating. However, many cricket players cannot afford proper facilities, making it tough to play the game. ...
  • Crime Buster An Automated Criminal Profiling Tool 
    Wijerathna, H. M. S. A. (2016)
    Information Technology throughout the years since it was introduced, has contributed in many ways to the betterment of the world and has influenced areas like Business, Economics, Education, Communication, Medicine, ...
  • Crop Recommendation using ML and IoT 
    Paramasivam, Theepshana (2022)
    "In recent decades, agriculture in Sri Lanka has undergone a technological transformation, making farming more manageable, more productive, and profitable. On the other hand, farmers face several challenges and constraints, ...
  • CropDoc: A Deep Ensemble Learning Approach for Plant Pathology Detection 
    Umayanga, Athindu (2022)
    "Sri Lanka is a country with a rich background in agriculture that was called the ‘Granary of the east’, which resembles the rich agricultural status of the country. Agriculture plays a vital role in the economic growth ...
  • 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 ...

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